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Intrusion Detection Using Honeypots

Authors: Neeraj Bhagat; Bhavna Arora;

Intrusion Detection Using Honeypots

Abstract

Security of network becomes primary importance of every organization to protect it from any kind of cyber attack. For this, the analysis of traffic that travels in the network is an imperative task. Traffic analysis on network is done by installing various network intrusion detection (NID) devices. One of a very vital device for detecting network intrusions is a Honeypot. Honeypots interact with the attacker and collect the data which can be analyzed to retrieve information regarding the attacks and attacker in the network. Honeypots are security resources that are targeted by the attacker and generate data logs of the attacks. Honeypots provide relevant data in a small quantity so that security researchers could easily understand and the analysis of the data becomes feasible. In this paper honeypot is simulated to interact with attackers and the data collected by using honeypot is analyzed using various tools.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average