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Data Mining Approach to Estimate the Association with Organized Cyber Attacks and National Security

Author(s):

Aayisha Beevi Syed Abdul , Cochin College of Engineering and Technology; Bhavya Bharath, Cochin College of Engineering and Technology

Keywords:

Crimeware, Crimeware-As-A-Service, Underground Economy, Hacking Community, Machine Learning and Organized Cybercrimes

Abstract

The cyber security solutions are built to handle the cyber threats that are raised from various sources. The cyber attacks make an impact on the national security through the economical damages. The crime-as-a-service (CaaS) is a criminal business model that underpins the cybercrime underground. The cybercrime underground economy is investigated by taking a data analytics approach from a design science perspective. The data mining approach is employed for analyzing the cybercrime underground. The CaaS and Crimeware are defined with different parameters. The associated classification model is built for the cyber attack and national security impact analysis process. The application model is developed with the classification scheme to evaluate the cyber attacks and its economical impact on the national security problems. The cybercrime underground economy is analyzed with large data set obtained from the online hacking community. The framework provides useful practical insights to practitioners by suggesting guidelines as to how governments and organizations in all industries can prepare for attacks by the cybercrime underground.

Other Details

Paper ID: IJSRDV7I10001
Published in: Volume : 7, Issue : 1
Publication Date: 01/04/2019
Page(s): 1797-1800

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