Results 71 to 80 of about 2,768,658 (208)

Detecting Ransomware Through Dynamic API Call Monitoring and Machine Learning

Applied Sciences
Ransomware is malicious software that encrypts user files, rendering them inaccessible unless a ransom is paid to the attacker. Ransomware detection has been a challenge recently. In this paper, we present a comprehensive analysis of ransomware detection
Anas AlMajali, Waleed Dweik, Yahia Abdelghafur, Obada Alhasan, Omar Tawalbeh, Moustafa Amer   +5 more
doaj   +1 more source

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

Engineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa, Ahmad Taher Azar, Walid El‐Shafai   +2 more
wiley   +1 more source

MIRAD: A Method for Interpretable Ransomware Attack Detection

IEEE Access
In the face of escalating crypto-ransomware attacks, we introduce MIRAD, a novel dynamic detection method. MIRAD leverages machine learning to continuously monitor API calls and registry entries, detecting ransomware at all stages of infection while ...
Bartosz Marcinkowski, Maja Goschorska, Natalia Wilenska, Jakub Siuta, Tomasz Kajdanowicz   +4 more
doaj   +1 more source

Graph–Time IoT IDS: Requirement‐Aligned Impact Evaluation

Engineering Reports, Volume 8, Issue 7, July 2026.
A multi‐view intrusion detection framework (IMPACT‐MVG) combines temporal behavior modeling and graph‐based interaction analysis to detect IoT network attacks. Impact‐centric evaluation using the ICSec score shows that the approach reduces operational damage from intrusions while maintaining efficient, explainable, and privacy‐aware security monitoring.
Kumkum Dubey, Isha Batra, Abhishek Bajpai, Arun Malik, Mohammed Ali Alshara, Tariqullah Jan, Naveed Ahmad, Ruhul Amin Khalil   +7 more
wiley   +1 more source

Ransomware Detection Techniques: A Comparative Study [PDF]

openThis work compares different state of the art techniques for detecting ransomware, introducing a novel ransomware database to make confrontation ...
UMBRELLA, GIULIO
core  

Ransomware Detection Using Machine Learning: A Review, Research Limitations and Future Directions

IEEE Access
Ransomware attacks are on the rise in terms of both frequency and impact. The shift to remote work due to the COVID-19 pandemic has led more people to work online, prompting companies to adapt quickly.
Jamil Ispahany, Md. Rafiqul Islam, Md. Zahidul Islam, M. Arif Khan   +3 more
doaj   +1 more source

Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps

Journal of Corporate Accounting &Finance, Volume 37, Issue 3, Page 135-146, July 2026.
ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley   +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  

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

Ransomware Detection and Classification using Machine Learning [PDF]

, 2023
Vicious assaults, malware, and various ransomware pose a cybersecurity threat, causing considerable damage to computer structures, servers, and mobile and web apps across various industries and businesses.
Kunku, Kavitha, Roy, Kaushik, Zaman, ANK
core   +1 more source