Decentralized intrusion detection in wireless sensor networks

By Ana Paula R. da Silva, M. Martins, Bruno P. S. Rocha, Antonio Alfredo Ferreira Loureiro, L. B. Ruiz, H. Wong. Q2S and Security for Wireless and Mobile Networks, 2005

518 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/0686cd330dcd503b17d6696dc26c574b2adca735

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In Computer Networks and Communications

Citations in the corpus

Hierarchical trust management for wireless sensor networks and its application to trust-based routing (2011, background): “The trust value that node i evaluates towards node j at time t , (cid:1846) (cid:3036)(cid:3037) (cid:1872) , is represented as a real number in the range of [0 where 1 indicates 1 2 3 4”
A Survey on Security and Privacy Issues in Internet-of-Things (2017, methodology): “[29] proposed a decentralized intrusion detection system model for the WSN.”
Outlier Detection Techniques for Wireless Sensor Networks: A Survey (2008, background): “Outlier detection showing unusual records can indicate whether the patient has potential diseases and allow doctors to take effective medical care.”
A Comprehensive Study of Security of Internet-of-Things (2017, background): “Traditional IDS approaches [131]–[133] are usually customized for WSNs or for the traditional Internet.”
A Survey of Intrusion Detection Systems in Wireless Sensor Networks (2014, methodology): “[20] Distributed Rule based approach (interval rule) Scalable, robust and fast intrusion detection.”
WIRELESS SENSOR NETWORK (2014, unknown): “Most of the techniques in these schemes follow three main phases: data acquisition phase, rule application phase and intrusion detection phase (Silva et al., 2005) [25].”