Results 91 to 100 of about 1,349 (172)

Analysis and detection of ransomware

, 2019
This phD thesis takes a look atransomware, presents an autonomous malwareanalysis platform and proposes countermeasure against these types of attacks. Our countermeasures are real-time and are deployed on a machine(i.e., end-hosts). In 2013, the ransomware become a hot subject of discussion again, before becomingone of the biggest cyberthreats ...
openaire   +1 more source

Lightweight Crypto-Ransomware Detection in Android Based on Reactive Honeyfile Monitoring. [PDF]

Sensors (Basel)
Gómez-Hernández JA, García-Teodoro P.
europepmc   +1 more source

Ransomware Detection And Prevention

International Journal of Computer Sciences and Engineering, 2018
Annu ., Monika Poriye, Vinod Kumar
openaire   +1 more source

Ransomware attacks and cybersecurity concerns in modern hospitals: vulnerabilities and impacts on trauma centers and patient care. [PDF]

Trauma Surg Acute Care Open
Martin MJ, Patel PP, Egodage T.
europepmc   +1 more source

Two-Tier heuristic search for ransomware-as-a-service based cyberattack défense analysis using explainable Bayesian deep learning model. [PDF]

Sci Rep
Almuflih AS.
europepmc   +1 more source

V-CHIMERA: An Immune-Inspired Verified Framework for Organizational Cyber Crisis Response Under Misinformation. [PDF]

Biomimetics (Basel)
Alghamdi F, Alqithami S.
europepmc   +1 more source

Cybersecurity is imperative in robotic arthroplasty. [PDF]

SICOT J
Bagaria V, Vaishya R, Vaish A, Lustig S.
europepmc   +1 more source

Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure. [PDF]

Sci Rep
Kumar B, Gupta SK, Dwivedi R, Alsekai DM, AbdElminaam DS, Kilickaya O.   +5 more
europepmc   +1 more source

A method for forensic-ready intrusion detection using explainable learning, prediction-aware graph modeling, and counterfactual analysis. [PDF]

MethodsX
Guizani S, Xavier S, Ajayan A, Alalwan AI, Hamam H.   +4 more
europepmc   +1 more source

Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]

Sensors (Basel)
Maghanaki M, Keramati S, Chen FF, Shahin M.   +3 more
europepmc   +1 more source