Cyber Attack Prediction using Social Media, Open Data, and Deep Learning
📌 AI and Machine Learning in Cyber Security
Artificial Intelligence (AI) in Cyber Security Market
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Artificial Intelligence (AI) in Cyber Security in Cyber Security can provide an alternative to traditional cyber security solutions. Rather than counting on code signatures, machines can evaluate the behavior of the program and use machine learning to discover a match, where that behavior is predictive of malicious code. Artificial Intelligence (AI) in Cyber Security in Cyber Security is most effective as a tool when it has access to a large pool of data to study and analyze from, minimizing attack surfaces through predictive analytics. The volume of security alerts that appear daily can be very overwhelming for the security team. Automating threat identification and response supports lighten the load off of cyber security experts who have to deal with prioritizing cyber security-related concerns and can aid the detection of threats much more efficiently than other software-driven methods.
Cyber Attack Prediction using Social Data Analysis
In recent years, the use of AI in cybersecurity has gained popularity. We followed this trend and conducted a correlation analysis between the cyberattacks against companies and the activities on the internet related to them. We attempted to predict cyber-attacks by making good use of social media, open data, and deep learning.
The most common ways of cyber attack detection are signature scan and anomaly detection. By applying these approaches, we made some countermeasures only when a cyber-attack had already come. That means cyber defense systems encounter un-prepared cyber attacks, and our study focused on this problem.
We attempt to discover factors for cyber attack intention and opportunity. For the intention prediction, we used news articles. As a result, using Artificial Neural Networks and the context extracted from news articles brought better precision/recall.
We also used security vulnerability feeds (CVE) for the cyber attack opportunity prediction. The result was better when using the core keywords from the security vulnerability feeds as the feature and Artificial Neural Networks as the prediction algorithm.