Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 20th International C Daniel Gruss,Federico Maggi,Michele Carminati Confe

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Rheumatologische Grundlagenforschunged with multiple entities, such as mobile apps and the cloud. Recent research has shown that . vulnerabilities, which allow violations of authority between different entities, are occuring in IoT systems. Because such vulnerabilities can be exploited without violating static control flow and data fl

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Rheumatologische Grundlagenforschungon pointer hijacking. We present ., an open-source tool that implements and automates the discovery of global function pointers in exported library functions and their call sites. Then, it determines the constraints that need to be satisfied to reach those pointers. Our approach manages naive built-

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/269222.jpg

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Detection of Intrusions and Malware, and Vulnerability Assessment978-3-031-35504-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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: Exploiting Power Reporting Interface for Side-Channel Attacks on AMD SEV However, TEEs are still exposed to various side-channel vulnerabilities, such as execution order-based, timing-based, and power-based vulnerabilities. While recent hardware is applying various techniques to mitigate order-based and timing-based side-channel vulnerabilities, power-based side-channel

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: Instrumentation-Based Adversarial Attacks on Machine Learning Malware Detectionty with existing software. However, the popularity of . has also led to its exploitation for malicious purposes, such as cryptojacking, where malicious actors use a victim’s computing resources to mine cryptocurrencies without their consent. To counteract this threat, machine learning-based detectio

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Honey, I Chunked the Passwords: Generating Semantic Honeywords Resistant to Targeted Attacks Using Pre difficult to distinguish from real passwords. Although the generation of honeywords has been widely investigated in the past, the majority of existing research assumes attackers have no knowledge of the users. These honeyword generating techniques (HGTs) may utterly fail if attackers exploit user