%0 Conference Proceedings
%T A Hybrid Threat Detection and Security Adaptation System for Industrial Wireless Sensor Networks
%+ Département Intelligence Ambiante et Systèmes Interactifs (DIASI (CEA, LIST))
%A Bahria, Mohammed
%A Olivereau, Alexis
%A Boudguiga, Aymen
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 7th International Workshop on Self-Organizing Systems (IWSOS)
%C Palma de Mallorca, Spain
%Y David Hutchison
%Y Takeo Kanade
%Y Madhu Sudan
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Moshe Y. Vardi
%Y Gerhard Weikum
%Y Wilfried Elmenreich
%Y Falko Dressler
%Y Vittorio Loreto
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%Y Bernhard Steffen
%I Springer
%3 Self-Organizing Systems
%V LNCS-8221
%P 157-162
%8 2013-05-09
%D 2013
%R 10.1007/978-3-642-54140-7_15
%K Threat detection
%K sensor network
%K security adaptation
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Wireless Sensor Networks (WSNs) led the way to new forms of communications, which extend today the Internet paradigm to unforeseen boundaries. The legacy industry, however, is slower to adopt this technology, mainly for security reasons. Self-managed security systems allowing a quicker detection of and better resilience to attacks, may counterbalance this reluctance. We propose in this paper a hybrid threat detection and security adaptation system, designed to run on top of industrial WSNs. We explain why this system is suitable for architectures mainly composed of constrained or sleeping devices, while being able to achieve a fair level of autonomous security.
%G English
%Z TC 6
%2 https://inria.hal.science/hal-01291513/document
%2 https://inria.hal.science/hal-01291513/file/978-3-642-54140-7_15_Chapter.pdf
%L hal-01291513
%U https://inria.hal.science/hal-01291513
%~ CEA
%~ IFIP-LNCS
%~ IFIP
%~ DRT
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-LNCS-8221
%~ LIST
%~ GS-SPORT-HUMAN-MOVEMENT