The Sybil attack in sensor networks: analysis & defenses
By James Newsome, Elaine Shi, Dawn Song, Adrian Perrig. Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004, 2004
1,690 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/0c4d711f01659ab8aa1b49fad106bcee526efc56
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jean-Pierre Hubaux
- Peng Ning
- Jaydip Sen
- Adrian Perrig
- Donggang Liu
- Sencun Zhu
- Sushil Jajodia
- Sanjeev Setia
Citations in the corpus
- Robust statistical methods for securing wireless localization in sensor networks (2005, methodology): “In order to address the Sybil attack, one may employ entity verification techniques, such as radio resource testing or the verification of key sets, which were presented in [ 19 ].”
- A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “, a Sybil node, can claim legitimate identity in the IoT network and generate false routing information that can alter the correct forwarding rules of neighboring nodes [74].”
- Routing Attacks and Countermeasures in the RPL-Based Internet of Things (2013, background): “*e location of nodes or similar information could be stored either centralized in the 6BR or distributed throughout the network in a distributed hash table (DHT) [21].”
- SVELTE: Real-time intrusion detection in the Internet of Things (2013, background): “The location information of nodes will also help SVELTE to mitigate the sybil and CloneID attacks aimed to disrupt the routing information [35].”
- A Survey on Wireless Sensor Network Security (2009, background): “Newsome et al have described three orthogonal dimensions of the Sybil attack taxonomy [36].”
- Reputation-based framework for high integrity sensor networks (2004, background): “The testimonies to this are some recent works in literature that study the impact of malicious attacks on these networks [1, 2, 3 ]. There have been several proposals, all based on cryptography, to ensure secure communication on these resource constrained nodes such as SPINS[4], TinySec[5], INSENS[”
- Uncovering social network sybils in the wild (2011, background): “To date, researchers have demonstrated the efficacy of Sybil attacks against P2P systems [9], anonymous communication networks [1], and sensor networks [12].”
- The socialbot network: when bots socialize for fame and money (2011, background): “For example, an adversary can pollute the voting scheme of a trust and reputation system [35], subvert the routing and data replication services in a Distributed Hash Table (DHT) [68], or cripple many critical functions of a wireless sensor network such as routing, resource allocation, an misbehavio”
- Wireless Sensor Network Security: A Survey (2006, background): “Simply put, the Sybil attack is defined as a “malicious device illegitimately taking on multiple identities ”[54].”
- SybilGuard: Defending Against Sybil Attacks via Social Networks (2006, background): “Sybil attacks have also been studied for sensor networks [16].”
- An RSSI-based scheme for sybil attack detection in wireless sensor networks (2006, background): “Solutions [4], [10] that adopt key exchange to vouch identification severely effect the energy consumption due to distribution and piggybacking of randomly generated keys in messages.”
- Anatomy of Threats to the Internet of Things (2019, background): “4: Home Automation Device Setup single physical device [69].”
- SeRLoc: secure range-independent localization for wireless sensor networks (2004, methodology): “Threat model: In the sybil attack [21, 22 ] an attacker impersonates multiple network entities by assuming their identities.”
- Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, methodology): “If no transmission is detected on a channel, it indicates that the node assigned to that channel may not be a physical node [128].”
- A Secure Sharding Protocol For Open Blockchains (2016, background): “A malicious processor can thus simulate many virtual processors, thereby creating a large set of sybils [26, 27].”
- Sensor network security: a survey (2009, methodology): “in [15] establish taxonomy of the Sybil attacks (A Sybil attack occurs when a single node illegally claims multiple identities to other nodes in the network) by distinguishing different attack types and proposing several methods to identify these attacks, including radio resource testing, key valida”
- Security in Internet of Things: issues, challenges, taxonomy, and architecture (2017, background): “(a) Sybil attack Sybil Attack is the case of a malicious node takingmultiple identities [63,64].”
- A survey of security issues in wireless sensor networks (2006, background): “Previous discussions on DoS attacks in WSNs can be found in [3, 5, 26, 27 ].”