GSOC2018 Projects

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GFOSS project proposals for GSOC 2018

Students interested to participate should check which of the following projects fits their interests and skills. For practical information for students visit this page. For additional information, please subscribe to this list and post your questions. The full list archives are available here.

Proposed Projects for GSOC 2018. The GSOC Projects implemented in 2017 are available here.

Using Weld for Cryptography in the Zeus e-voting application (https://zeus.grnet.gr).[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

Zeus is an e-voting application, in use by thousands of people. It ensures anonymity and verifiability of the entire voting process by using strong cryptographic primitives. In particular, encrypted voter ballots are shuffled and anonymised in a verifiable way before decryption. This is computationally costly, so the Zeus team is constantly looking for ways to improve performance.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

Cryptographic operations are very costly and efficient implementations are essential for real-world production use. For example, when using Python, the underlying cryptography is typically implemented in C/C++, with suitable bindings in Python, so that the actual computations happen at a much greater speed than that afforded by the Python interpreter. In this context, in last year’s GSoC we implemented a Zero-Knowledge Shuffle mechanism in C/C+ and then made it available in Python through Cython. Now we want to try a new optimisation, offered by the use of the Weld framework (http://weld.stanford.edu/). Weld offers speed improvements by minimising the number of calls, and thus memory copy costs, between languages, in our case, between Python and C. In this GSoC project we want to implement our shuffle operations using Weld, measure the performance benefits, and offer it as a possible optimisation in Zeus.

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/grnet/zeus

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

  • Python
  • C, C++
  • Cryptography

Knowledge of Rust is a plus (Weld is implemented in Rust).

Mentors: Panos Louridas,Georgios Tsoukalas[επεξεργασία | επεξεργασία κώδικα]

Addition of Greek glyphs in Open Source Fonts[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

Many of the Open Source fonts (e.g., available at https://fonts.google.com), do not include glyphs for Greek letters and are therefore useless for using in a Greek environment.

The aim of this project is to imporve this situation and add the missing glyphs in the correct Unicode codepoints. The exact set of fonts to be completed will be determined in discussions between the student and the mentor(s).

This is not a typical programming project. If you have never designed fonts before, it is probably not for you.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

Full support for Greek text in a number of Open Source fonts.

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Type design, font technologies. Please note that this is a special project, where coding, in the traditional sense, will not be enough.

Mentors: Alexios ZavrasIrene Vlachou Εmilios Τheofanous[επεξεργασία | επεξεργασία κώδικα]

Adding Greek language on NLP library Spacy.io[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

Spacy is an open-source Python library for advanced Natural Language Processing. It's a very powerful and modern tool for applying NLP to real world problems. Among other functionality it provides Named Entity Recognition, deep learning integration, part-of-speech tagging and includes built in visualizers for syntax and NER. Spacy supports more than 25 languages but not Greek. Adding the Greek language will provide massive improvements on applying NLP on the Greek language, and allow for actions as Named entity recognition and Part-of-speech tagging

The procedure is well specified on https://spacy.io/usage/adding-languages, custom language data (stop words, tokenizer exceptions, punctuation rules etc) need to be added and tested.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

The vocabulary, syntax, entities and word vectors for the Greek language. These will be produced with Spacy/gensim, after the language information is successfully added.

The Greek language model with then be added to Spacy.io for usage as a supported language model.

As a real world scenario in order to test the language model, analysis on a large number of Official Greek Government's Gazette (FEK-ΦΕΚ) is proposed, in order to extract entities and categorize these documents.

Related  repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/explosion/spaCy

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Strong knowledge of the Greek language, Python language fluency and Regular Expressions knowledge are necessary for this.

