Results 31 to 40 of about 11,686 (201)
Behaviour Based Ransomware Detection
EPiC Series in Computing, 2019 Ransomware is an ever-increasing threat in the world of cyber security targeting vulnerable users and companies, but what is lacking is an easier way to group, and devise practical and easy solutions which every day users can utilise.In this paper we look at the different characteristics of ransomware, and present preventative techniques to tackle ...
Christopher Chew, Vimal Kumar
openaire +2 more sources
Enhancing File Entropy Analysis to Improve Machine Learning Detection Rate of Ransomware
IEEE Access, 2021 Cybersecurity is the biggest threat in the world. More and more people are used to storing personal data on a computer and transmitting it through the Internet. Cybersecurity will be an important issue that everyone continues to pay attention to.
Chia-Ming Hsu +4 more
doaj +1 more source
Ransomware and reputation [PDF]
, 2019 open access articleRansomware is a particular form of cyber-attack in which a victim loses access to either his electronic device or files unless he pays a ransom to criminals.
Anna Cartwright +8 more
core +2 more sources
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection
IEEE Access, 2022 Among the prevalent cyberattacks on Android devices, a ransomware attack is the most common and damaging. Although there are many solutions for detecting Android ransomware attacks, existing solutions have limited detection accuracy and high ...
Md. Sakir Hossain +7 more
doaj +1 more source
Ransomware in High-Risk Environments [PDF]
, 2016 In today’s modern world, cybercrime is skyrocketing globally, which impacts a variety of organizations and endpoint users. Hackers are using a multitude of approaches and tools, including ransomware threats, to take over targeted systems.
Aziz, Shallaw M
core +5 more sources
CryptoKnight:generating and modelling compiled cryptographic primitives [PDF]
, 2018 Cryptovirological augmentations present an immediate, incomparable threat. Over the last decade, the substantial proliferation of crypto-ransomware has had widespread consequences for consumers and organisations alike.
Bellekens, Xavier, Hill, Gregory
core +3 more sources
A Survey on Ransomware Malware and Ransomware Detection Techniques
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: is a kind of malignant programming (malware) that takes steps to distribute or hinders admittance to information or a PC framework, for the most part by scrambling it, until the casualty pays a payoff expense to the assailant. As a rule, the payoff request accompanies a cutoff time.
openaire +1 more source
Ransomware Detection using Process Memory
International Conference on Cyber Warfare and Security, 2022 Ransomware attacks have increased significantly in recent years, causing great destruction and damage to critical systems and business operations. Attackers are unfailingly finding innovative ways to bypass detection mechanisms, which encouraged the adoption of artificial intelligence.
Singh, Avinash +2 more
openaire +3 more sources
Crypto-Ransomware Detection Through a Honeyfile-Based Approach with R-Locker
MathematicsRansomware 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 +4 more
doaj +1 more source
Deep dive into ransomware threat hunting and intelligence at fog layer [PDF]
, 2018 Ransomware, a malware designed to encrypt data for ransom payments, is a potential threat to fog layer nodes as such nodes typically contain considerably amount of sensitive data.
Ahmadzadeh, M +6 more
core +1 more source