Statistical en-route filtering of injected false data in sensor networks

By Fan Ye, Haiyun Luo, Songwu Lu, Lixia Zhang. IEEE INFOCOM 2004, 2004

834 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/5ab518a3ce5868a68580a71eec377b5306e964f1

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In Computer Networks and Communications

Citations in the corpus

Sensor network security: a survey (2009, methodology): “in [133] propose a statistical en-route filtering (SEF) mechanism to detect and drop false reports during the forwarding process.”
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, methodology): “[145] presented “statistical en-route filtering (SEF)” technique for detecting false information (data) injected in the WSN.”
Location-based compromise-tolerant security mechanisms for wireless sensor networks (2006, methodology): “In the following, we employ a similar model to that of [4] to analyze the energy savings caused by LTE.”
Securing wireless sensor networks: a survey (2008, background): “To counteract the attack, enroute filtering is proposed in [78, 139, 140], where the signatures carried by a report are verified by the nodes along the route from the data fusion node to the BS so that false reports can be filtered out before they arrive at the BS.”
Mobeyes: smart mobs for urban monitoring with a vehicular sensor network (2006, methodology): ““Static” sensor networks deal with this problem by using statistical methods and hop-by-hop authentication [29], [33], [37].”
Theory and Practice of Bloom Filters for Distributed Systems (2012, methodology): “The statistical en-rou te filtering approach [120] proposes a detection method based on a Bloom filter representation of the report generation (collection of keyed message authentications), that is ver ified probabilistically and dropped en-route in case of incorrec tn ss.”
Security in wireless sensor networks: issues and challenges (2006, background): “[33] presents a statistical en-route filtering (SEF) mechanism to detect injected false data in sensor network and focus mainly on how to filter false data using collective secret and thus preventing any single compromised node from breaking the entire system.”
SDAP: a secure hop-by-Hop data aggregation protocol for sensor networks (2006, background): “Several other works [24, 25, 26] had also proposed various so lutions to prevent false data injection attacks in sensor ne tworks.”