Mentors: Markos Gogoulos Panos Louridas[επεξεργασία | επεξεργασία κώδικα]

Extraction of Responsibilities per unit in public sector organizations from the Government Gazette[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

The objective of this project is to extend existing Government Gazette(GG) text mining code with Named Entity Recognition features that will allow the identification of Government Directorates and Divisions with the responsibilities assigned to them and the types of services they are required to provide according with their legal framework published in http://www.et.gr/ and the extraction of this information with related metadata (decision number, date of the GG issue). The aim is to link the management units with assigned roles and services per unit(Directorates, Divisions & Sections) and codify this specific information, which is hidden in the GG issue raw text. For this, the PDFs must be downloaded, converted into text and cleaned. Then, syntactic-based heuristics and/or machine learning techniques must be applied to identify specific Named Entities types with references to assigned responsibilities-services per unit(Directorates, Divisions & Sections) and links between the two must be extracted. Metadata concerning the GG issue and decision and/or law number will be also associated with the extracted association. The produced associations will be extracted in a machine usable/structured format (e.g. as RDF triples).


Expected Results
[επεξεργασία | επεξεργασία κώδικα]

  • A module for manually annotating related entities and responsibilities-services assignment sections in raw text
  • A NER module, with trained models for detecting  Governmental Directions and Divisions in raw text
  • A module that associates entities with responsibilities and extracts related metadata from the GG issue

Related  repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/arisp8/gazette-analysis


Knowledge Prerequisites
[επεξεργασία | επεξεργασία κώδικα]

Python, Java, Machine Learning

Mentors: Iraklis Varlamis, Sarantos Kapidakis, Dionysios Moschopoulos Theodoros Karounos[επεξεργασία | επεξεργασία κώδικα]

Open source plugin for math and algebra in Moodle[επεξεργασία | επεξεργασία κώδικα]

Brief Description[επεξεργασία | επεξεργασία κώδικα]

Make the moodle learning environment more functional in relation to mathematics.   Although there are a lot of math editors available for moodle, there is still a lot of functionalities missing in relation to school algebra as an open source plugin

Expected Results[επεξεργασία | επεξεργασία κώδικα]

  • Develop a Moodle plugin with the following functionality.
  • Allow the teacher to design math assignments, which the student has to interactively solve. The plugin will provide real time feedback on each answer, whether it’s correct, partially correct or incorrect.
  • Give the teacher the ability to assign to students conversions of algebraic representations, (ie the student must make simplifications or factorizations), while the plugin monitors the process performed by the student and give him comments on the correctness of each step.
  • The same  functionality must be applied in the case of solving an equation.
  • Interoperate with the Geogebra plugin.
  • In addition to math-focused functionalities, it would be useful to create a page so that the teacher can write in the so-called “Student Progress Notebook” where the teacher comments on the performance of each student.

Related repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/moodle/moodle

https://docs.moodle.org/34/en/Mathematics#Equation_Construction_and_Display


We will utilize the work implemented by CERN with CERNBOX

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

XHTML

CSS

Javascript

Κnowledge of math and algebra

Mentors: Avgoustos Tsinakos, Diomidis Spinellis[επεξεργασία | επεξεργασία κώδικα]

Epoptes[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

Epoptes (Επόπτης  - a Greek word for overseer) is an open source computer lab management and monitoring tool. It allows for screen broadcasting and monitoring, remote command execution, message sending, imposing restrictions like screen locking or sound muting the clients and much more! It can be installed in Ubuntu, Debian and openSUSE based labs that may contain any combination of the following: LTSP servers, thin and fat clients, non LTSP servers, standalone workstations, NX or XDMCP clients etc.                                                   

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://www.github.com/Epoptes/epoptes

Expected Results[επεξεργασία | επεξεργασία κώδικα]

Rewrite Epoptes with Python 3 support

Gtk3 with GObject Introspection instead of pygtk2

Improvements in the code structure ( Break existing code into python modules/packages)

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Python

GTK

Mentors: Fotis Tsiamis, Avgoustos Tsinakos[επεξεργασία | επεξεργασία κώδικα]

Government Gazette text mining, cross linking, and codification[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

The objective of this project is to extend existing Government Gazette text mining code to cross-link legal texts and detect the ministers that sign them. For this the text PDFs need to be downloaded and converted into text. Then, heuristic rules must be applied to detect references to other legal texts, which will be converted into hypertext form. Similar techniques will be used to detect the competent ministers. Two possible extensions are proposed. First, detect amendments incorporated within another law. Second, implement a prototype for editing a law in its codified form (e.g. on GitHub) and automatically creating from the changes the text to be legislated (the differences from the original law).

