Cyber-attacks are exponentially increasing daily with the advancements of technology. Therefore, the detection and prediction of cyber-attacks are very important for every organization that is dealing with sensitive data for business purposes. In this paper, we present a framework on cyber security using a data mining technique to predict cyber-attacks that can be helpful to take proper interventions to reduce the cyber-attacks. The two main components of the framework are the detection and prediction of cyber-attacks. The framework first extracts the patterns related to cyber-attacks from historical data using a J48 decision tree algorithm and then builds a prediction model to predict the future cyber-attacks. We then apply the framework on publicly available cyber security datasets provided by the Canadian Institute of Cybersecurity. In the datasets, several kinds of cyber-attacks are presented including DDoS, Port Scan, Bot, Brute force, SQL Injection, and Heartbleed. The proposed framework correctly detects the cyber-attacks and provides the patterns related to cyber-attacks. The overall accuracy of the proposed prediction model to detect cyber-attacks is around 99%. The extracted patterns of the prediction model on historical data can be applied to predict any future cyber-attacks. The experimental results of the prediction model indicate the superiority of the model to detect any future cyber-attacks.
Original languageEnglish
Title of host publication2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
Place of PublicationKristiansand, Norway
PublisherIEEE Xplore
Number of pages6
ISBN (Electronic)9781728151694
ISBN (Print)9781728151700
Publication statusPublished - 09 Nov 2020
Event15th IEEE Conference on Industrial Electronics and Applications : ICIEA 2020 - Radisson Blu Caledonien Hotel, Kristiansand, Norway
Duration: 09 Nov 202013 Nov 2020
http://www.ieeeiciea.org/2020/wp-content/uploads/2020/01/CFP_ICIEA2020.pdf (Call for papers)
http://www.ieeeiciea.org/2020/download/iciea2020-programbook-insidetextpage.pdf (Program and abstracts)
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9248094 (front matter)
https://ieeexplore.ieee.org/xpl/conhome/9248065/proceeding (proceedings)


Conference15th IEEE Conference on Industrial Electronics and Applications
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