Analysis of Cyber Related Issues by Implementing Data Mining Algorithm

Swapnita Srivastava, Shilpi Burman Sharma · 2019

Computer forensics has been developed from investigating small cyber attacks to exploring the complicated international cyber cases which have a tremendous impact on the organization. Even though organization knows the type of attacks but still it won't help them to take preventive measures across the attack unless they don't know the consequences of the attack or the area where the attack is going to affect the most. This paper has examined the various types of attacks and motives behind those attacks through a questionnaire which was randomly distributed to various participants working for any industry or organization. The result was analyzed through weka software to propose model which uses the consequences mining algorithm. Consequences Mining Algorithm will take the motive of attacks as input and will give its hidden and visible consequences as output. The proposed model is the combination of computer forensics investigation and data mining. Results from the model will help the organization to take proactive measures against the consequences of the attack.

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