[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 …

[HTML][HTML] 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 …

[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 …

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 …

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 …

Ransomai: Ai-powered ransomware for stealthy encryption

J von der Assen, AH Celdrán… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Cybersecurity solutions have shown promising performance when detecting ransomware
samples that use fixed algorithms and encryption rates. However, due to the current …

Privacy-preserving and syscall-based intrusion detection system for IoT spectrum sensors affected by data falsification attacks

AH Celdrán, PMS Sánchez, C Feng… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Crowdsensing platforms collect, process, transmit, and analyze spectrum data worldwide to
optimize radio frequency spectrum usage. However, Internet of Things (IoT) spectrum …

[HTML][HTML] Integrating machine learning for sustaining cybersecurity in digital banks

M Asmar, A Tuqan - Heliyon, 2024 - cell.com
Cybersecurity continues to be an important concern for financial institutions given the
technology's rapid development and increasing adoption of digital services. Effective safety …