• Home
  • Privacy and Security

Firewalls, intrusion detection, privacy, etc.

Privacy and Security

Privacy and Security



Computer security has become a concern of everyone, and not just of the information and communications technology (ICT) community. Large-scale deployment of IoT hardware has considerable implications for security, both by generating vast new datasets that must be secured, and by providing new opportunities for hostile actors to attack systems via compromised IoT devices.


The proliferation of sensor data generated by the Internet of Things has considerable implications for individual privacy. Conversely, maximising the utility of this data requires aggregating it as input to machine learning algorithms and other processing. Reconciling these two conflicting requirements in the evolution of the Internet of Things will require novel mechanisms to manage data access and data ownership in a scalable and transparent way.

Selected Publications

•  S. Seufert and D. O'Brien, "Machine learning for automatic defence against distributed denial of service attacks", Proceedings of the 2007 IEEE international conference on communications, 2007.
•  D. O'Brien, "Teaching operating systems concepts with SystemTap", Proceedings of the 2017 ACM conference on innovation and technology in computer science education, 2017.
•  E. Aboud and D. O'Brien, "Detection of malicious VBA macros using machine learning methods", Proceedings of the 26th irish conference on artificial intelligence and cognitive science (AICS 2018), 2018.
•  P. Szczechowiak, L. Oliveira, M. Scott, M. Collier and R. Dahab, "NanoECC: Testing the limits of elliptic curve cryptography in sensor networks", European conference on wireless sensor networks, 2008.