Results 71 to 80 of about 2,253 (172)

Ransomware

, 2018
“Ransomware” is a type of malware that tries to extort money from its victims by hijacking the victim's computer in some way and holding it to ransom. It renders the computer unusable until a ransom amount is paid to the extortionist. And it is very unfortunate that, in many cases, even after the ransom is paid, the victim's computer is not released ...
  +5 more sources

Prevention of Crypto-Ransomware Using a Pre-Encryption Detection Algorithm

Computers, 2019
Ransomware is a relatively new type of intrusion attack, and is made with the objective of extorting a ransom from its victim. There are several types of ransomware attacks, but the present paper focuses only upon the crypto-ransomware, because it makes ...
S. H. Kok, Azween Abdullah, NZ Jhanjhi, Mahadevan Supramaniam   +3 more
doaj   +1 more source

Detecting Android Locker-Ransomware on Chinese Social Networks

IEEE Access, 2019
In recent years, an increasing amount of locker-ransomware has been posing a great threat to the Android platform as well as users' properties. Locker-ransomware blackmails victims for ransom by compulsorily locking the devices.
Dan Su, Jiqiang Liu, Xiaoyang Wang, Wei Wang   +3 more
doaj   +1 more source

A Survey of Ransomware Detection Methods

IEEE Access
Ransomware attacks continue to pose a significant challenge to cybersecurity, causing substantial financial and reputational damage to individuals and organizations. These attacks typically encrypt user data and demand a ransom for its release.
Saleh Alzahrani, Yang Xiao, Sultan Asiri, Jianying Zheng, Tieshan Li   +4 more
doaj   +1 more source

Machine learning-based ransomware classification of Bitcoin transactions

Journal of King Saud University: Computer and Information Sciences
Ransomware presents a significant threat to the security and integrity of cryptocurrency transactions. This research paper explores the intricacies of ransomware detection in cryptocurrency transactions using the Bitcoinheist dataset.
Omar Dib, Zhenghan Nan, Jinkua Liu
doaj   +1 more source

A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks

Mathematics
Ransomware is a type of malware that leverages encryption to execute its attacks. Its continuous evolution underscores its dynamic and ever-changing nature.
Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon   +7 more
doaj   +1 more source

Radar: a realistic dataset for advancing ransomware detection

Cybersecurity
Ransomware threats are growing in frequency and severity, posing significant challenges to cybersecurity defences. Machine learning (ML) has gained attention as a promising tool for detecting ransomware, but the lack of realistic ransomware datasets for ...
Jamil Ispahany, Oscar Blessed Deho, Md Rafiqul Islam, M. Arif Khan, Md Zahidul Islam   +4 more
doaj   +1 more source

SVM Ransomware Detection Using Machine Learning Algorithm

Buana Information Technology and Computer Sciences
With the advent and subsequent explosion of the internet, global connectivity has been achieved, and is on the rise. This provides a host of advantages such as connectivity and communication, information broadcast and transmission, amongst others.
Olaniyi Abiodun Ayeni, Ibitola Adejumo
doaj   +1 more source

Intelligent DDoS Attack Detection in Software-Defined Networks Using Explainable Machine Learning. [PDF]

Sensors (Basel)
Malik JA, Naz NS, Saleem M, Khan MA.
europepmc   +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