DOI:10.20894/IJCNES.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.217
Submission:Any Time
Publisher:IIR Groups
Language:English
Review Process:
Double Blinded
As the world becomes more digitally intercon- nected, the threat of cyberattacks continues to in- crease, putting individuals, organizations, and gov- ernments at risk. In recent years, the scale and so- phistication of cyberattacks have grown significantly, posing a significant challenge to traditional security methods. To mitigate this risk, developing a robust cyber resilience strategy has become critical. To address the evolving threat landscape, AI technology has emerged as a powerful tool for cy- bersecurity. AI can quickly analyze large amounts of data and detect patterns that traditional security methods may miss. By continuously learning and adapting to new threats, AI-based systems can pro- vide effective and valuable defense tools against mal- ware attacks, network intrusions, phishing and spam messages, privacy violations, and other security inci- dents. However, as with any technology, there are also challenges to consider. As cybercriminals continue to develop more sophisticated techniques, AI-based systems must be constantly updated to stay ahead of the game. Additionally, the use of AI in cyber- security raises ethical concerns around the potential misuse of such technology, highlighting the impor- tance of responsible use and regulation. Despite these challenges, the benefits of AI in cybersecurity cannot be ignored. With the ability to identify and respond to threats in real-time, AI technology provides a powerful defense against cy- berattacks, helping to ensure the safety and security of individuals and organizations in the digital age.
