Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions

BAS Al-Rimy, MA Maarof, SZM Shaid - Computers & Security, 2018 - Elsevier
Ransomware is a malware category that exploits security mechanisms such as cryptography
in order to hijack user files and related resources and demands money in exchange for the …

The rise of ransomware: Forensic analysis for windows based ransomware attacks

I Kara, M Aydos - Expert Systems with Applications, 2022 - Elsevier
While information technologies grow and propagate worldwide, malwares have modified
and risen their efficiency towards information system. Recently, the attackers have started to …

Dominant feature selection and machine learning‐based hybrid approach to analyze android ransomware

T Gera, J Singh, A Mehbodniya… - Security and …, 2021 - Wiley Online Library
Ransomware is a special malware designed to extort money in return for unlocking the
device and personal data files. Smartphone users store their personal as well as official data …

Evaluation of live forensic techniques in ransomware attack mitigation

SR Davies, R Macfarlane, WJ Buchanan - Forensic Science International …, 2020 - Elsevier
Ransomware continues to grow in both scale, cost, complexity and impact since its initial
discovery nearly 30 years ago. Security practitioners are engaged in a continual “arms race” …

Efficacy of Android security mechanisms on ransomware analysis and detection

T Gera, J Singh, P Faruki, D Thakur - AIP conference proceedings, 2022 - pubs.aip.org
Ransomware being the most threatening mobile malware type; extorts money by taking
control of the user's confidential data. Ransomware targets finances that result in …

A survey on andro-financial Malware attacks, detection methods and current issues

T Gera, J Singh, D Thakur… - 2021 6th international …, 2021 - ieeexplore.ieee.org
Android is open source and the most popular operating system. Increased popularity and
dependency on Smartphone have instigated attackers to exploit Android vulnerabilities for …

Detecting malwares using dynamic call graphs and opcode patterns

KP Deepta, A Salim - Advances in Computing and Data Sciences: First …, 2017 - Springer
Classification and detection of malware includes detecting instances and variants of the
existing known malwares. Traditional signature based approaches fails when byte level …

[PDF][PDF] Research Article Dominant Feature Selection and Machine Learning-Based Hybrid Approach to Analyze Android Ransomware

T Gera, J Singh, A Mehbodniya, JL Webber, M Shabaz… - 2021 - academia.edu
Ransomware is a special malware designed to extort money in return for unlocking the
device and personal data files. Smartphone users store their personal as well as official data …

[PDF][PDF] An ensemble-based anomaly-behavioural crypto-ransomware pre-encryption detection model

BAS Al-Rimy - 2019 - eprints.utm.my
Crypto-ransomware is a malware that leverages cryptography to encrypt files for extortion
purposes. Even after neutralizing such attacks, the targeted files remain encrypted. This …