Titlebook: Information and Communication Technology and Applications; Third International Sanjay Misra,Bilkisu Muhammad-Bello Conference proceedings

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Rytis Maskeliunas,Andrius Lauraitis,Robertas Damasevicius,Sanjay Misracy concerns due to their strong inference potential. In this work, we propose TUL-STEO, a novel deep learning approach, based on a combination of pretraining and fine-tuning, for performing a Trajectory-User Linking (TUL) attack (also called user re-identification attack). More precisely, TUL-STEO c

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Aliyu Mustapha,Abdullahi Kutiriko Abubakar,Haruna Dokoro Ahmed,Abdulkadir Mohammedore energy efficient than proof-of-work but are also well-studied and widely accepted within the community. However, PoS systems are susceptible to a particularly powerful “l(fā)ong-range" attack, where an adversary can corrupt the validator set retroactively and present forked versions of the blockchai

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Ananya Misrat poisoning attacks is plagued with confusion due to the proliferation of research that makes different assumptions about the capabilities of adversaries and the adversary models they operate under. Our work aims to clarify this confusion by presenting a comprehensive analysis of the various poisoni

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Isabona Joseph,Ojuh O. Divinen be read, edited, and manipulated by adversaries using either the officially provided readable text format or some advanced binary analysis tools. Reverse engineering of Wasm binaries is often used for nefarious intentions, e.g., identifying and exploiting both classic and Wasm-specific vulnerabili

dominant

Sujata Panda,Hima Bindu Maringantilnerabilities, the binary prediction outcomes offer limited support for accurate debugging and pinpointing vulnerabilities across different types. Additionally, the prevalent use of homogeneous GNN training has constrained the ability to effectively model the diverse relationships existing between c

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Akshat Agrawal,Anurag Jain 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,