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@article{201014,
        author = {Mr. P. Ganesh and Anbarasi M and Jayalakshmi L and Pavithira P},
        title = {AI-Driven Self-Healing and Energy-Efficient Software Defined Data Center Network for Ransomware Defense},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {172-178},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201014},
        abstract = {Ransomware attacks are one of the most serious cybersecurity threats affecting modern software-defined data center networks. These attacks encrypt critical data and demand ransom payments, leading to severe financial loss, operational downtime, and compromised data integrity. Traditional security mechanisms such as signature-based detection or rule-based monitoring struggle to detect new or evolving ransomware variants, especially zero-day attacks. This project proposes an AI-driven self-healing ransomware defense framework designed specifically for Software Defined Data Center Networks (SDDCN). The system uses deep learning techniques, particularly a GRU-based model (RanNet), to analyze system call sequences and detect suspicious behaviors associated with ransomware attacks in real time. Once ransomware activity is detected, the system immediately activates a self-healing mechanism. This mechanism encrypts important files using AES-CTR encryption with dynamic key rotation and securely uploads the encrypted files to cloud storage. This ensures that even if local files are compromised, a secure backup remains available for recovery. Additionally, the system deploys decoy honey files that attract ransomware processes away from real data. Any interaction with these decoy files triggers alerts and containment actions. By combining AI detection, encrypted backup, and deception techniques, the system significantly improves resilience and ensures data protection in modern data center environments.},
        keywords = {AI Security, Ransomware Detection, Self-Healing Systems, GRU Deep Learning, Software Defined Data Center Network, Honey files, Cloud Backup, Cybersecurity.},
        month = {May},
        }