Ketan Bhardwaj, Joaquin Chung Miranda, and Ada Gavrilovska, Georgia Institute of Technology
Application-level DDoS attacks mounted using compromised IoT devices are emerging as a critical problem. The application-level and seemingly legitimate nature of traffic in such attacks renders most existing solutions ineffective, and the sheer amount and distribution of the generated traffic make mitigation extremely costly. This paper proposes a new approach which leverages edge computing infrastructure to accelerate the detection and the arrest of such attacks, limiting their damaging impact. Our preliminary investigation shows promise for up to 10x faster detection that reduces up to 82% of the Internet traffic due to IoT-DDoS.
Open Access Media
USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.