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An Adaptive Auto Incident Response based Security Framework for Wireless Network Systems
Abstract The growth of wireless network systems is expanding deploying techniques to drive more network capacity and enabling low device complexity with low energy consumption to improve Quality of Service also a proper balance between data transmission and data integrity. Market Growth of Wireless Network System is expected at 62.8 million USD and is likely to grow at a CAGR at 17.5\% to reach a valuation of 95.3 billion USD in 2024. Market grows significantly due to demand for network infrastructure and advancement in Artificial Intelligence (AI), Machine Learning (ML), and Big Data Analytics. The economy focuses on developing communication between network devices for ensuring secure communication using wireless systems. The nodes of network systems have limited power capacities where some batteries are chargeable or non-rechargeable by influencing the power of network system we can increase the performance of the wireless network system. These systems are generally susceptible to failures and attacks so it is necessary to impose stringent countermeasures on data integrity, data reliability, the transmission of data through network traffic in critical infrastructure. In this paper, we have proposed a model which is well suited for wireless network systems and devices to identify, detect, categorize and respond to attacks which in turn will generate warnings and alarms in case any malicious activity is observed. Implementing and deploying a model to effectively respond to incidents, selecting response actions for ensuring better protection of wireless network systems with the help of the AES encryption method. The system also integrates into generating warning messages and alarms/alerts raising concerns upon detecting or identifying any kind of intrusion. Keywords: Incident Response; Security Framework; Wireless Network System; Risk Management. Research Briefs on Information & Communication Technology Evolution (ReBICTE)
DOI: 10.22667/ReBiCTE.2021.08.15.004 |