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Resilient IT: Winning With People and Process

Information Systems Journal, Volume 36, Issue 5, Page 771-786, September 2026.
ABSTRACT In today's dynamic environment, IT organisations face numerous challenges from disruptions such as natural disasters, cybersecurity threats, international conflicts, evolving regulations, pandemics and recent global incidents such as the CrowdStrike outage.
Wesam Helou, Michele Heath, Raymond Henry   +2 more
wiley   +1 more source

Ransomware : a system centric detection approach

, 2017
There are three approaches taken to analyze defenses against ransomware: signature based patterns, similar to virus detection; observing execution behavior, such as deleting a large number of files and changing file types; and a data-centric method ...
Cromis, Brian R.
core  

Earlier Decision on Detection of Ransomware Identification: A Comprehensive Systematic Literature Review

Information
Cybersecurity is normally defined as protecting systems against all kinds of cyberattacks; however, due to the rapid and permanent expansion of technology and digital transformation, the threats are also increasing. One of those new threats is ransomware,
Latifa Albshaier, Seetah Almarri, M. M. Hafizur Rahman   +2 more
doaj   +1 more source

Ransomware detection with Machine Learning algorithms using file segments and statistics [PDF]

openThe growing danger posed by ransomware has been a significant concern for both the public and private sectors. The emergence of new strains of this malware has outpaced the development of effective defense mechanisms.
MIOTTO, EMANUELE
core  

Visualizing Portable Executable Headers for Ransomware Detection: A Deep Learning-Based Approach [PDF]

Journal of Universal Computer Science
In recent years, the rapid evolution of ransomware has led to the development of numerous techniques designed to evade traditional malware detection methods.
Tien Quang Dam, Nghia Thinh Nguyen, Trung Viet Le, Tran Duc Le, Sylvestre Uwizeyemungu, Thang Le-Dinh   +5 more
doaj   +3 more sources

Ransomware Early Detection Techniques

Ransomware has become a significant threat to individuals and organizations worldwide, causing substantial financial losses and disruptions. Early detection of ransomware is crucial to mitigate its impact.
Alshammari, Ahmad Badi, Darem, Abdul Basit, Darem, Laith A., Sheatah, Huda K., Alhashmi, Asma A., Effghi, Rachid   +5 more
core   +1 more source

A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware

Future Internet
Ransomware, a significant cybersecurity threat, encrypts files and causes substantial damage, making early detection crucial yet challenging. This paper introduces a novel multi-phase framework for early ransomware detection, designed to enhance accuracy
Mazen Gazzan, Bader Alobaywi, Mohammed Almutairi, Frederick T. Sheldon   +3 more
doaj   +1 more source

eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance

Sensors
Early detection of ransomware attacks is critical for minimizing the potential damage caused by these malicious attacks. Feature selection plays a significant role in the development of an efficient and accurate ransomware early detection model.
Abdullah Alqahtani, Frederick T. Sheldon
doaj   +1 more source

VoterChoice: A ransomware detection honeypot with multiple voting framework

, 2020
VoterChoice: A ransomware detection honeypot with multiple voting ...
Sutharshan Rajasegarar (13095816), C Keong Ng (15788885), Lei Pan (13101435), Leo Zhang (13080966), Frank Jiang (13070274)   +4 more
core  

Android Ransomware Detection Using Supervised Machine Learning Techniques Based on Traffic Analysis. [PDF]

Sensors (Basel), 2023
Albin Ahmed A, Shaahid A, Alnasser F, Alfaddagh S, Binagag S, Alqahtani D.   +5 more
europepmc   +1 more source