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/arisp8/gazette-analysis

Expected Results[επεξεργασία | επεξεργασία κώδικα]

Detection of references to other laws; detection of competent ministers; codified legislation prototype

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Python

Mentors: Diomidis Spinellis Alexios Zavras Sarantos Kapidakis Dionysios Moschopoulos[επεξεργασία | επεξεργασία κώδικα]

Scriptum[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

SCRIPTUM is a Web based Open-Source application that will be used in order to eliminate bureaucracy and document loss, providing the Administration Office of the Greek Republic Vice President an extensible and integrated environment for document publishing, categorization and administration. The overall project involves two basic sub projects:

  1. e-Protocol: for handling incoming/outgoing mail messages and their attachments. Using this system, the e-Protocol users can benefit from the advanced OpenKm properties in order to manipulate the messages. This subsystem provides an easy way to complete forms relevant to the incoming/outgoing mail, form letters from templates and maintains a document repository equipped with document based security.
  2. Case Management: this sub system provides a well established work flow for treating documentation relevant to specific organization 's operations. Assignment Operations provides a standard way for managing and directing specific actions to be taken from the employees Administration Office of the Greek Republic Vice President of in order to complete organization 's operations.

These systems use as a document repository the document management platform OpenKM.

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/eellak/scriptum

Expected Results[επεξεργασία | επεξεργασία κώδικα]

  1. Interoperability with egov services in Greece and European Union ISA
  2. containerization of scriptum


Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

· Java

- Maven

- JPA 2.1

- ZK 8.x

- Spring 4.x


Mentors: Nick Koskinas,Panagiotis Kranidiotis[επεξεργασία | επεξεργασία κώδικα]

Development of an open source Greek Spelling and Grammatical dictionary[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

Development of a spelling- grammatical tool that can work both as a LibreOffice extension and as a stand-alone web service by reusing the AfterTheDeadline API in order to be reused into a wide range of packages and platforms (Firefox, Chrome, Thunderbird, TinyMCE / Wordpress, jquery, etc.).

Expected results[επεξεργασία | επεξεργασία κώδικα]

  • Extraction of Greek words from platforms with open licences (Wikipedia, Wikinews - wiki dictionary- Wikipedia revision history etc)
  • Creation of a morphological dictionary of Modern Greek which will include all the extracted  verbs, adjectives into finite state transducers (for the implementation of morphological analyzer and morphological word generator through the tools of Apertium and HFST).
  • Implementation of the tool:

in python3/c+/c++.

as LibreOffice extension

in  (REST/JSON)

Knowledge Prerequisites
[επεξεργασία | επεξεργασία κώδικα]

  • C
  • C++
  • Python
  • SQL

Mentors: Kostas Papadimas Diomidis Spinellis[επεξεργασία | επεξεργασία κώδικα]

Libreoffice customization and creation of legal Templates for LibreOffice[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

LibreOffice customization in order to achieve a "familiar" look and menus for users that convert from MS Office 2013, and creation of specific templates for the Greek Legal system. The customization and templates should follow the development guidelines at https://wiki.documentfoundation.org/Development/GetInvolved .

Expected results[επεξεργασία | επεξεργασία κώδικα]

Customization and Templates should be accompanied with detailed documentation and instructions for developers and end users.

Knowledge Prerequisites
[επεξεργασία | επεξεργασία κώδικα]

  • C
  • C++
  • Java
  • Python
  • Bash
  • Perl
  • Libreoffice Software Development Kit 6.0

Mentors: Kostas Papadimas Theodoros Karounos Diomidis Spinellis[επεξεργασία | επεξεργασία κώδικα]

Software components and IP management[επεξεργασία | επεξεργασία κώδικα]

More details in the separate page Clio.

