Titlebook: Computer Security – ESORICS 2024; 29th European Sympos Joaquin Garcia-Alfaro,Rafał Kozik,Sokratis Katsika Conference proceedings 2024 The E

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Palash Dey,Arnab Maiti,Amatya Sharma Many security measures are evaluated against and thus restricted by the practical capability of ROP. However, the ROP automation state-of-the-art approaches have fundamental limitations in their gadget utilization and fall short of delivering the promise..To overcome these fundamental limitations,

Bumble

Frank Gurski,Dominique Komander,Carolin Rehs effective but may incur a significant performance overhead and require a substantial rewrite of the code. In this work, we study a secure cache-locking hardware mechanism which eases the writing of secure code and has little execution overhead. To reason about the security of software, we propose a

caldron

Frank Gurski,Dominique Komander,Carolin Rehsation vulnerability detection faces challenges such as path explosion caused by polymorphism [.] in Java, leading to incomplete analysis and inefficiency..In this paper, we present SerdeSniffer, a new Java deserialization vulnerability detection tool to address these challenges. SerdeSniffer is the

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Overthrow

Scale Invariant Community Detectioning data privacy from multiple sources. The innovative Homomorphic Binary Decision Tree (HBDT) method utilizes a modified Gini Impurity index (MGI) for node splitting in encrypted data scenarios. Notably, the proposed training approach operates in a single cloud security domain without the need for

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PageRank in Undirected Random Graphs To eliminate backdoor and overhead in a trusted setup, transparent setup in the discrete logarithm or pairing settings has received considerable attention in practice. Recent advances have improved the proof sizes and verification efficiency of linkable ring signatures with a transparent setup to a

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