International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 142

Research Paper | Computer Science & Engineering | India | Volume 7 Issue 5, May 2018


Web-based Honeypot Tool for Website Analysis

Prof. Manoj Dhande | Prashant Patil [3] | Supriya Mhashelkar | Avanti Patil | Shweta Jadhav


Abstract: Attacks on the internet keep on increasing and it causes harm to our security system. In order to minimize this threat, it is necessary to have a security system that has the ability to detect zero-day attacks. Honeypot is the proactive defense technology, in which resources placed in a network with the aim to observe and capture new attacks. This paper proposes a honeypot-based model for intrusion detection system (IDS) to obtain the best useful data about the attacker. Honeypots are a modern approach to network security. A honeypot is used in the area of internet security and cryptography. It is a resource, which is intended to be attacked and compromised to gain more information about the attacker and the used implementations. It can be deployed to attract and divert an attacker from their real targets. Honeypots have the big advantage that they do not generate false alerts as each observed traffic is doubtful, because no productive components are running on the system. This fact enables the system to log every byte that flows through the network through and from the honeypot, and to relate this data with other sources to draw a picture of an attack and the attacker.


Keywords: Methodologies, Honeyd, Spammers, Proxies, Knowledge


Edition: Volume 7 Issue 5, May 2018,


Pages: 243 - 245


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How to Cite this Article?

Prof. Manoj Dhande, Prashant Patil, Supriya Mhashelkar, Avanti Patil, Shweta Jadhav, "Web-based Honeypot Tool for Website Analysis", International Journal of Science and Research (IJSR), Volume 7 Issue 5, May 2018, pp. 243-245, https://www.ijsr.net/get_abstract.php?paper_id=ART20182116

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