Deceptive Attacks and Anomalies Detection Using Honeypot Enabled Networks
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


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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 7 Issue 5, May 2018 | Popularity: 6.4 / 10


     

Deceptive Attacks and Anomalies Detection Using Honeypot Enabled Networks

Nimitha Mary Mohan, Kalimuthu M


Abstract: In current world, interchanges innovations and leaps forward in data prompt an ever increasing number of gadgets of each possible sort being associated with the Internet. This likewise reinforces the requirement for guarantee against digital assaults. Any gadgets with a remote association could be powerless against harmful hacking attempts. Then, honey pot-based deception mechanism is one of the strategies to guarantee security for present day organizes in the Internet Things. In this paper, safeguarding against attacks in honey pot based systems is finished by taking a glance at a game theoretic model of deception including an attacker and a defender. The attacker may attempt to deceive the safeguard by utilizing diverse kinds of attacks running from a suspicious to an apparently ordinary action, while the defender thus can make utilization of honey pots as an instrument of misleading to trap attackers. .


Keywords: networks, security, honey pot, attacks


Edition: Volume 7 Issue 5, May 2018


Pages: 1672 - 1675



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Nimitha Mary Mohan, Kalimuthu M, "Deceptive Attacks and Anomalies Detection Using Honeypot Enabled Networks", International Journal of Science and Research (IJSR), Volume 7 Issue 5, May 2018, pp. 1672-1675, https://www.ijsr.net/getabstract.php?paperid=ART20182832, DOI: https://www.doi.org/10.21275/ART20182832

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