Securing wireless sensor networks: a survey
By Yun Zhou, Yuguang Fang, Yanchao Zhang. IEEE Communications Surveys and Tutorials, 2008
426 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/9ca545e205d5da6fe668774ce9e4bc5be280fbab
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
- M. M. Afsar
- Mohammad-H. Tayarani-N.
- Ravi Sankar
- Jothi Prasanna Shanmuga Sundaram
- Tarik Taleb
- Marios Iliofotou
- K. Pelechrinis
- Wan Du
Citations in the corpus
- Denial of Service Attacks in Wireless Networks: The Case of Jammers (2011, background): “Work on attacks and on wireless networks in general and on countermeasures thereof are found in [62] [63] [64] [65] [66] [67].”
- Clustering in sensor networks: A literature survey (2014, background): “As mentioned in Zhou et al. (2008), clustering the nodes is an effective approach to make such networks more secure and faulttolerant .”
- A Survey on LoRa Networking: Research Problems, Current Solutions, and Open Issues (2019, background): “There are many security attacks like eavesdropping, selective forwarding and node impersonation [86].”
- A Survey of Intrusion Detection Systems in Wireless Sensor Networks (2014, background): “more on security in WSNs, may refer to [3], [4] and [5] for further information.”
- A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “Furthermore, remarkable efforts have been carried out over the past years for securing Wireless Sensors Networks [11], [12], [13] and Radio Frequency Identification (RFID) systems [14] [15].”
- Security Vulnerabilities In Wireless Sensor Networks: A Survey (2010, methodology): “Security in sensor networks is complicated by the constrained capabilities of sensor node hardware and the properties of the deployment [6],[4] and [10].”
- Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey (2021, background): “The experimental results show that, for a given signal-to-jamming ratio (SJR), a jammer with T ∈ [20, 40] is least destructive (yielding highest EVM), while a jammer with T ∈ [160, 200] is most destructive (yielding lowest EVM).”