Titlebook: Illumination of Artificial Intelligence in Cybersecurity and Forensics; Sanjay Misra,Chamundeswari Arumugam Book 2022 The Editor(s) (if ap

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An Integrated IDS Using ICA-Based Feature Selection and SVM Classification Method,odel outperforms them in terms of accuracy, sensitivity, detection rate (DR) false alarm, and specificity. IDS may be used to secure wireless payment systems. It is possible to establish secure integrated network management that is error-free, therefore boosting performance.

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A Binary Firefly Algorithm Based Feature Selection Method on High Dimensional Intrusion Detection DFurthermore, most of the proposed machine learning intrusion detection system suffered from low detection accuracy and high false positive rate when the models are experimented on high dimensional dataset. The aim of this paper is to propose a binary firefly algorithm (BFFA) based feature selection

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Graphical Based Authentication Method Combined with City Block Distance for Electronic Payment Systure was found as an important task for text matching, image processing, and retrieval of images from the database. To achieve optimal performance of the system and make it robust, an experiment was conducted during the login session using the city block distance and other different distance measures

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Machine Learning in Automated Detection of Ransomware: Scope, Benefits and Challenges,in the implementation of detection models. . Many detection models that are developed with high accuracy have been discussed. Out of them, most of the models employ Machine Learning techniques for detection of ransomware as it facilitates automated detection. The proportion of the count (37.5%) of M

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the nuclei 19F and 15N, subvolume III/35C contains the nucleus 1H, subvolume III/35D contains the nucleus 13C, subvolume III/35E contains the nucleus 17O, and subvolume III/35G contains the nucleus 77Se. More nuclei will be presented later..978-3-540-40892-5Series ISSN 1615-1844 Series E-ISSN 1616-9522

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