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

A web-based system to manage data on software components and their relations.

Nowadays every piece of software is including and using many other software components, each one coming with their own license.

The goal of this project is to build a simple web system to be able to (manually) input and maintain this information!

This is a brand-new project; some analysis has been done but no code is available yet.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

A complete web-based system to manage the above-mentioned data.

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Web (any technology welcome)


Mentors: Alexios Zavras Georgia Kapitsaki[επεξεργασία | επεξεργασία κώδικα]

Files DB[επεξεργασία | επεξεργασία κώδικα]

More details in the separate page FilesDB.

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

A system to keep meta-data for a large number of files.

The files that are to be processed can be on the filesystem, in archives, or parts of a (git) repository. The metadata are mainly information about the contents (size, type, hashes, ...), so that afterwards a number of questions can be asked about the actual files: how many files, how many files larger than X, how similar are two archives/repositories, when was a file introduced in a repository, etc.

This is a brand-new project; some analysis has been done but no code is available yet.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

A software to collect the data from the input files and a collection of commands to query the data. These can all be command-line utilities; it would be worthwhile to also provide a Web interface, although it is not necessary.

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

C and/or Python; SQL; Git (and other systems); web


Mentors: Alexios Zavras Sarantos Kapidakis[επεξεργασία | επεξεργασία κώδικα]

CScout AJAX-based Interface[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

CScout is a source code analyzer and refactoring browser for collections of C programs. It can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux, OpenSolaris, and FreeBSD kernels, and the Apache web server.

The aim of this project is to redesign the current web interface, which is based on HTML forms generated by C++ code, into a responsive AJAX-based one. Under this scheme the C++ code will provide JSON data through a RESTful interface, which the JavaScript front-end will use.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

A modern responsive web interface offering the current capabilities of CScout. Ideally this would include in-line editing of identifiers.

Related GitHub repository[επεξεργασία | επεξεργασία κώδικα]

https://github.com/dspinellis/cscout

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

  • C++
  • JavaScript
  • A modern development framework for interactive web content

Mentor: Diomidis Spinellis Stamelos Ioannis[επεξεργασία | επεξεργασία κώδικα]

WSO2 Identity Server Userstore using Web Services to get claims[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

WSO2 Identity Server provides secure identity management for enterprise web applications, services, and APIs by managing identity and entitlements of the users securely and efficiently. The Identity Server enables enterprise architects and developers to reduce identity provisioning time, guarantee secure online interactions, and deliver a reduced single sign-on environment. WSO2 Identity Server is fully open source and is released under Apache Software License Version 2.0.

The aim of this project is to create a new type of userstore where credentials will be separeted from attirbutes and attributes (claims) will be able to be configured from the web UI as a SOAP or REST web service. The end-user should be able to

  • configure credentials for LDAP or JDBC
  • configure web service authentication
  • configure claims to consume the above web service

Expected Results

A new userstore where end-user can configure using existing web interface, user claims through web services client. The appropriate changes in the source code should be uploaded in the upstream branch of the latest version (5.4.0)

Related GitHub repository[επεξεργασία | επεξεργασία κώδικα]

https://wso2.github.io/

https://wso2.github.io/using-maven.html

https://wso2.github.io/github-repositories.html#IS

https://wso2.github.io/github-repositories.html

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

  • Java JSP
  • JSTL
  • Maven
  • OSGI Framework
  • A modern development framework for interactive web content

Mentors: Panagiotis Kranidiotis Stamelos Ioannis[επεξεργασία | επεξεργασία κώδικα]

WSO2 Identity Server Greek i18n translation[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

WSO2 Identity Server provides secure identity management for enterprise web applications, services, and APIs by managing identity and entitlements of the users securely and efficiently. The Identity Server enables enterprise architects and developers to reduce identity provisioning time, guarantee secure online interactions, and deliver a reduced single sign-on environment. WSO2 Identity Server is fully open source and is released under Apache Software License Version 2.0.

