Hybrid Algorithm to Detect DDoS Attacks in VANETs
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Hybrid Algorithm to Detect DDoS Attacks in VANETs Kaushik Adhikary1 · Shashi Bhushan2 · Sunil Kumar3 · Kamlesh Dutta4
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Security and safety are fundamental issues in any wireless network. The problem becomes serious when the specified network is Vehicular Adhoc Network (VANET). VANET faces Distributed Denial of Service (DDoS) attacks, when several vehicles carry out various types of Denial of Service (DoS) attacks to disrupt the normal functioning of network, thereby endangering human lives. A highly efficient and reliable algorithm is required to be developed to detect and prevent DDoS attacks in VANET. This paper presents a hybrid detection algorithm based on the SVM kernel methods of AnovaDot and RBFDot for detecting DDoS attacks in VANETs. In this hybrid algorithm, features like collisions, packet drop, jitter etc. have been used to simulate real time network communication scenario where the network is operating under normal conditions, as well as under DDoS attacks. These features are used both for training and for testing the model based on the proposed hybrid algorithm. The performance of the model based on the proposed hybrid algorithm is compared with the models based on single SVM kernel algorithms AnovaDot and RBFDot based on Accuracy, Gini, KS, MER and H. The experimental results show that the model based on the proposed hybrid algorithm is superior to detect DDoS attacks as compared to the models based on single SVM kernel algorithms AnovaDot and RBFDot. The results also prove that by combining the the SVM kernel algorithms, an efficient and effective hybrid algorithm can be developed. Keywords VANETs · SVM kernels · Hybrid algorithm · DDoS attacks · DDoS attack detection · Machine learning
* Kaushik Adhikary [email protected] Shashi Bhushan [email protected] Sunil Kumar [email protected] Kamlesh Dutta [email protected] 1
I.K.G. Punjab Technical University, Kapurthala, Punjab, India
2
Chandigarh Engineering College, Landran, Punjab, India
3
Maharaja Agarsen University, Solan, Himachal Pradesh, India
4
National Institute of Technology, Hamirpur, Himachal Pradesh, India
13
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K. Adhikary et al.
1 Introduction The need for an Intelligent Transport System has been steadily increasing due to the rapid increase in the number of vehicles on the road every day. An increase in the number of vehicles on roads can lead to an increase in the number of accidents, prolonged traffic jams, the pace of infrastructure development, increased fuel consumption, environmental pollution, etc. A well-managed system is required to solve these problems. One of the possible solutions proposed by the researchers is the introduction of Vehicular Adhoc Networks (VANETs) [1]. VANETs belongs to the Adhoc Networks family, where vehicles are equipped with software and hardware to form a special network with other vehicles through their communication/transmission range [2]. The concept of VANET appeared in
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