Rekeying-based Moving Target Defence Mechanism for Side-Channel Attacks

Vuppala, Satyanarayana; Mady, Alie El‐Din; Kuenzi, Adam

doi:10.1109/giots.2019.8766426

Cited by 4 publications

(1 citation statement)

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“…They also created real and fake sub-nets to carry real and fake data. Similarly, [20] proposed an MTD mechanism against side channel attacks. They presented a method to calculate the interval required for encryption re-keying after collecting a minimum number of trace leakages so as to reduce computation overhead.…”

Section: Mtd and Defensive Deception Techniques For Iotmentioning

confidence: 99%

Proactive Defense for Internet-of-Things: Integrating Moving Target Defense with Cyberdeception

Ge,

Cho,

Kim

et al. 2020

Preprint

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Resource constrained Internet-of-Things (IoT) devices are highly likely to be compromised by attackers because strong security protections may not be suitable to be deployed. This requires an alternative approach to protect vulnerable components in IoT networks. In this paper, we propose an integrated defense technique to achieve intrusion prevention by leveraging cyberdeception (i.e., a decoy system) and moving target defense (i.e., network topology shuffling). We verify the effectiveness and efficiency of our proposed technique analytically based on a graphical security model in a software defined networking (SDN)based IoT network. We develop four strategies (i.e., fixed/random and adaptive/hybrid) to address "when" to perform network topology shuffling and three strategies (i.e., genetic algorithm/decoy attack pathbased optimization/random) to address "how" to perform network topology shuffling on a decoy-populated IoT network, and analyze which strategy can best achieve a system goal such as prolonging the system lifetime, maximizing deception effectiveness, maximizing service availability, or minimizing defense cost. Our results demonstrate that a software defined IoT network running our intrusion prevention technique at the optimal parameter setting prolongs system lifetime, increases attack complexity of compromising critical nodes, and maintains superior service availability compared with a counterpart IoT network without running our intrusion prevention technique. Further, when given a single goal or a multi-objective goal (e.g., maximizing the system lifetime and service availability while minimizing the defense cost) as input, the best combination of "when" and "how" strategies is identified for executing our proposed technique under which the specified goal can be best achieved.

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Section: Mtd and Defensive Deception Techniques For Iotmentioning

confidence: 99%