The aim of this project is internationalize in greek both Identity Server management ui and user dashboard.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

The appropriate locale files and the changes in the source uploaded in the upstream branch of the latest version (5.4.0).

Related GitHub repository:[επεξεργασία | επεξεργασία κώδικα]

https://wso2.github.io/

https://wso2.github.io/using-maven.html

https://wso2.github.io/github-repositories.html#IS

https://wso2.github.io/github-repositories.html

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

  • Java JSP
  • JSTL
  • Maven
  • OSGI Framework
  • Javascript
  • A modern development framework for interactive web content

Mentor: Panagiotis Kranidiotis Kostas Papadimas[επεξεργασία | επεξεργασία κώδικα]

The Transparency Program initiative - Diavgeia[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

Diavgeia is an application with a Mysql backend that is used in order to upload administrative decisions to an online public repository. This project participated in GSOC2017 as Diavgeia Redefined and a RDF Schema was implemented, which covers almost every possible decision type and the Notation3 (N3) syntax was adopted.

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/eellak/gsoc17-diavgeia

Expected Results[επεξεργασία | επεξεργασία κώδικα]

  1. Implementation of a query answering system which will translate natural language queries to SPARQL queries. This system will offer ordinary citizens a way to examine the legality and good administration of Diavgeia, without posing SPARQL queries by themselves.
  2. Find a way to ensure the integrity of the SPARQL endpoint. For the time being, decisions are stored both as compressed Notation3 files in the filesystem of Diavgeia and in Jena Apache’s triple store. The Stamper tool which is responsible for storing Notation3 decisions on the bitcoin blockchain, ignores the fact that these decisions are also stored on the triple store. That means that a modification/deletion of a decision from the triple store will go unnoticed. Students may have to implement a “Full Verification Procedure”. This procedure will extend the functionality of the Consistency Verifier tool, which will not only consider the computation of the Merkle Tree of Notation3 decisions, but it will also check that for each Notation3 decision, all related data is also offered through the SPARQL endpoint.
  3. Consistency Verifier tool makes requests to the chain.so explorer in order to read the Merkle Root and compare it to the computed Merkle Root of Notation3 decisions. One may assume that the administration of Diavgeia influences somehow the functionality of chain.so, and thus “foul play actions” may go unnoticed. Consistency Verifier may be extended and offer the option to read the root directly from the blockchain (e.g. using the bcoin.js library).

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

· PHP and/or JAVA

· Mysql

. Blockchain

Mentors: Nikos Tsiridis,Panagiotis Kranidiotis[επεξεργασία | επεξεργασία κώδικα]

OpenProject module to support of the PM2 methodology for project management[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

PM² is a Project Management Methodology developed by the European Commission, is built on Project Management best practices and is supported by the following four (4) pillars:

1) a project governance model(Roles & Responsibilities)

2) a project lifecycle (Project Phases)

3) a set of processes (Project Management activities)

4) set of project artefacts (templates and guidelines).

For a full support of PM² Project Management Methodology by OpenProject , new modules should be developed on OpenProject.

Expected Results:[επεξεργασία | επεξεργασία κώδικα]

Support for the process of PM² itself in OpenProject: That is, the tool should support defining and handling the roles, phases and activities (in terms of PM 2 governance, life-cycle and processes pillars) for every project.

The module should sθpport:

Support the PM² Governance Model (Roles ; Responsibilities)

Support the PM² Phases

Support the PM² Artefacts

Supportall PM2 plans and logs such as Change Log, Communications, Issue, Project ,Quality , Requirements, Risk

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/opf/openproject

https://ec.europa.eu/isa2/solutions/open-pm2_en\

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

  • ruby
  • scrum
  • angular
  • gantt-chart

Mentors: Diomidis Spinellis Stamelos Ioannis Vassilios Peristeras[επεξεργασία | επεξεργασία κώδικα]

Sampling and volume approximation[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

Volume computation is a fundamental problem in discrete and computational geometry with many applications in statistics, biology and economics. There is a variety of implemented solutions for that problem but they scale only to low dimensions (typically less than 10). The first implementation that scales to high (i.e. few hundred) dimensions is implemented in the C++ open-source software package VolEsti (https://github.com/vissarion/volume_approximation). The package contains algorithms for volume approximation as well as uniform sampling for polytopes. The main purpose of the current project is two-fold: first provide an non-C++ interface to the functionality of  VolEsti and second extend and improve VolEsti features.

