Titlebook: Advances in Security, Networks, and Internet of Things; Proceedings from SAM Kevin Daimi,Hamid R. Arabnia,Fernando G. Tinetti Conference pr

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Computational Science – ICCS 2022 that used a single feature to train. We compared how effective each feature was in detecting phishing URLs. Groups of features were also used to train models. Most models using only one feature yielded low accuracies, while models using more features showed better accuracies.

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Computational Science – ICCS 2022licious activities at the UL in the MCC environment. Preliminary investigations show that our approach will enhance the security of the UL in the MCC environment. Our future work will include the development and the evaluation of the proposed model across the various mobile platforms in the MCC environment.

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Cameron Robert McLeod,Michele Sasdelli, the performance of traditional machine learning algorithms and their variants, and the performance on miscellaneous datasets. This chapter aims to facilitate the research and development of novel liveness classification algorithms through a clear comparison of algorithm performance.

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Ewelina Cholodowicz,Przemyslaw Orlowskilnerable to Cai et al. fingerprinting attack, and what types of web services are most appropriate to detect using this attack. The results show that Open VPN is more vulnerable to this attack compared to the other VPNs in this study. The efficiency of the web traffic classification through VPN is al

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Lecture Notes in Computer Sciencework and achieves encouraging accuracy, demonstrating that even the simplest form of communication metadata (and thus the least privacy invasive) is a valuable resource for keeping track of the devices on our networks...

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Computational Science – ICCS 2023given education model is designed according to the National Institute of Standard and Technology (NIST), and the industry’s expectations regarding the knowledge, training, and skills that cybersecurity experts should possess.

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