Home Network Security: Modelling Power Consumption to Detect and Prevent Attacks on Homenet Routers
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Home Network Security: Modelling Power Consumption to Detect and Prevent Attacks on Homenet Routers. / Silverajan, Bilhanan; Vajaranta, Markku; Kolehmainen, Antti.
Proceedings of the 11th Asia Joint Conference on Information Security (AsiaJCIS 2016), Fukuoka, Japan, August 4-5, 2016. IEEE, 2016. p. 9-16.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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TY - GEN
T1 - Home Network Security: Modelling Power Consumption to Detect and Prevent Attacks on Homenet Routers
AU - Silverajan, Bilhanan
AU - Vajaranta, Markku
AU - Kolehmainen, Antti
PY - 2016/8/4
Y1 - 2016/8/4
N2 - Future home networks are expected to become extremely sophisticated, yet only the most technically adept persons are equipped with skills to secure them. In this paper, we provide a novel solution to detect and prevent attacks on home routers based on anomalous power consumption. We developed a means of measuring power consumption that could be used in a wide variety of home networks, although our primary focus on is on profiling Homenet-based residential routers, specifically to detect attacks against homenet routing infrastructure. Several experimental results are presented when the infrastructure is exposed to various types of attacks, which show strong evidence of the feasibility of our approach.
AB - Future home networks are expected to become extremely sophisticated, yet only the most technically adept persons are equipped with skills to secure them. In this paper, we provide a novel solution to detect and prevent attacks on home routers based on anomalous power consumption. We developed a means of measuring power consumption that could be used in a wide variety of home networks, although our primary focus on is on profiling Homenet-based residential routers, specifically to detect attacks against homenet routing infrastructure. Several experimental results are presented when the infrastructure is exposed to various types of attacks, which show strong evidence of the feasibility of our approach.
U2 - 10.1109/AsiaJCIS.2016.10
DO - 10.1109/AsiaJCIS.2016.10
M3 - Conference contribution
SP - 9
EP - 16
BT - Proceedings of the 11th Asia Joint Conference on Information Security (AsiaJCIS 2016), Fukuoka, Japan, August 4-5, 2016
PB - IEEE
ER -