The coding project could be divided in the following steps: 

  1. Understand the code structure and design of VolEsti as well as the implemented algorithms.
  2. Re-evaluate the dependency from some libraries. For example VolEsti depends on CGAL for linear programming but this is inefficient for high dimensions. Therefore, a goal is to rewrite parts of code to remove CGAL dependency and use an open-source library for convex optimization.
  3. Implement new features: new sampling and volume computation algorithms, support for polytopes given by the set of vertices of the convex hull, support for spectahedra.
  4. Create an non-C++ user friently interface, e.g. in python/SciPy/jupyter.
  5. Writing tests and documentation.

The steps are generic enough to be easily adapted to student's background and interests.

Expected Results:[επεξεργασία | επεξεργασία κώδικα]

A lot of users such as practicioners or researchers from a variety of scientific fields raging from biogeography to economics need a high level programming or scripting environment to test volume computation or sampling algorithms.

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/vissarion/volume_approximation

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

  • Must: C++, generic programming, linear algebra,
  • Plus: optimization, computational geometry, statistics

Mentors:Vissarion Fisikopoulos Panos Louridas Zafeirakis Zafeirakopoulos[επεξεργασία | επεξεργασία κώδικα]

Cryptocurrencies Wordpress plugin[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

Combination of digital and physical donation channels in a single product/plugin that will be embeddable in both WordPress & plain HTML webpages. Usage of blockchain technology will enable users to donate without paying any amount of money. Charities will also be able to track users who donate via digital asset.

Expected Results[επεξεργασία | επεξεργασία κώδικα]

A functional WordPress plugin for Donation Box and a stand-alone module, which allows users to donate with fiat, cryptocurrencies and buy lending his computer’s computational power (hashing power).


Related GitHub repositories
[επεξεργασία | επεξεργασία κώδικα]

https://github.com/eellak/gsoc17-donationbox

Mentors: Spiros Kapetanakis[επεξεργασία | επεξεργασία κώδικα]

Netdata[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation:[επεξεργασία | επεξεργασία κώδικα]

netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards. netdata is ideal for monitoring physical servers, VMs, VPS, containers, IoT.

netdata is highly active project, with hundreds of new users joining and hundreds of new installations completed, every day. netdata is also featured as one of the top github projects for 2016 (https://octoverse.github.com/).

Key components of netdata:

1. netdata daemon, its core, written in C, an asynchronous I/O, time-series database and web server, optimized for performance.

2. web dashboards, written in Javascript, HTML, CSS

3. external plugins, written in python, node.js, bash, C

netdata is the definition of full-stack development. It includes low-level C programming following embedded development principles, web-apps development for visualizing performance metrics, devops and sysadmin automation tasks for configuring health monitoring (alarms), statistical analysis of metrics, high level development for data collection from databases and third party apps, etc.

Related GitHub repositories: https://github.com/firehol/netdata[επεξεργασία | επεξεργασία κώδικα]

Expected Results[επεξεργασία | επεξεργασία κώδικα]

These are the main development directions

1. add more data collection plugins in any computer language, for monitoring the performance of popular third party applications.

2. add more data visualizations and dashboards.

3. add more health monitoring alarms, for monitoring popular applications and operating systems.

4. port netdata to more operating systems.

5. improve the distribution of netdata by setting up and maintaining binary packages for popular distributions.

6. improve the technical documentation of netdata (setup guides, how-tos for monitoring applications or functions, etc).

7. help spreading netdata, by improving the community and social media reach of netdata.

More ideas can be found at the netdata github repo

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Depending on the task in hand, different skills are required.

