AI-Driven Security Mechanisms for WLANs Networks: Streamlining, Performance and Reliability

Abstract

In this modern era of 21^st century of global village where Wireless ecosystem has been developed everywhere, human survival depends on WIFI connections. Wireless Local Area (WLANs) are part and parcel to exchange of data and communication among various locally used devices. Where the spread of WLANs is widespread all around, its availability also has make it susceptible to exploitation by fraudulent and malicious agents. But, now the invention of AI has brought security system for WLANs and establish for it highly precise, scalable, adaptable and protective mechanism. This research focuses on this transformation from general to AI oriented WLANs. It examines the capabilities of machines, learning models and detect the possible threats due to its unprecedented accuracy and velocity.  This research focuses and illuminate’s effectiveness of AI’s that how it sophisticatedly detects the levels of vulnerability by analyzing the different methods, real time data processing and self, autonomous data processing and decision making. The results and key findings highlights successful solutions for very effective and strong wireless defense system. As, IT anonymously detects, predict and analyze data, through its AI-power intrusion protocol system. This research concludes that integration of AI and WLANs security protocols, for example WEP and WAP3 provide full security fool proof framework. Finally, this research adds in the existing data by providing opportunities and challenging for integrating AI with WLANs networking streaming lining, reliability and performance.  That is AI’s function for WLANs ‘threat in functioning.  The research also suggests that companies and organizations using WLANs may secure their intranet connections, by providing security and protection themselves if they integrate AI with WLANs and may avoid cyber threats by applying AI-power solutions. Companies may improve their WLAN security posture and protect themselves from emerging cyber threats by implementing AI-powered solutions.