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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64063
Volume:
10 |
5 |
May 2026
Pages:
1-2
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Master of computer application
Bapuji institute of engineering and technology 6
Master of computer application
Bapuji institute of engineering and technology 6
The rapid growth of digital technologies has significantly increased cyber threats across networks and organizations. Traditional security systems are unable to detect advanced and large-scale attacks effectively. Big Data analytics provides powerful tools to process massive volumes of security logs in real time. This paper proposes a next-generation cyber defense model using big data insights for proactive threat detection. Machine learning algorithms are integrated to improve accuracy and reduce false positives. The proposed system enhances security intelligence, scalability, and response efficiency.
KEYWORDS
Next-generation cyber defense using big data insights provides an intelligent and scalable solution to modern cyber threats. By combining distributed computing and machine learning, the system enhances real-time threat detection. It overcomes the limitations of traditional rule-based security systems. The proposed framework ensures better accuracy, faster response, and improved security management. Future work can focus on integrating AI-based predictive analytics and blockchain for enhanced security
1.Whitfield Diffie and Martin Hellman, “New Directions in Cryptography,” IEEE Transactions on Information Theory. 2.Matei Zaharia et al., “Apache Spark: A Unified Engine for Big Data Processing.” 3. National Institute of Standards and Technology (NIST), Cybersecurity Framework. 4. IEEE, Research Papers on Big Data Security Analytics
Publication Date
5/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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