Results 111 to 120 of about 2,945,918 (205)

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

A Practical Framework for Ransomware Detection and Mitigation Strategies

Ransomware attacks have emerged as one of the most significant cyber threats, particularly targeting financial organizations, with incidents rising from 48% in 2020 to 64% in 2023.
Chong, Lee Ying, Chong, Siew Chin, Siaw, Ze Yuan   +2 more
core   +1 more source

Ransomware Detection with Deep Neural Networks

Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022
Matan Davidian, Natalia Vanetik, Michael Kiperberg   +2 more
openaire   +1 more source

TL-RL-FusionNet: Reinforcement Learning-Guided Residual MLP with Fused CNN Embeddings for Efficient and Adaptive Ransomware Detection. [PDF]

Sensors (Basel)
Ferdous J, Islam R, Mahboubi A, Islam MZ.   +3 more
europepmc   +1 more source

The Ransomware Threat in the Digital Age: Current Issues

reservedIl ransomware rappresenta una delle minacce informatiche più insidiose del panorama contemporaneo, infliggendo danni finanziari e operativi significativi a individui, aziende e istituzioni governative in tutto il mondo.
LORENZATO, MARTA
core  

Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]

Sci Rep
Kirubavathi G, Padma Mayuri B, Pranathasree S, Alagappan R, Ajayan A, Ismael WM, Rehman AU.   +6 more
europepmc   +1 more source

An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning. [PDF]

Sensors (Basel)
Alqahtani A, Ohemeng MO, Sheldon FT.
europepmc   +1 more source

Neuro-evolutionary computing approach for an epidemic model of ransomware detection using morlet wavelet neural network with meta-heuristic optimization. [PDF]

Sci Rep
Khan ZUA, Mughal MA, Haq IU, Aslam MN, Dammak B, Ghallab A.   +5 more
europepmc   +1 more source

A novel technique for ransomware detection using image based dynamic features and transfer learning to address dataset limitations. [PDF]

Sci Rep
Ferdous J, Islam R, Mahboubi A, Islam MZ.   +3 more
europepmc   +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