Results 41 to 50 of about 2,253 (172)

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

Ransomware: What Is Ransomware, and How to Prevent It

, 2023
This research paper answers the question, “What is Ransomware, and How to prevent it?”. This paper will discuss what ransomware is, its history about ransomware, how ransomware attacks Windows systems, how to prevent ransomware, how to handle ransomware once it is already on the network, ideas for training professionals to avoid ransomware, and how ...
openaire   +2 more sources

RansomFisher: Behavior-based ransomware detection without decoys

ICT Express
Ransomware remains a significant cyber threat for legacy and recent systems. This study revisits behavior-based detection and introduces RansomFisher, a novel decoyless ransomware detection system that monitors file access patterns.
InHoe Ku, Iljun Jeong, Seunghun Han
doaj   +1 more source

An Immunization Scheme for Ransomware [PDF]

Computers, Materials & Continua, 2020
In recent years, as the popularity of anonymous currencies such as Bitcoin has made the tracking of ransomware attackers more difficult, the amount of ransomware attacks against personal computers and enterprise production servers is increasing rapidly. The ransomware has a wide range of influence and spreads all over the world.
Song, Jingping, Meng, Qingyu, Luo, Chenke, Naik, Nitin, Xu, Jian   +4 more
openaire   +1 more source

A behavioural in‐depth analysis of ransomware infection

IET Information Security, 2021
Ransomware is a type of malware that has spread rapidly over the last 4 years, causing significant damage, especially in Windows environments. It is designed to encrypt or block victim's data, including documents, backups, and databases, unless a ransom ...
Yassine Lemmou, Jean‐Louis Lanet, El Mamoun Souidi   +2 more
doaj   +1 more source

Unveiling evasive ransomware and breaking through the predicament: a comprehensive review of evasion techniques and defense mechanisms

Cybersecurity
Ransomware has become one of the most destructive cyberattacks worldwide in recent years and has caused billions of dollars. Numerous defense mechanisms have been proposed to mitigate the ransomware threat.
Lingbo Zhao, Shuquan Wang, Yuhui Zhang, Rui Hou   +3 more
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook

Sensors, 2022
Recently, ransomware attacks have been among the major threats that target a wide range of Internet and mobile users throughout the world, especially critical cyber physical systems.
Abdullah Alqahtani, Frederick T. Sheldon
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

NAS ransomware: ransomware targeting NAS devices

Global Crime
The present study examines the impact of ransomware against Network Attached Storage (NAS) devices. NAS devices are external harddrives which are usually easily accessible through the internet. We analyse 502 ransomware attacks reported to the Dutch Police between 2019 and 2022, of which 104 (20.7%) targeted NAS devices.
Meurs, Tom, Hoheisel, Raphael, Junger, Marianne, Abhishta, Abhishta   +3 more
openaire   +2 more sources