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Titlebook: Ubiquitous Security; Third International Guojun Wang,Haozhe Wang,Weizhi Meng Conference proceedings 2024 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 19:09:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Ubiquitous Security
副標(biāo)題Third International
編輯Guojun Wang,Haozhe Wang,Weizhi Meng
視頻videohttp://file.papertrans.cn/941/940263/940263.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Ubiquitous Security; Third International  Guojun Wang,Haozhe Wang,Weizhi Meng Conference proceedings 2024 The Editor(s) (if applicable) and
描述This book constitutes the proceedings of the Third International Conference, UbiSec 2023, held in Exeter, UK, during November 1–3, 2023..The 29 full papers were carefully reviewed and selected from 91 submissions. They were organized in following topical sections: Cyberspace?Security, Cyberspace Privacy, Cyberspace Anonymity.?.
出版日期Conference proceedings 2024
關(guān)鍵詞Cybersecurity; Cyberspace Privacy; Cyberspace Anonymity; Data Exfiltration Detection; Digital Forensics;
版次1
doihttps://doi.org/10.1007/978-981-97-1274-8
isbn_softcover978-981-97-1273-1
isbn_ebook978-981-97-1274-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Langimitations. Furthermore, we summarize future defenses against these attacks. We also examine real-world techniques, including reported and our implemented attacks on LLMs, to consolidate our findings. Our research highlights the urgency of addressing security concerns and aims to enhance the underst
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Multi-NetDroid: Multi-layer Perceptron Neural Network for?Android Malware Detection four dense layers for training and classification of malware or benign applications and is evaluated as an improved classifier for Android malware detection. To evaluate our model performance we experimented with two separate datasets (Drebin-215 and Malgenome-15), and our model achieved 99.19% and
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