Detection of intrusions and malware,...
DIMVA (Conference) (2025 :)

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  • Detection of intrusions and malware, and vulnerability assessment = 22nd International Conference, DIMVA 2025, Graz, Austria, July 9-11, 2025 : proceedings.. Part I /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Detection of intrusions and malware, and vulnerability assessment/ edited by Manuel Egele ... [et al.].
    Reminder of title: 22nd International Conference, DIMVA 2025, Graz, Austria, July 9-11, 2025 : proceedings.
    remainder title: DIMVA 2025
    other author: Egele, Manuel.
    corporate name: DIMVA (Conference)
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xv, 297 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Web Security. -- ScamFerret: Detecting Scam Websites Autonomously with Large Language Models. -- Domain Name Encryption Does Not Ensure Privacy: Website Fingerprinting Attack With Only a Few Samples Using Siamese Network. -- Making (Only) the Right Calls: Preventing Remote Code Execution Attacks in PHP Applications with Contextual, State-Sensitive System Call Filtering. -- Poster: Generating the WEB-IDS23 Dataset. -- Vulnerability Detection. -- Sourcerer: channeling the void. -- CodeGrafter: Unifying Source and Binary Graphs for Robust Vulnerability Detection. -- SyzFroge: An Automated System Call Specification Generation Process for Efficient Kernel Fuzzing. -- Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation. -- Side channels. -- Reverse-Engineering the Address Translation Caches. -- The HMB Timing Side Channel: Exploiting the SSD's Host Memory Buffer. -- Cohere+Reload: Re-enabling High-Resolution Cache Attacks on AMD SEV-SNP. -- Poster: Extracting Cryptographic Keys from Windows Live Processes. -- Obfuscation. -- Experimental Study of Binary Diffing Resilience on Obfuscated Programs. -- Quantifying and Mitigating the Impact of Obfuscations on Machine-Learning-Based Decompilation Improvement. -- Exploring the Potential of LLMs for Code Deobfuscation. -- Poster: All Right Then, (Don't) Keep Your Secrets: Exposing API Hashing in Malware.
    Contained By: Springer Nature eBook
    Subject: Intrusion detection systems (Computer security) - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-97620-9
    ISBN: 9783031976209
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W9519198 電子資源 11.線上閱覽_V 電子書 EB QA76.9.A25 D55 2025 一般使用(Normal) On shelf 0
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