IoTSys 2024 was a prestigious conference that brought together global experts in IoT systems, AI, and emerging technologies. It provided a platform for exchanging ideas and showcasing the latest advancements in these fields. Our team, consisting of Joao Tadeu Pereira Gollnick, Rajiv Ranjan and Devki Nandan Jha worked closely to develop an innovative solution addressing DDoS attacks in edge computing environments. The evaluation was conducted on a real-edge testbed, simulating various attack scenarios. Receiving the Best Paper Award reflects the recognition of the quality and impact of our research in the rapidly evolving IoT landscape.
Abstract: Edge computing has evolved as a decentralised technology for processing data closer to its source, thus reducing latency and improving bandwidth utilisation. However, this shift also introduces new security challenges, particularly Distributed Denial of Service (DDoS) attacks. As there are numerous components, the effect of an attack on one component can be cascaded to other components which can severely disrupt the application execution. To handle that, this paper presents DEFID, a framework for DDoS attack detection and filtering in the edge computing environment. DEFID utilises Extended Berkeley Packet Filter (eBPF) to detect and filter the DDoS attack. Since eBPF allows efficient execution of custom monitoring and filtering programs executing directly within the Linux kernel, it provides a lightweight, high-performance and flexible framework for real-time network traffic analysis. The effectiveness of DEFID is analysed using three separate attack programs, Goldeneye, SlowLoris and Tor’s Hammer Attack in a test environment which shows that the proposed solution is able to accurately detect and filter various types of DDoS attack traffic with minimal overhead
Best paper award at IoTSys 2024
IoTSys 2024 was a prestigious conference that brought together global experts in IoT systems, AI, and emerging technologies. It provided a platform for exchanging ideas and showcasing the latest advancements in these fields. Our team, consisting of Joao Tadeu Pereira Gollnick, Rajiv Ranjan and Devki Nandan Jha worked closely to develop an innovative solution addressing DDoS attacks in edge computing environments. The evaluation was conducted on a real-edge testbed, simulating various attack scenarios. Receiving the Best Paper Award reflects the recognition of the quality and impact of our research in the rapidly evolving IoT landscape.
Abstract: Edge computing has evolved as a decentralised technology for processing data closer to its source, thus reducing latency and improving bandwidth utilisation. However, this shift also introduces new security challenges, particularly Distributed Denial of Service (DDoS) attacks. As there are numerous components, the effect of an attack on one component can be cascaded to other components which can severely disrupt the application execution. To handle that, this paper presents DEFID, a framework for DDoS attack detection and filtering in the edge computing environment. DEFID utilises Extended Berkeley Packet Filter (eBPF) to detect and filter the DDoS attack. Since eBPF allows efficient execution of custom monitoring and filtering programs executing directly within the Linux kernel, it provides a lightweight, high-performance and flexible framework for real-time network traffic analysis. The effectiveness of DEFID is analysed using three separate attack programs, Goldeneye, SlowLoris and Tor’s Hammer Attack in a test environment which shows that the proposed solution is able to accurately detect and filter various types of DDoS attack traffic with minimal overhead
For more infomation visit: https://crowdos.cn/AIoTSys/2024/
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