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Research Opportunity
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Research Opportunity

Detection and classification of anonymised traffic


Work description

The work plan is aligned with a master's dissertation topic in Informatics Engineering at the intersection of the areas of information security and computer networking. In this context, the work will involve: - Research and evaluation of the state-of-the-art of traffic classification - Research and evaluation of traffic classification approaches supported by machine learning - Exploring strategies towards early traffic classification - Adaptation of an Intrusion Detection System (IDS) as a proof-of-concept - Comparative evaluation of the proof-of-concept - Dissemination of results in the form of scientific publication

Academic Qualifications

- Be enrolled in Master in Informatics Engineering.

Minimum profile required

- Knowledge about computer networks- Experience of development in C and Python languages- Proficiency in Portuguese and English

Preference factors

- Knowledge about traffic classification and characterisation - Knowledge about machine learning - Knowledge about Intrusion Detection Systems (IDS)

Application Period

Since 30 Mar 2022 to 12 Apr 2022


Cluster / Centre

Computer Science / High-Assurance Software

Scientific Advisor

João Marco