For example:

1. low level C programming (POSIX compliant, including pthreads)

2. python programming

3. node.js programming

4. web-app development (javascript, html, css)

5. bash scripting

6. linux system administration

Mentors: Costa TsaousisDiomidis Spinellis[επεξεργασία | επεξεργασία κώδικα]

Python PenTest Library (PyPen)[επεξεργασία | επεξεργασία κώδικα]

A collection of tools supporting penetration testers

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

Development of a Python library for penetration testers. The library will include a set of tools for performing the basic tasks for attacking a remote host. It will include reconnaissance tools such as modules that will be able to collect data for a specific target either through the web or through user input. Moreover, other tools will be developed to create custom dictionaries for username and password attacks. Other attack techniques that will be supported include DoS attack, BruteForce attack as well as Inclusion attack. The library will also include various statistical functions for extracting additional information from a captured host.

Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/jmortega/python-pentesting

Expected Results[επεξεργασία | επεξεργασία κώδικα]

Development of an independent Python library which will also integrate other existing and well consolidated tools such as CUPP (already in Kali Linux) for assisting in penetration testing.

Proposed tools

A. User Reconnaissance & Information gathering

Α.1/ PyFBSniff: Facebook scraper

Α.2/ PyGenUser: Username list creation

Α.3/ PyDic: Dictionary creation

Future extensions will include tools similar to PyFBSniff for other social media such as Twitter and Google+.


B. Target System Reconnaissance & Information gathering

A collection of supportive tools gathering and presenting information about the Operating System and its processes.


Β.1/ PyPScanner: Port Scanner

Β.2/ PyPidStat: Process statistics creation

Β.3/ PySocketStat: Socket statistics creation

Β.4/ PyPipeStat: Pipe statistics creation

Β.5/ PyFileStat: File statistics creation


C. Attack PenTest tools

C.1/ PyDoS : DoS attack by flooding

C.2/ PyBruftp: Bruteforce attack to ftp server

C.3/ PyRansom: Ransomware script

The library will be expandable in order to incorporate more tools in the future.


Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Python fluency

OS basics

Networking basics

PenTest basics


Mentors Antonios Andreatos, Panagiotis Karampelas, Christos Pavlatos[επεξεργασία | επεξεργασία κώδικα]

University Calendar of Courses and Venues[επεξεργασία | επεξεργασία κώδικα]

Brief Explanation[επεξεργασία | επεξεργασία κώδικα]

The Aristotle University of Thessaloniki has developed an open source solution for publishing a dynamic university calendar for students and faculty (see working instance http://class.auth.gr). It allows public view of Department calendars, Venue calendars and personal views of student / faculty calendars, based on courses they have registered with, or currently assigned to teach, respectively. It provides info on courses and venues reserved for sessions and exports of personal calendar in iCal format, and also serves as a general course catalog with generalized searches on faculty and courses.

List of tasks for the project:[επεξεργασία | επεξεργασία κώδικα]

Abstract the local db interface that draws info on courses and faculty from the student information system, in order to make it independent of the specific institution (AUTh) and more widely available for use elsewhere

Porting of student / faculty interface code from Angular 1.5 to Angular 6

Extend functionality to personal notifications for certain events (e.g. cancellation of class, rescheduling)

Support for a multilingual front-end (currently only in Greek)

Port it as a moodle plugin


Related GitHub repositories[επεξεργασία | επεξεργασία κώδικα]

https://github.com/auth-it-center/class.auth.gr-front-end

Expected Results[επεξεργασία | επεξεργασία κώδικα]

To produce a solution for a university calendar system that allows easy adoption for any Higher Education institution (in Greece and abroad), integrating an existing student information system (course and faculty assignments) with scheduling of classes and venues.

Knowledge Prerequisites[επεξεργασία | επεξεργασία κώδικα]

Javascript

Angular

JSON

PHP, MySQL databases

GraphQL for API implementation (optional)

Mentors:[επεξεργασία | επεξεργασία κώδικα]

Polyxeni Malasioti, Stella Rouzi, Spyros Xanthopoulos & Dimitris Daskopoulos