Visible to the public Machine Learning Based Novel Approach for Intrusion Detection and Prevention System: A Tool Based Verification

TitleMachine Learning Based Novel Approach for Intrusion Detection and Prevention System: A Tool Based Verification
Publication TypeConference Paper
Year of Publication2018
AuthorsChandre, Pankaj Ramchandra, Mahalle, Parikshit Narendra, Shinde, Gitanjali Rahul
Conference Name2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN)
Date Publishednov
Keywordsauthentication, AVISPA, AVISPA tool, composability, computer network security, cryptographic protocols, formal verification, HLPSL., industrial environments, Intrusion detection, intrusion prevention, learning (artificial intelligence), limited energy, machine learning, Metrics, military applications, minimum bandwidth, multiple techniques, network intrusion detection, power supply, prevention system, proactive intrusion prevention, Protocols, pubcrawl, Resiliency, Servers, Tools, unique features, Wireless Sensor Network, Wireless sensor networks, WSN
AbstractNow a day, Wireless Sensor Networks are widely used in military applications by its applications, it is extended to healthcare, industrial environments and many more. As we know that, there are some unique features of WSNs such as limited power supply, minimum bandwidth and limited energy. So, to secure traditional network, multiple techniques are available, but we can't use same techniques to secure WSNs. So to increase the overall security of WSNs, we required new ideas as well as new approaches. In general, intrusion prevention is the primary issue in WSNs and intrusion detection already reached to saturation. Thus, we need an efficient solution for proactive intrusion prevention towards WSNs. Thus, formal validation of protocols in WSN is an essential area of research. This research paper aims to formally verify as well as model some protocol used for intrusion detection using AVISPA tool and HLPSL language. In this research paper, the results of authentication and DoS attacks were detected is presented, but there is a need to prevent such type of attacks. In this research paper, a system is proposed in order to avoid intrusion using machine learning for the wireless sensor network. So, the proposed system will be used for intrusion prevention in a wireless sensor network.
Citation Keychandre_machine_2018