Spline Based Intrusion Detection in Vehicular Ad Hoc Networks (VANET)
- Resource Type
- Conference
- Authors
- Schmidt, David A.; Khan, Mohammad S.; Bennett, Brian T.
- Source
- 2019 SoutheastCon SoutheastCon, 2019. :1-5 Apr, 2019
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Splines (mathematics)
Vehicular ad hoc networks
Interpolation
Intrusion detection
Robustness
Cyber-physical systems
Complexity theory
Intrusion Detection
Spline
Vehicular Ad Hoc Networks
Machine Learning
Internet of Things
Internet of Vehicles
- Language
- ISSN
- 1558-058X
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.