Results 21 to 30 of about 2,253 (172)

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

Ransomware: Analysing the Impact on Windows Active Directory Domain Services

open access: yesSensors, 2022
Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability.
Grant McDonald   +4 more
doaj   +1 more source

Retaliation against Ransomware in Cloud-Enabled PureOS System

open access: yesMathematics, 2023
Ransomware is malicious software that encrypts data before demanding payment to unlock them. The majority of ransomware variants use nearly identical command and control (C&C) servers but with minor upgrades.
Atef Ibrahim   +4 more
doaj   +1 more source

State Crime

open access: yesState Crime, 2023
Cybercrime and other cybersecurity harms are gaining increasing political and public attention across many countries. One of the most serious and fastest growing categories of such harms relates to ransomware attacks.
doaj   +1 more source

Ransomware deployment methods and analysis: views from a predictive model and human responses

open access: yesCrime Science, 2019
Ransomware incidents have increased dramatically in the past few years. The number of ransomware variants is also increasing, which means signature and heuristic-based detection techniques are becoming harder to achieve, due to the ever changing pattern ...
Gavin Hull, Henna John, Budi Arief
doaj   +1 more source

On the Economics of Ransomware

open access: yes, 2017
While recognized as a theoretical and practical concept for over 20 years, only now ransomware has taken centerstage as one of the most prevalent cybercrimes. Various reports demonstrate the enormous burden placed on companies, which have to grapple with the ongoing attack waves.
Aron Laszka   +2 more
openaire   +3 more sources

Bitcoin Heist Ransomware Attack Prediction Using Data Science Process [PDF]

open access: yesE3S Web of Conferences, 2023
In recent years, ransomware attacks have become a more significant source of computer penetration. Only general-purpose computing systems with sufficient resources have been harmed by ransomware so far. Numerous ransomware prediction strategies have been
Sathya T.   +4 more
doaj   +1 more source

E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches

open access: yesSensors, 2023
Nowadays, ransomware is considered one of the most critical cyber-malware categories. In recent years various malware detection and classification approaches have been proposed to analyze and explore malicious software precisely.
Iman Almomani   +2 more
doaj   +1 more source

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