The IoT is vulnerable to network attacks, and Intrusion Detection Systems (IDS) can provide high attack detection accuracy and are easily installed in IoT Servers. However, IDS are seldom evaluated in operational conditions which are seriously impaired by attack overload. Thus a Local Area Network testbed is used to evaluate the impact of UDP Flood Attacks on an IoT Server, whose first line of defence is an accurate IDS. We show that attacks overload the multi-core Server and paralyze its IDS. Thus a mitigation scheme that detects attacks rapidly, and drops packets within milli-seconds after the attack begins, is proposed and experimentally evaluated.
BT - The 48th IEEE Conference on Local Computer Networks CY - Daytona Beach, Florida, USA DO - https://doi.org/10.1109/LCN58197.2023.10223358 LA - eng N2 -The IoT is vulnerable to network attacks, and Intrusion Detection Systems (IDS) can provide high attack detection accuracy and are easily installed in IoT Servers. However, IDS are seldom evaluated in operational conditions which are seriously impaired by attack overload. Thus a Local Area Network testbed is used to evaluate the impact of UDP Flood Attacks on an IoT Server, whose first line of defence is an accurate IDS. We show that attacks overload the multi-core Server and paralyze its IDS. Thus a mitigation scheme that detects attacks rapidly, and drops packets within milli-seconds after the attack begins, is proposed and experimentally evaluated.
PB - IEEE PP - Daytona Beach, Florida, USA PY - 2023 T2 - The 48th IEEE Conference on Local Computer Networks TI - Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed UR - https://ieeexplore.ieee.org/document/10223358 ER -