Visible to the public Using friendly jamming to improve route security and quality in ad hoc networks

TitleUsing friendly jamming to improve route security and quality in ad hoc networks
Publication TypeConference Paper
Year of Publication2017
AuthorsAdams, M., Bhargava, V. K.
Conference Name2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)
ISBN Number 978-1-5090-5538-8
KeywordsAd Hoc Network Security, Ad hoc networks, auxiliary variable, composability, connection outage probability, convex optimization problem, convex programming, COP, D2D network, eavesdroppers, friendly jamming, Human Behavior, human factors, Interference, jamming, machine-to-machine communication, Measurement, physical layer security technique, pubcrawl, Receivers, Resiliency, route security, Routing, secrecy outage probability, security, security metrics, security performance, service quality metrics, Signal to noise ratio, SOP, telecommunication network reliability, telecommunication network routing, telecommunication security, wireless area network
Abstract

Friendly jamming is a physical layer security technique that utilizes extra available nodes to jam any eavesdroppers. This paper considers the use of additional available nodes as friendly jammers in order to improve the security performance of a route through a wireless area network. One of the unresolved technical challenges is the combining of security metrics with typical service quality metrics. In this context, this paper considers the problem of routing through a D2D network while jointly minimizing the secrecy outage probability (SOP) and connection outage probability (COP), using friendly jamming to improve the SOP of each link. The jamming powers are determined to place nulls at friendly receivers while maximizing the power to eavesdroppers. Then the route metrics are derived, and the problem is framed as a convex optimization problem. We also consider that not all network users equally value SOP and COP, and so introduce an auxiliary variable to tune the optimization between the two metrics.

URLhttp://ieeexplore.ieee.org/document/7946684/?reload=true
DOI10.1109/CCECE.2017.7946684
Citation Keyadams_using_2017