Year: 2025
Type: conference-paper
Abstract: Organisations are increasingly using artificial intelligence (AI) to strengthen their cybersecurity defences, especially against phishing attempts and intrusion detection, as cyber threats continue to change.A significant development in this field is represented by AIpowered supervised classifiers, which utilize vast amounts of data to enhance detection accuracy and response times.This study investigates the use of AI-driven supervised classifiers in big data settings, emphasising how well they can detect intrusions in real time and identify and mitigate phishing risks.This study investigates AI-based threat detection methods, assesses their efficacy in cybersecurity, and discusses the moral ramifications of AIpowered security solutions.Future cybersecurity frameworks can improve resilience against cyber threats and guarantee strong digital protection in a period of growing cyber hazards by combining AI with blockchain technology, quantum computing, and federated learning.
Authors: Jagriti Kumari, Khushi Kumari, Himanshu ., Ashutosh Sharma, Anjali Kumari, Shaffy .
Institution: Chandigarh University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411094200