Attacks that Downturn the Performance of Wireless Networks

Amruth, V.; Kuriakose, Jeril; Lahori, Mudassira Tanheet B.; Shehanaz,; Sushanth, K J; Kumar, Arvind

doi:10.1109/iccubea.2015.218

Cited by 4 publications

(1 citation statement)

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“…A routing attack interferes with the routing process, by sending fake routing information. A sink node attack aims to interrupt/block data transmission between networks by compromising a sink device, while in a black hole attack, the compromised device establishes routing connections with other devices, and next discards received packets, thus leading to a packet loss event [44]. In a flooding attack, the malicious attacker aims at exhausting the resources of network servers through a distributed DoS attack.…”

Section: ) Network Layermentioning

confidence: 99%

A Distributed Multi-Agent Framework for Resilience Enhancement in Cyber-Physical Systems

2019

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Cyber-physical systems (CPSs) are nowadays an important component of most industrial infrastructures and materialize the integration of control systems with advanced information technologies. Commonly, they aggregate distinct communication platforms and networked devices or nodes with different capabilities and goals. The resulting increase in complexity has inevitably brought into playing new challenges, namely, on the physical world and cyber space. In these systems, the development and gaining of state awareness and how to deal with the inherent vulnerabilities of the overall system are essential and also challenging. In this paper, the problem of resilience enhancement in CPSs is addressed based on a hierarchical multi-agent framework that is implemented over a distributed middleware, in which each agent carries out specific tasks. Physical and cyber vulnerabilities are taken into account, and state and context awarenesses of the whole system are targeted. The proposed framework ensures a minimum level of acceptable performance in case of physical disturbances and malicious attacks, as demonstrated by experiments on an IPv6-based test-bed.

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Section: ) Network Layermentioning

confidence: 99%