Open Access
Subscription Access
Open Access
Subscription Access
Design of Intrusion Prevention System in Internet of Things Communication
Subscribe/Renew Journal
In this paper, we model a CAN bus controller for data communication in Internet of Things (IoT) Network. However, most communication taking place via CAN bus may prone to attack. Hence aligning security with Intrusion Prevention System (IPS) to detect and mitigate attacks are required. In this paper, we hence model a IPS system over CAN communication. The model uses logs of communication to get trained and detect the attacks in the network. The simulation is conducted in NS2.34 tool to test the efficacy of the CAN-IoT Model. The results show that the proposed method has higher detection rate than other methods.
Keywords
CAN Controller, Internet of Things, Intrusion Prevention System, Detection Rate
Subscription
Login to verify subscription
User
Font Size
Information
- Z. Liu, T. Tsuda and H. Watanabe, “Data Driven CyberPhysical System for Landslide Detection”, Mobile Networks and Applications, Vol. 24, No. 3, pp. 991-1002, 2019.
- N. Bibi, M.N. Majid, H. Dawood and P. Guo, “Automatic Parking Space Detection System”, Proceedings of International Conference on Multimedia and Image Processing, pp. 11-15, 2017.
- S. Aljawarneh, M. Aldwairi and M.B. Yassein, “AnomalyBased Intrusion Detection System through Feature Selection Analysis and Building Hybrid Efficient Model”, Journal of Computational Science, Vol. 25, pp. 152-160, 2018.
- Z. Li, C. Wang, C. Jiang and X. Li, “Multicast Capacity Scaling for Inhomogeneous Mobile Ad Hoc Networks”, Ad Hoc Networks, Vol. 11, No. 1, pp. 29-38, 2013.
- S. Zhou and L. Ying, “On Delay Constrained Multicast Capacity of Largescale Mobile Ad-Hoc Networks”, Proceedings of International Conference on Communications and Networks, pp. 1-7, 2010.
- J.P. Jeong, T. He and D.H.C. Du, “TMA: Trajectory-based Multicast Forwarding for Efficient Multicast Data Delivery in Vehicular Networks”, Computer Networks, Vol. 57, No. 13, pp. 662-672, 2013.
- X. Ge, J. Yang, H. Gharavi and Y. Sun, “Energy Efficiency Challenges of 5G Small Cell Networks”, IEEE Communications Magazine, Vol. 55, No. 5, pp. 184-191, 2017.
- Y. Arta and R. Kharisma, “Simulasi Implementasi Intrusion Prevention System (IPS) Pada Router Mikrotik”, IT Journal Research and Development, Vol. 3, No. 1, pp. 104-114, 2018.
- A.S. Alqahtani and M. Alquraish, “On Implementing a Powerful Intrusion Prevention System Focused on Big Data”, The Journal of Supercomputing, Vol. 77, No. 12, pp. 14039-14052, 2021.
- T. Prasetyo, “Pengamanan Jaringan Komputer Dengan Intrusion Prevention System (IPS) Berbasis Sms Gateway”, Journal Teknologi Pintar, Vol. 2, No. 6, pp. 1-12, 2022.
- A. Krishna, A. Lal and M. Hari, “Intrusion Detection and Prevention System using Deep Learning”, Proceedings of International Conference on Electronics and Sustainable Communication Systems, pp. 273-278, 2021.
- A. Dushimimana, T. Tao and R. Kindong, “Bi-Directional Recurrent Neural Network for Intrusion Detection System (IDS) in the Internet of Things (IoT)”, International Journal of Advanced Engineering Research and Science, Vol. 7, No. 3, pp. 524-539, 2020.
- H. Larijani, J. Ahmad and N. Mtetwa, “A Heuristic Intrusion Detection System for Internet-of-Things (IoT)”, Proceedings of International Conference on Intelligent Computing, pp. 86-98, 2019.
- T. Alves and T. Morris, “Embedding Encryption and Machine Learning Intrusion Prevention Systems on Programmable Logic Controllers”, IEEE Embedded Systems Letters, Vol. 10, No. 3, pp. 99-102, 2018.
- G. Xian, “Cyber Intrusion Prevention for Large-Scale Semi-Supervised Deep Learning based on Local and Non-Local Regularization”, IEEE Access, Vol. 8, pp. 55526-55539, 2020.
Abstract Views: 141
PDF Views: 1