A Survey paper on Understanding the Rise of AI-driven Cyber Crime and Strategies for Proactive Digital Defenders
G. Meghana, Shaik Saqlain Afroz, Rajesh Gurindapalli, Subhash Katari, Kolachana Swetha · 2024
As artificial intelligence (AI) continues to evolve, so too does its integration into cyber criminal activities, presenting a formidable challenge to digital security. These findings investigate the escalating nexus between AI and cybercrimes, highlighting the emergent dangers posed by AI-driven malicious activities. The study delves into the various ways in which AI technologies are leveraged by cyber criminals to orchestrate sophisticated attacks, incorporating, data breaches, malware propagation, phishing, and social engineering tactics. Furthermore, the methodologies propose proactive research strategies aimed at mitigating the threats posed by AI-facilitated cybercrimes through the lens of digital forensic techniques. By analyzing current trends in AI-driven cyber offenses and their repercussions on digital security frameworks, this research endeavors to elucidate the imperative for novel approaches in digital forensics. Such proactive strategies encompass the establishment of AI-powered forensic tools, the enhancement of detection and attribution methodologies, and the augmentation of cyber resilience through predictive analytics and preemptive measures. Through a comprehensive review of existing literature, case studies, and empirical data, paper analysis seeks to offer insights into the changing landscape of AI-facilitated cybercrimes and the critical importance of digital forensics in countering these threats. By Gaining a more comprehensive grasp of the combined effects or interactions between AI technologies and cyber criminality, this research endeavors to inform stakeholders in the realms of cybersecurity, law enforcement, and policy-making, thereby contributing to the progress or development in proactive measures aimed at safeguarding digital ecosystems against emerging threats.