Abstract | ||
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Vehicular Ad hoc NETworks (VANETs) serve as the backbone of Intelligent Transportation Systems (ITS), providing passengers with safety and comfort. However, VANETs are vulnerable to major threats that affect data privacy and network services either from an individual or distributed attacker. In this paper, a Secure and Private-Collaborative Intrusion Detection System (SP-CIDS) is proposed to detec... |
Year | DOI | Venue |
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2021 | 10.1109/TITS.2020.3036071 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Vehicular ad hoc networks,Security,Training data,Monitoring,Data models,Collaboration,Intrusion detection | Journal | 22 |
Issue | ISSN | Citations |
7 | 1524-9050 | 3 |
PageRank | References | Authors |
0.39 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gunasekaran Raja | 1 | 60 | 7.68 |
Sudha Anbalagan | 2 | 33 | 4.94 |
Geetha Vijayaraghavan | 3 | 11 | 1.22 |
Sudhakar Theerthagiri | 4 | 3 | 0.39 |
Saran Vaitangarukav Suryanarayan | 5 | 3 | 0.39 |
Xin-Wen Wu | 6 | 173 | 21.00 |