ADVANCED CYBERSECURITY FRAMEWORK USING AI AND BLOCK CHAIN

Authors

  • Srihitha Pappula Author
  • Shahid Akthar Author
  • Lingampet Bhanu Raj Author
  • Dr. M. Vadivukarassi Author

DOI:

https://doi.org/10.62647/

Keywords:

ArtificialIntelligence(AI), Blockchain, Cybersecurity, Threatdetection, Dataintegrity, Real-timeresponse, Machine learning(ML), Anomalydetection, Automatedresponse, Decentralization

Abstract

The integration of Artificial Intelligence (AI) and Blockchain technology has revolutionized cybersecurity by enhancing threat detection, data integrity, and real-time response mechanisms. AI-driven cybersecurity frameworks leverage machine learning models to detect anomalies, automate responses, and mitigate cyber threats with high accuracy. Blockchain ensures data immutability, decentralization, and secure transactions, preventing unauthorized access and fraud. Historically, cybersecurity frameworks relied on conventional rule-based systems, firewalls, and encryption techniques to safeguard digital assets. However, these methods struggled with evolving cyber threats, zero-day attacks, and sophisticated malware. Before AI advancements, intrusion detection systems (IDS), antivirus software, and access control mechanisms played a crucial role in mitigating risks, but they lacked adaptability and predictive capabilities. The increasing volume of cyberattacks, data breaches, and financial losses necessitates an intelligent and secure system. Cybercriminals continuously exploit vulnerabilities in centralized security models, making traditional defense mechanisms ineffective against modern threats. Machine learning models provide real-time threat intelligence, predictive analytics, and automated mitigation, significantly improving cybersecurity resilience. Blockchain strengthens security by decentralizing data storage, preventing tampering, and ensuring transparency. AI-powered security algorithms detect patterns, classify threats, and respond autonomously, reducing human intervention and response time. The proposed system integrates supervised and unsupervised learning techniques to identify potential attacks, coupled with smart contracts on a blockchain network for secure authentication and data integrity. This hybrid approach enhances cybersecurity by providing proactive threat detection, reducing false positives, and ensuring a tamper-proof security architecture. By leveraging AI and Blockchain, the framework addresses critical challenges in cybersecurity, offering a scalable, efficient, and robust solution against evolving cyber threats.

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Published

23-04-2025

How to Cite

ADVANCED CYBERSECURITY FRAMEWORK USING AI AND BLOCK CHAIN. (2025). International Journal of Information Technology and Computer Engineering, 13(2), 768-773. https://doi.org/10.62647/