Abstract
Nowadays, systems around the world face many cyber attacks every day. These attacks consist of numerous steps that may occur over an extended period of time. We can learn from them and use this knowledge to create tools to predict and prevent the attacks. In this paper, we introduce a way to sort cyber attacks in stages, which can help with the detection of each stage of cyber attacks. In this way, we can detect the earlier stages of the attack. We propose a solution using Bayesian network algorithms to predict how the attacks proceed. We can use this information for more effective defense against cyber threats.
Highlights
Due to the constant development of cyber threats, various defense solutions need to be continuously improved
The idea of this paper came from the research made by Ramaki et al [8]
The issues within that paper are presented as well as the modified approach that was developed in order to avoid those problems
Summary
Due to the constant development of cyber threats, various defense solutions need to be continuously improved. In addition to developing prevention systems, it is necessary to focus on detection systems that help to obtain information about threats and attacks. It is necessary to examine how they proceed and what steps are being taken. These data can be used to continually improve the systems to detect each phase of the attack. In this way, it is possible to detect the earlier stages of the attacks and predict how they proceed
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