Titlebook: Handbook of Big Data Analytics and Forensics; Kim-Kwang Raymond Choo,Ali Dehghantanha Book 2022 Springer Nature Switzerland AG 2022 cyber

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Mac OS X Malware Detection with Supervised Machine Learning Algorithms,ch more difficult respectively. The traditional approaches for dealing with malware detection are not efficient anymore which paves the way for the adoption of machine learning algorithms as a solution for this issue. Also, there is a significant rise in malware concerned with Mac OS X devices due t

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Mapping CKC Model Through NLP Modelling for APT Groups Reports,entify Advanced Persistent Threats (APT) groups for future risk mitigation by both business and government. Multiple vendors like McAfee and Kaspersky periodically release reports on these APT groups that are absorbed by the security analysts worldwide. These reports identify the Tactics, Techniques

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Ransomware Threat Detection: A Deep Learning Approach,ransomware have emerged which has created a need for classifying ransomware files into different types, or families. It is important for cybersecurity specialists to be able to identify what family of ransomware they are dealing with, so that they know how to best approach the problem. Machine learn

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Scalable Fair Clustering Algorithm for Internet of Things Malware Classification,g decisions. However, there are concerns about these systems being biased towards a certain population or group. The scalable fair clustering algorithm is one of the variants of the disparate notion of fairness to the clustering problem. It solves this problem by ensuring that each cluster has an ap

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Die Erythema multiforme-Gruppe,einforce the importance of designing cutting-edge big data analytics, cybersecurity and threat intelligence solutions. It is also important to acknowledge that no security solution is foolproof, and hence we need to have digital forensics and incident response/handling capabilities to help us to ans

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Antiarrhythmische Kardiochirurgie,ignificant number of enterprises are migrating to cloud-based environments to save costs and resources. This indicates that traditional approaches to confront cyber threats are not effective in the cloud environment. Considering the vast size and distributed nature of cloud computing systems, deep l

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https://doi.org/10.1007/978-3-662-10461-3. The APT groups are the nation-state actors or well-resourced groups that target to compromise and exploit individuals and public or private organizations. If the source of the malware can be identified at an early stage, then it will significantly help the cybersecurity specialists to know what th