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Titlebook: Data Science in Cybersecurity and Cyberthreat Intelligence; Leslie F. Sikos,Kim-Kwang Raymond Choo Book 2020 Springer Nature Switzerland A

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A Logic Programming Approach to Predict Enterprise-Targeted Cyberattacks,ctively identifying and systematically understanding . and . those events are likely to occur is still challenging. It has earlier been shown that monitoring malicious hacker discussions about software vulnerabilities in the Dark web and Deep web platforms (D2web) is indicative of future cyberattack
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Discovering Malicious URLs Using Machine Learning Techniques,curity threats is further and further growing. In this chapter, we introduce an approach for identifying hidden security threats by using Uniform Resource Locators (URLs) as an example dataset, with a method that automatically detects malicious URLs by leveraging machine learning techniques. We demo
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Machine Learning and Big Data Processing for Cybersecurity Data Analysis,s for network attack and anomaly detection. The approach is characterized by several layers of data processing, including extraction and decomposition of datasets, compression of feature vectors, training, and classification. To reduce the dimension of the analyzed feature vectors, principal compone
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Systematic Analysis of Security Implementation for Internet of Health Things in Mobile Health Netwos smart phones and wearables that have been adopted for personal use in everyday life, has produced a demand for utilities that can assist people with achieving goals for a successful lifestyle, i.e., to live healthier and more productive lives. With continued research and development into technolog
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Mohamed Lahby,Ala Al-Fuqaha,Yassine Malehtrends identified from the context of hacker discussions across multiple hacker community websites. Our approach is evaluated on real-world, enterprise-targeted attack events of malicious emails. Compared to a baseline statistical prediction model, our approach provides better precision-recall trade
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Md. Jahanur Rahman,Md. Al Mehedi Hasannd majority voting. Two different architectures of the distributed intrusion detection system based on Big Data technologies are used. In the first, parallel data processing is achieved by splitting data into several non-intersecting subsets, and a separate parallel thread is assigned to each of the
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A Logic Programming Approach to Predict Enterprise-Targeted Cyberattacks,trends identified from the context of hacker discussions across multiple hacker community websites. Our approach is evaluated on real-world, enterprise-targeted attack events of malicious emails. Compared to a baseline statistical prediction model, our approach provides better precision-recall trade
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