Results 41 to 50 of about 9,054 (204)

Retaliation against Ransomware in Cloud-Enabled PureOS System

Mathematics, 2023
Ransomware is malicious software that encrypts data before demanding payment to unlock them. The majority of ransomware variants use nearly identical command and control (C&C) servers but with minor upgrades.
Atef Ibrahim, Usman Tariq, Tariq Ahamed Ahanger, Bilal Tariq, Fayez Gebali   +4 more
doaj   +1 more source

Exploratory study on risk factors for ransomware attacks (full text only available in Dutch)

, 2022
Dit onderzoek heeft als doel het in kaart brengen en kwantificeren van factoren die ransomware-aanvallen beïnvloeden. Een tweede doelstelling is het bieden van inzicht in de mogelijkheden tot bewustwording onder bestuurders van middelgrote en kleine ...
Vos, A., Kats, J., Rieback, M., Brennenraedts, R., Jelicic, N., Jansen, R., Blom, T., Sambeek, N. van, Vorst, T. van der   +8 more
core   +1 more source

A fine-tuning of decision tree classifier for ransomware detection based on memory data [PDF]

International Journal of Data and Network Science
Ransomware has evolved into a pervasive and extremely disruptive cybersecurity threat, causing substantial operational and financial damage to individuals and businesses.
Mosleh M. Abualhaj, Mahran Al-Zyoud, Mohammad O. Hiari, Yousef Alrabanah, Mohammed Anbar, Amal Amer, Ali Al-Allawee   +6 more
doaj   +1 more source

E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches

Sensors, 2023
Nowadays, ransomware is considered one of the most critical cyber-malware categories. In recent years various malware detection and classification approaches have been proposed to analyze and explore malicious software precisely.
Iman Almomani, Aala Alkhayer, Walid El-Shafai   +2 more
doaj   +1 more source

On Deception-Based Protection Against Cryptographic Ransomware [PDF]

, 2019
peer reviewedIn order to detect malicious file system activity, some commercial and academic anti-ransomware solutions implement deception-based techniques, specifically by placing decoy files among user files.
Sgandurra, Daniele, GENÇ, Ziya Alper, Gabriele Lenzini, Lenzini, Gabriele, Alper Genç, Ziya, Ziya Alper Genç, Daniele Sgandurra   +6 more
core   +1 more source

Crypto-Ransomware Detection Through a Honeyfile-Based Approach with R-Locker

Mathematics
Ransomware is a group of malware that aims to make computing resources unavailable, demanding a ransom amount to return control back to users. Ransomware can be classified into two types: crypto-ransomware and locker ransomware. Crypto-ransomware employs
Xiang Fang, Eric Song, Cheng Ning, Huseyn Huseynov, Tarek Saadawi   +4 more
doaj   +1 more source

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier

Scientific Reports, 2022
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It’s Zero-day variants are even more hazardous, as less is known about them. In this regard, when used for ransomware attack detection, conventional machine
Umme Zahoora, Asifullah Khan, Muttukrishnan Rajarajan, Saddam Hussain Khan, Muhammad Asam, Tauseef Jamal   +5 more
doaj   +1 more source

Dynamics of Targeted Ransomware Negotiation

IEEE Access, 2022
In this paper, we consider how the development of targeted ransomware has affected the dynamics of ransomware negotiations to better understand how to respond to ransomware attacks.
Pierce Ryan, John Fokker, Sorcha Healy, Andreas Amann   +3 more
doaj   +1 more source

Ransomware through the lens of state crime: Conceptualizing ransomware groups as cyber proxies, pirates, and privateers

State Crime, 2023
Cybercrime and other cybersecurity harms are gaining increasing political and public attention across many countries. One of the most serious and fastest growing categories of such harms relates to ransomware attacks.
James Martin, Chad Whelan
doaj   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source