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Opportunities

Intrusion Detection in future networks powered by machine learning with legal regulations compliance

  • ADVENTURE: Adaptive and Secure Network Applications over the Industrial Internet
  • Type: MSc
Abstract:

When monitoring and capturing the traffic in a network, several aspects must be considered to avoid an invasion of privacy and legal problems. The student should investigate the legal aspects of LGPD and GDPR when 5G and B5G traffic is monitored for use by Intrusion Detection Systems powered by machine learning mechanisms. This research will result in innovative monitoring and detection techniques oriented to future networks, considering the new technologies and the legal aspects.

Desired skills:

Security & Privacy, Linux, Computer Networks, Machine Learning.

Location:

São Paulo

Funding:

FAPESP

Advisor:

Daniel Macêdo Batista

Contact: batista@ime.usp.br

Monthly FAPESP scholarship:
First year: R$ 3.120,00
Second year: R$ 3.300,00
Plus 20% annually for research contingency funds
(Optionally) 1-Year Research Internship Abroad (BEPE) at a partner international institution.

Good References:

[1] GDPR
[2] LGPD
[3] GDPR Compliance in Cybersecurity Software: A Case Study of DPIA in Information Sharing Platform
[4] Implementing and evaluating a GDPR-compliant open-source SIEM solution

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