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@article{189866,
        author = {Dhanyatha M and Deeksha U and Chandana N R and Nitin jain and Prakruthi S B},
        title = {Honeypot-Based Network Security System for Attack Detection and Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {4687-4692},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189866},
        abstract = {Cyber-attacks are increasing fast in both the size and sophistication level, and they have become to a critical threat for current network infrastructure. Legacy security tools, for example firewalls and intrusion detection systems have limitations in being able to deeply scrutinize attacker behaviour. Honeypots are an efficient form of deception based defence, but work by luring attackers into supervised systems. This thesis proposed a network system of honeypot based security, which capable to x real-time attacks and mimic them. The system includes several honeypot sensors, automatic file-based threat intel processing, secure data storage and a user-interactive Flask web interface. Experimental results show improved attack visibility, reduced false positives, and enhanced situational awareness.},
        keywords = {},
        month = {January},
        }