[HTML][HTML] Ransomware detection using machine learning: A survey

A Alraizza, A Algarni - Big Data and Cognitive Computing, 2023 - mdpi.com
Ransomware attacks pose significant security threats to personal and corporate data and
information. The owners of computer-based resources suffer from verification and privacy …

A comprehensive survey for IoT security datasets taxonomy, classification and machine learning mechanisms

C Alex, G Creado, W Almobaideen, OA Alghanam… - Computers & …, 2023 - Elsevier
This survey paper compares existing IoT related datasets found in the literature with three
main objectives. The first one is to highlight the characteristics of these datasets such as the …

[HTML][HTML] Securing smart healthcare cyber-physical systems against blackhole and greyhole attacks using a blockchain-enabled gini index framework

M Javed, N Tariq, M Ashraf, FA Khan, M Asim, M Imran - Sensors, 2023 - mdpi.com
The increasing reliance on cyber-physical systems (CPSs) in critical domains such as
healthcare, smart grids, and intelligent transportation systems necessitates robust security …

A fully privacy-preserving solution for anomaly detection in iot using federated learning and homomorphic encryption

M Arazzi, S Nicolazzo, A Nocera - Information Systems Frontiers, 2023 - Springer
Anomaly detection for the Internet of Things (IoT) is a very important topic in the context of
cyber-security. Indeed, as the pervasiveness of this technology is increasing, so is the …

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 …

Enhancing ev charging station security using a multi-dimensional dataset: Cicevse2024

ED Buedi, AA Ghorbani, S Dadkhah… - IFIP Annual Conference …, 2024 - Springer
The rapid adoption of electric vehicles (EVs) is fundamentally transforming the automotive
industry, prompting a surge in the installation of charging stations to accommodate the …

Device fingerprinting for cyber-physical systems: a survey

V Kumar, K Paul - ACM Computing Surveys, 2023 - dl.acm.org
The continued growth of the cyber-physical system (CPS) and Internet of Things
technologies raises device security and monitoring concerns. For device identification …

[HTML][HTML] Behavioral fingerprinting to detect ransomware in resource-constrained devices

AH Celdrán, PMS Sánchez, J Von der Assen… - Computers & …, 2023 - Elsevier
Abstract The Internet of Things (IoT), a network of interconnected devices, has grown and
gained traction over the last few years. This paradigm can impact our lives while also …

Transfer learning in pre-trained large language models for malware detection based on system calls

PMS Sánchez, AH Celdrán, G Bovet… - MILCOM 2024-2024 …, 2024 - ieeexplore.ieee.org
In the current cybersecurity landscape, protecting military devices such as communication
and battlefield management systems against sophisticated cyber attacks is crucial. Malware …

A comprehensive survey on hardware-assisted malware analysis and primitive techniques

EP Kumar, S Priyanka - Computer Networks, 2023 - Elsevier
Malware poses an extremely dangerous threat to the digital world, significantly impacting
various domains such as smart cities, intelligent transportation, wireless sensor networks …