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IJSTR >> Volume 9 - Issue 2, February 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Novel Method Of Cyber Threat Detection Using Feature Extraction

[Full Text]

 

AUTHOR(S)

Soumya.T.R, S. Revathy

 

KEYWORDS

Threat event detection, Feature extraction, Cyber threat event

 

ABSTRACT

Cyber threat event detection is the method that ensures safety of the public when there is occurrence of serious events. Social media is a platform used for the purpose of social wellness, utilized as an information source for the hackers. Twitter-one of the social media is a web application of micro blogging type has become popular serving several hundred million users. Detection of real world cyber threat event that threatens the social security and safety or causes interruption to the social order is made possible by the exploitation of user generated data, which is a rich source of data. In this paper, threat event is detected by the two types of feature extraction namely temporal feature and textual feature. Based on the features extracted, investigation of the cyber threat event is performed over time. Firstly, identification of the cyber threat event is done regardless of the user’s influence. Secondly, the temporal feature plays an important role in the detection of the threat event therefore cannot be ignored. Thirdly, the overall performance of the detection of cyber threat event is improved using the textual features. This approach is a novel method for the detection of the cyber threat event for the real world data from social media.

 

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