Deep learning-powered malware detection in cyberspace: a contemporary review
A Redhu, P Choudhary, K Srinivasan, TK Das - Frontiers in Physics, 2024 - frontiersin.org
This article explores deep learning models in the field of malware detection in cyberspace,
aiming to provide insights into their relevance and contributions. The primary objective of the …
aiming to provide insights into their relevance and contributions. The primary objective of the …
DPUAUT: Secure Authentication Protocol with SmartNiC Integration for Trustworthy Communications in Intelligent Swarm Systems
Swarm devices are becoming increasingly prevalent in next-generation networks because
they can efficiently handle large-scale distributed computing tasks. The traditional cloud …
they can efficiently handle large-scale distributed computing tasks. The traditional cloud …
A novel model for malware propagation on wireless sensor networks.
ÁM Martín del Rey - Mathematical Biosciences and Engineering, 2024 - gredos.usal.es
[EN] The main goal of this work was to propose a novel mathematical model for malware
propagation on wireless sensor networks (WSN). Specifically, the proposed model was a …
propagation on wireless sensor networks (WSN). Specifically, the proposed model was a …
SRAM PUFs: A Study of Aging Impact and Potential Mitigation
This paper presents a study of the aging Impact on SRAM PUF and the potential mitigation.
Moreover, the natural variabilities in SRAM cells are harnessed by SRAM PUFs to create …
Moreover, the natural variabilities in SRAM cells are harnessed by SRAM PUFs to create …
A Novel Approach of Evasive Malware Analysis Through Binary Opcode and BERT
S Wang, B Xu - 2024 - researchsquare.com
This study addressed the growing challenge of evasive malware detection by introducing an
innovative approach that integrates binary opcode analysis with the advanced machine …
innovative approach that integrates binary opcode analysis with the advanced machine …