The age of ransomware: A survey on the evolution, taxonomy, and research directions
S Razaulla, C Fachkha, C Markarian… - IEEE …, 2023 - ieeexplore.ieee.org
The proliferation of ransomware has become a significant threat to cybersecurity in recent
years, causing significant financial, reputational, and operational damage to individuals and …
years, causing significant financial, reputational, and operational damage to individuals and …
[HTML][HTML] Cryptographic ransomware encryption detection: Survey
The ransomware threat has loomed over our digital life since 1989. Criminals use this type
of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant amounts …
of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant amounts …
Dwarf mongoose optimization with machine-learning-driven ransomware detection in internet of things environment
The internet of things (ransomware refers to a type of malware) is the concept of connecting
devices and objects of all types on the internet. IoT cybersecurity is the task of protecting …
devices and objects of all types on the internet. IoT cybersecurity is the task of protecting …
Ransomware attacks in the context of generative artificial intelligence—an experimental study
F Teichmann - International Cybersecurity Law Review, 2023 - Springer
Ransomware attacks continue to be one of the biggest risks faced by both organizations and
governments. In this experimental study, the author tested how criminals could use …
governments. In this experimental study, the author tested how criminals could use …
Ransomware Classification with Deep Neural Network and Bi-LSTM
Malicious attacks, malware, and ransomware families present essential risks to
cybersecurity and may result in significant harm to computer systems, data clusters …
cybersecurity and may result in significant harm to computer systems, data clusters …
Mapping the cybersecurity research: A scientometric analysis of Indian publications
In addition to physical treats, cyber-threats and crimes are on the rise, which necessitates a
greater focus on cybersecurity research. The goal of this study is to identify and characterize …
greater focus on cybersecurity research. The goal of this study is to identify and characterize …
Ransomware threat mitigation through network traffic analysis and machine learning techniques
A Mehrban, SK Geransayeh - arXiv preprint arXiv:2401.15285, 2024 - arxiv.org
In recent years, there has been a noticeable increase in cyberattacks using ransomware.
Attackers use this malicious software to break into networks and harm computer systems …
Attackers use this malicious software to break into networks and harm computer systems …
Optimal Deep Learning Based Ransomware Detection and Classification in the Internet of Things Environment.
With the advent of the Internet of Things (IoT), several devices like sensors nowadays can
interact and easily share information. But the IoT model is prone to security concerns as …
interact and easily share information. But the IoT model is prone to security concerns as …
Machine learning in automated detection of ransomware: Scope, benefits and challenges
V Thangapandian - Illumination of Artificial Intelligence in Cybersecurity …, 2022 - Springer
Background Ransomware is a special kind of malware which is rapidly blooming around the
world in different forms. In recent times, Ransomware plays havoc in individual and …
world in different forms. In recent times, Ransomware plays havoc in individual and …
Hybrid evolutionary approach in feature vector for ransomware detection
N Aljubory, BM Khammas - … , System and Service for Internet of …, 2021 - ieeexplore.ieee.org
Ransomware is one of the most serious threats which constitute a significant challenge in
the cybersecurity field. The cybercriminals use this attack to encrypts the victim's files or …
the cybersecurity field. The cybercriminals use this attack to encrypts the victim's files or …