Energy-based adaptation in simulations of survivability of ad hoc communication

Raciti, Massimiliano; Cucurull, Jordi; Nadjm‐Tehrani, Simin

doi:10.1109/wd.2011.6098216

Cited by 3 publications

(2 citation statements)

References 26 publications

(27 reference statements)

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“…Future work includes exploration of the adaptive component to dynamically influence the parameters of the components presented in this paper and to show how the system resilience is increased by adding the adaptive element. A starting point has been the adaptation of survivability depending on the energy levels of the device [34]. A further interesting direction to explore is the study of the impact of the mitigation actions, which contribute to a change in the behaviour of the network creating a recursive chain of alarms among the nodes.…”

Section: Discussionmentioning

confidence: 99%

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Surviving Attacks in Challenged Networks

Cucurull

Asplund

Nadjm‐Tehrani

et al. 2012

IEEE Trans. Dependable and Secure Comput.

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Abstract-In the event of a disaster, telecommunication infrastructures can be severely damaged or overloaded. Hastily formed networks can provide communication services in an ad hoc manner. These networks are challenging due to the chaotic context where intermittent connection is the norm and the identity and number of participants cannot be assumed. In such environments malicious actors may try to disrupt the communications to create more chaos for their own benefit. This paper proposes a general security framework for monitoring and reacting to disruptive attacks. It includes a collection of functions to detect anomalies, diagnose them, and perform mitigation. The measures are deployed in each node in a fully distributed fashion, but their collective impact is a significant resilience to attacks, so that the actors can disseminate information under adverse conditions. The approach has been evaluated in the context of a simulated disaster area network with a manycast dissemination protocol, Random Walk Gossip, with a store-and-forward mechanism. A challenging threat model where adversaries may attempt to reduce message dissemination or drain network resources without spending much of their own energy has been adopted.

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Section: Discussionmentioning

confidence: 99%

“…In this paper we have focused on the first three boxes and have used a systematic but manual version of the adaptation. Elsewhere, Raciti et al [34] describe a scheme for adaptation with respect to available energy in the handset.…”

Section: A Framework For Surviving Attacksmentioning

confidence: 99%