Data-Driven Techniques and Security Issues in Wireless Networks
Mamoon M. Saeed, Elmustafa Sayed Ali, Rashid A. Saeed
Abstract
The data-Driven Technique is a method that employs real-world data to acquire insight into system behavior. It allows for the examination of small, simple systems as well as large complicated systems in order to determine whether they work as intended and as observed in simulation. Unpredictable interactions between algorithms from several protocol layers, interactions between many devices, and hardware-specific effects can all occur in wireless networks. These interactions can cause a disconnect between real-world and design-time performance. Data-driven strategies can assist in detecting and possibly correcting actual behavior. In wireless research, data-driven is becoming more popular. Network security has been an issue for as long as networks are vulnerable to attacks. Unfortunately, assaults and attack tactics are frequently updated to avoid being detected or replaced with entirely new ones. Therefore, the rise of wireless local area networks (WLANs) means that enterprise IT staff and IT security professionals face more threats and obstacles. Wireless security refers to the prevention of unauthorized access to or impairment of computers connected to wireless networks. This study aims to review some literature related to wireless network security in terms of attacks, threats, and vulnerabilities, as well as potential solutions to those problems.