Denial of Service in Sensor Networks

By Anthony D. Wood, J. Stankovic. Computer, 2002

1,988 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/021986edfa400362b26863a831c6e12441ef034c

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In Computer Networks and Communications

Citations in the corpus

Securing wireless sensor networks: a survey (2008, background): “They simply may introduce radio jamming interference into the same radio bands to disrupt communications between nodes [7].”
Cluster-head election using fuzzy logic for wireless sensor networks (2005, background): “Thus these networks can gather intelligence in battlefields, track enemy lines, monitor potentially harmful chemical and nuclear materials using neutron based detectors, and detect viruses, toxins using bio-sensor chips coated with antibodies to attract specific biological agents [10] [14].”
LEAP+: Efficient security mechanisms for large-scale distributed sensor networks (2006, background): “Some of the other related works on sensor network security include secure data aggregation [Hu and Evans 2003; Przydatek et al. 2003; Yang et al. 2006], preventing false data injection attacks [Ye et al. 2004; Zhu et al. 2004], detecting node replication attacks [Parno et al. 2005] and Sybil…”
The feasibility of launching and detecting jamming attacks in wireless networks (2005, methodology): “The reactive jammer that we used sent out a 20-byte long interference packet as soon as it detects activities on the channel, while the random jammer had t j = U[0,31] and t s = U[0,31].”
Security in wireless sensor networks: issues and challenges (2006, background): “[31] studies DoS attacks against different layers of sensor protocol stack.”
Security in wireless sensor networks (2004, positive): “Adversaries can severely limit the value of a wireless sensor network by denialof-service attacks [8].”
TinyPK: securing sensor networks with public key technology (2004, background): “We also have designed only limited protection against denial of service attacks [18].”
Location-based pairwise key establishments for static sensor networks (2003, background): “Wood and Stankovic identified a number of DOS attacks in sensor networks [19].”
DEEJAM: Defeating Energy-Efficient Jamming in IEEE 802.15.4-based Wireless Networks (2007, background): “Wood et al. described various denial-of-service attacks against WSN nodes, including jamming [13].”
Wireless Sensor Network Security: A Survey (2006, methodology): “For example, to protect against tampering with the sensors, one defense involves tamper-proofing the node’s physical package [82].”
An anti-jamming stochastic game for cognitive radio networks (2011, background): “Another type of jamming is to inject high interference power around the vicinity of a victim [21] [29], so that the signal to noise ratio (SNR) deteriorates heavily and no data can be received correctly.”
Efficient aggregation of encrypted data in wireless sensor networks (2005, background): “Most prior work has focused on ultra-efficient key management, authentication, routing and DoS resistance [1, 2, 3, 4].”
A novel user authentication and key agreement scheme for heterogeneous ad hoc wireless sensor networks, based on the Internet of Things notion (2014, background): “There are multiple types of DoS attacks, e.g. Jamming, Flooding, Tam-pering, Misdirection, etc. [44].”
A Comprehensive Study of Security of Internet-of-Things (2017, neutral): “Moreover, using self-destruction mechanisms provides an alternative approach to defend against physical attacks [98].”
Establishing pairwise keys in distributed sensor networks (2003, background): “Wood and Stankovic identified a number of DOS attacks in sensor networks [16].”