Objective
Over the last few years, the proliferation of Internet services has lead to a dramatic increase of network applications. However, reliable mechanisms for effective traffic profiling of network applications, and classification of the traffic flows according to the applications that generate them remain elusive. This lack of mechanisms combined with the fact that most modern applications intentionally or not “hide” their generated traffic has a number of adverse consequences: (i) it leads to inefficient management of network resources and infrastructure, (ii) it exacerbates the problem of security, and ultimately, and (iii) it induces poor end-user experience of the provided services, discouraging adoption of advanced technologies and Internet services. Our goal in this project is to advance the state of the art in the area of application identification by investigating algorithms and implementing a system that allows robust and automated application classification. The proposed methodology will be based on capturing the communication patterns of network applications in graph structures without inspecting the user data, respecting in this way user privacy concerns. This is attractive, since these properties are hard to obfuscate without modifying significantly the application itself, while at the same time the methodology succeeds even in the case of encrypted data. We believe that the collaboration proposed in this project has all the potential to bring it to a successful completion. Combining (i) the applicant’s knowledge of, and contributions to the state-of-the-art in, the area, with (ii) the extensive experience of the host in network measurements, will allow us to explore novel algorithms and solutions for the problem of traffic classification. Beyond its research merit, the proposal will significantly add to the applicant’s long-term career development and academic experience by setting this work as the point of reference in the area.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences computer security cryptography
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2009-IEF
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
70 013 IRAKLEIO
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.