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Using Artificial Intelligence for Intrusion Detection System

EasyChair Preprint no. 3955

5 pagesDate: July 27, 2020


Today in the field of Information and Technology everything is trying to be automated for reliability and better results. Nowadays information are critical aspects among every organizations. There are billions of users connected to the internet these days, all of them has some significant information which are confidential. The most important asset these days are the information related to the organization or users of that organization. There are various kinds of hackers who are trying to break into an organization’s system to gain access and retrieve all sensitive information which could compromise the network resulting great risk to the organization. In order to make a system secure, Intrusion Detection System (IDS) is the key component which will notify the organization if someone is trying to break into their system and also provides possible way to deal with it. There are various IDS approaches that are being used however, they are relatively ineffective. In order to make information system more secure Artificial Intelligence can play vital role. Artificial Intelligence will provide better result in Intrusion detection by using neural networks and fuzzy logic with network profiling. This literature review will try to point out the difference between the IDS without using AI and IDS with using AI and benefits of using AI in the field of IDS.

Keyphrases: Artificial Intelligence, Cyber Security, data privacy, Information Security, Intrusion Detection System

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Satish Khadka},
  title = {Using Artificial Intelligence for Intrusion Detection System},
  howpublished = {EasyChair Preprint no. 3955},

  year = {EasyChair, 2020}}
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