Distributed detection of node replication attacks in sensor networks

By Bryan Parno, Adrian Perrig, Virgil D. Gligor. IEEE Symposium on Security and Privacy, 2005

836 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/98a98e62d5144c6e80ae9afb70ef077227637406

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In Computer Networks and Communications

Citations in the corpus

Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, methodology): “aggregation, misbehavior detection, and voting protocols by injecting false data or suppressing legitimate data [76].”
Secure and resilient distributed machine learning under adversarial environments (2015, background): “An adversary can launch a number of cyber attacks, such as node capture [7] or replication attack [8], to compromise and take over nodes in the network.”
Securing wireless sensor networks: a survey (2008, background): “Distributed detection of the node replication attack was proposed in [118], where each node is assumed to know its location, and it is required to send its location to a set of witness nodes.”
SybilGuard: Defending Against Sybil Attacks via Social Networks (2006, background): “A sybil-related attack in sensor networks is the node replication attack [18], where a single compromised sensor is replicated indefinitely, by loading the node’s cryptographic information into multiple generic sensor nodes.”
A Survey on Wireless Sensor Network Security (2009, background): “Parno, Perrig and Gligor have proposed a mechanism for distributed detection of node replication attacks in WSNs [56].”
Security and Cooperation in Wireless Networks (2007, methodology): “In particular, we would like to express our gratitude to Tansu Alpcan, David Basin, Jean Bolot, Daniel Figueiredo, Virgil Gligor, Matthias Grossglauser, Markus Jakobsson, Phil Janson, Frank Kargl, Edward Knightly, P. R. Kumar, Jean-Yves Le Boudec, Li Erran Li, Peter Marbach, James Massey, Cristina N”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “Furthermore, the replicated node can also enable the attacker to obtain security privileges, such as extracting cryptographic shared keys [60], and to revoke authorized nodes by carrying out node revocation mechanisms [61].”
Sensor network security: a survey (2009, background): “Randomized Multicast distributes node location information to randomly-selected witnesses, exploiting the birthday paradox to detect replicated nodes, while Line-Selected Multicast uses the topology of the network to detect replication nodes.”
Implications of radio fingerprinting on the security of sensor networks (2007, methodology): “However, in multi-hop networks, nodes can be compromised, replicated [31] and/or can collude through mutually sharing their authentication material.”
A Comprehensive Study of Security of Internet-of-Things (2017, background): “Moreover, node replicas may revoke authorized nodes by executing node-revocation protocols [43], [45].”
Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations (2019, neutral): “Intrusion Detection Behavior-based [152]–[156]”
Wireless Sensor Network Security: A Survey (2006, background): “Any node that receives a conflicting or duplicated claim revokes the conflicting nodes [63].”
A Survey of Internet of Things (IoT) Authentication Schemes (2019, background): “Catching a node empowers an adversary not only to get tightly of cryptographic keys and protocol states, but also to clone and redistribute malicious nodes in the network, which affects the security of the entire network [32,33].”