Spline Based Intrusion Detection in Vehicular Ad Hoc Networks (VANET)

被引：1

作者：

Schmidt, David A. ^{[1
]}

Khan, Mohammad S. ^{[1
]}

Bennett, Brian T. ^{[1
]}

机构：

[1] East Tennessee State Univ, Dept Comp, Roy S Nicks Hall,365 Stout Dr, Johnson City, TN 37604 USA

来源：

2019 IEEE SOUTHEASTCON | 2019年

关键词：

Intrusion Detection; Spline; Vehicular Ad Hoc Networks; Machine Learning; Internet of Things; Internet of Vehicles;

D O I：

10.1109/southeastcon42311.2019.9020367

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Intrusion detection systems (IDSs) play a crucial role in the identification and mitigation for attacks on host systems. Of these systems, vehicular ad hoc networks (VANETs) are particularly difficult to protect due to the dynamic nature of their clients and their necessity for constant interaction with their respective cyber-physical systems. Currently, there is a need for a VANET-specific IDS that can satisfy these requirements. Spline function-based IDSs have shown to be effective in traditional network settings. By examining the various construction of splines and testing their robustness, the viability for a spline-based IDS can be determined.

引用

页数：5

共 9 条

[1] Cyber-Physical Attack-Resilient Wide-Area Monitoring, Protection, and Control for the Power Grid [J].