Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks
- Title
- Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks
- Description
- Lecture Notes in Networks and Systems Vol.863 LNNS pp.67-75
- Creator
- Anita E.A.M.; Jenefa J.; Vinodha D.; Lapina M.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207587838&doi=10.1007%2f978-3-031-72171-7_7&partnerID=40&md5=bc9f6af23ada3204cb2ae17e28319db6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207587838&doi=10.1007%2f978-3-031-72171-7_7&partnerID=40&md5=bc9f6af23ada3204cb2ae17e28319db6</a>
- Date
- 2024-01-01
Collection
Citation
Anita E.A.M.; Jenefa J.; Vinodha D.; Lapina M., “Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9443.