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Titlebook: Research in Attacks, Intrusions, and Defenses; 21st International S Michael Bailey,Thorsten Holz,Sotiris Ioannidis Conference proceedings 2

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發(fā)表于 2025-3-21 18:25:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Research in Attacks, Intrusions, and Defenses
副標(biāo)題21st International S
編輯Michael Bailey,Thorsten Holz,Sotiris Ioannidis
視頻videohttp://file.papertrans.cn/828/827938/827938.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Research in Attacks, Intrusions, and Defenses; 21st International S Michael Bailey,Thorsten Holz,Sotiris Ioannidis Conference proceedings 2
描述.This book constitutes the refereed proceedings of the 21st??International Symposium on Research in Attacks, Intrusions, and Defenses, RAID 2018, held in Heraklion, Crete, Greece, in September 2018..The 32 revised full papers were carefully reviewed and selected from 145 submissions. They are organized in the following topical sections: attacks; intrusion detection and prevention; DDoS attacks; passwords, accounts, and users; machine learning for computer security; hardware-assisted security; software security; malware; IoT/CPS security; security measurements; and defenses..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; computer crime; computer networks; computer operating systems; cryptography; dat
版次1
doihttps://doi.org/10.1007/978-3-030-00470-5
isbn_softcover978-3-030-00469-9
isbn_ebook978-3-030-00470-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviewspps. Taken together, the apps reported as problematic have over 3 billion installations worldwide. We manually validate a random sample of 50 apps and estimate that our fully automated analysis achieves a precision of 81% at a recall of 89%.
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發(fā)表于 2025-3-22 03:05:42 | 只看該作者
Backdoors: Definition, Deniability and Detectionkdoors, and one, more complex backdoor from the literature, and, in doing so, provides a means to reason about how they can be detected and their deniability. Further, we demonstrate how our framework can be used to decompose backdoor detection methodologies, which serves as a basis for developing f
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RWGuard: A Real-Time Detection System Against Cryptographic Ransomwaree to detect crypto-ransomware . on a user’s machine by (1) deploying decoy techniques, (2) carefully monitoring both the running processes and the file system for malicious activities, and (3) omitting benign file changes from being flagged through the learning of users’ encryption behavior. We eval
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Proof-of-Blackouts? How Proof-of-Work Cryptocurrencies Could Affect Power Gridsy the ongoing centralization of mining hardware in large mining pools. Therefore, we investigate power consumption characteristics of miners, consult mining pool data, and analyze the amount of total power consumption as well as its worldwide distribution of two major cryptocurrencies, namely . and
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Dictionary Extraction and Detection of Algorithmically Generated Domain Names in Passive DNS Trafficse engineering to extract dictionaries. Our experimental results on data from known Dictionary-AGDs show that our method can extract dictionary information that is embedded in the malware code even when the number of DGA domains is much smaller than that of legitimate domains, or when multiple dicti
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Sergio Pastrana,Alice Hutchings,Andrew Caines,Paula Buttery
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