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 networkcapacity and enabling low device complexity with low energy consumption to improve Quality ofService also a proper balance between data transmission and data integrity. Market Growth of WirelessNetwork System is expected at 62.8 million USD and is likely to grow at a CAGR at 17.5% toreach a valuation of 95.3 billion USD in 2024. Market grows significantly due to demand for networkinfrastructure and advancement in Artificial Intelligence (AI), Machine Learning (ML), and BigData Analytics. The economy focuses on developing communication between network devices forensuring secure communication using wireless systems. The nodes of network systems have limitedpower capacities where some batteries are chargeable or non-rechargeable by influencing the powerof network system we can increase the performance of the wireless network system. These systemsare generally susceptible to failures and attacks so it is necessary to impose stringent countermeasureson data integrity, data reliability, the transmission of data through network traffic in criticalinfrastructure. In this paper, we have proposed a model which is well suited for wireless networksystems and devices to identify, detect, categorize and respond to attacks which in turn will generatewarnings and alarms in case any malicious activity is observed. Implementing and deploying amodel to effectively respond to incidents, selecting response actions for ensuring better protection ofwireless network systems with the help of the AES encryption method. The system also integratesinto generating warning messages and alarms/alerts raising concerns upon detecting or identifyingany kind of intrusion.