Results 1 to 10 of about 2,095 (154)

Utilizing Cyber Threat Hunting Techniques to Find Ransomware Attacks: A Survey of the State of the Art

open access: yesIEEE Access, 2022
Ransomware is one of the most harmful types of cyber attacks that cause major concerns on a global scale. It makes the victims’ resources unusable by encrypting data or locking systems to extort ransom payments.
Fatimah Aldauiji   +2 more
doaj   +1 more source

A Method for Neutralizing Entropy Measurement-Based Ransomware Detection Technologies Using Encoding Algorithms

open access: yesEntropy, 2022
Ransomware consists of malicious codes that restrict users from accessing their own files while demanding a ransom payment. Since the advent of ransomware, new and variant ransomwares have caused critical damage around the world, thus prompting the study
Jaehyuk Lee, Kyungroul Lee
doaj   +1 more source

A Multi-Tier Streaming Analytics Model of 0-Day Ransomware Detection Using Machine Learning

open access: yesApplied Sciences, 2020
Desktop and portable platform-based information systems become the most tempting target of crypto and locker ransomware attacks during the last decades.
Hiba Zuhair, Ali Selamat, Ondrej Krejcar
doaj   +1 more source

Analysis of Crypto-Ransomware Using Network Traffic

open access: yesJournal of Information Security and Cybercrimes Research, 2022
Ransomware is a form of malware attack that makes use of encryption to make information inaccessible for the motive of gathering a specified amount of payment.
Otasowie Owolafe, Aderonke F. Thompson
doaj   +1 more source

Ransomware Early Detection Method Based on Deep Learning [PDF]

open access: yesJisuanji kexue, 2023
In recent years,ransomware is becoming increasingly prevalent,causing serious economic losses.Since files encrypted by ransomware are difficult to recover,how to timely and accurately detect ransomware is a hot point nowadays.To improve the timeliness ...
LIU Wenjing, GUO Chun, SHEN Guowei, XIE Bo, LYU Xiaodan
doaj   +1 more source

The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions

open access: yesIEEE Access, 2023
The proliferation of ransomware has become a significant threat to cybersecurity in recent years, causing significant financial, reputational, and operational damage to individuals and organizations. This paper aims to provide a comprehensive overview of
Salwa Razaulla   +6 more
doaj   +1 more source

Hybrid-Based Analysis Impact on Ransomware Detection for Android Systems

open access: yesApplied Sciences, 2021
Android ransomware is one of the most threatening attacks that is increasing at an alarming rate. Ransomware attacks usually target Android users by either locking their devices or encrypting their data files and then requesting them to pay money to ...
Rana Almohaini   +2 more
doaj   +1 more source

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

open access: yesApplied Sciences, 2021
Ransomware is an ill-famed malware that has received recognition because of its lethal and irrevocable effects on its victims. The irreparable loss caused due to ransomware requires the timely detection of these attacks. Several studies including surveys
Umara Urooj   +4 more
doaj   +1 more source

Hiding in the Crowd: Ransomware Protection by Adopting Camouflage and Hiding Strategy With the Link File

open access: yesIEEE Access, 2023
Ransomware is a growing threat and is building ecosystems in the form of ransomware as a service (RaaS). While there have been diverse efforts to detect and mitigate such threats, techniques to bypass such countermeasures have advanced considerably ...
Soohan Lee   +4 more
doaj   +1 more source

Ransomware Detection Method Based on Dynamic Symbol Execution [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the problem of network security caused by ransomware,based on the analysis of a large number of ransomware samples,a method of detecting and analyzing ransomware based on dynamic symbol execution is proposed.A ADRAS system model is built based ...
CHEN Zheng,FANG Yong,LIU Liang,ZUO Zheng
doaj   +1 more source

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