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Titlebook: Network and System Security; 17th International C Shujun Li,Mark Manulis,Atsuko Miyaji Conference proceedings 2023 The Editor(s) (if applic

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书目名称Network and System Security
副标题17th International C
编辑Shujun Li,Mark Manulis,Atsuko Miyaji
视频videohttp://file.papertrans.cn/663/662889/662889.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Network and System Security; 17th International C Shujun Li,Mark Manulis,Atsuko Miyaji Conference proceedings 2023 The Editor(s) (if applic
描述This book constitutes the refereed proceedings of the 17th International Conference on Network and System Security, NSS 2023, held in Canterbury, UK, August 14–16, 2023..The 12 full and 9 short papers presented together with 2 invited talks in this book were carefully reviewed and selected from 64 submissions. They focus on Attacks and Malware, Blockchain, Security through Hardware, Machine learning and much more..
出版日期Conference proceedings 2023
关键词Network and System Security; Intrusion Detection and Prevention; Network Attacks and Defenses; Wireless
版次1
doihttps://doi.org/10.1007/978-3-031-39828-5
isbn_softcover978-3-031-39827-8
isbn_ebook978-3-031-39828-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Whitelisting for Characterizing and Monitoring Process Control Communicationarm broader segments of society. Although there is a growing body of anomaly detection approaches in this field, the homogeneous network traffic narrative that is supposed to justify their potential success is poorly proven. At the same time, more and more machine learning (ML) schemes have been dev
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Detection of Malware Using Self-Attention Mechanism and Stringsology have made it possible to consider the word order of sentences and use it for machine learning. Previous research has proposed a method for detecting unknown malware by applying natural language processing techniques to readable strings. This method detects unknown malware by applying natural l
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KDRM: Kernel Data Relocation Mechanism to Mitigate Privilege Escalation Attackddress layout randomization (KASLR) randomizes kernel code and data placement on the kernel memory section for attack mitigation. However, a privilege escalation attack will succeed because the kernel data of privilege information is identified during a user process execution in a running kernel. In
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The Effectiveness of Transformer-Based Models for BEC Attack Detectionon and cause financial damage to target firms. These attacks are difficult to detect using existing email security systems, as approximately 60% of BEC attacks do not include explicit indicators such as attachments and links. Even state-of-the-art solutions using Natural Language Processing (NLP) re
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Group Oriented Attribute-Based Encryption Scheme from Lattices with the Employment of Shamir’s Secreheme enables users from the same group to combine their attributes to satisfy a decryption policy without revealing their secret keys. GO-ABE is particularly useful when no single user can fulfill the decryption policy alone, but a group of users can satisfy it together. Li et al. introduced the ide
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