BigRC-EML: big-data based ransomware classification using ensemble machine learning

S Aurangzeb, H Anwar, MA Naeem, M Aleem - Cluster Computing, 2022 - Springer
Ransomware is a subcategory of malware whose specific goal is to hold the victim's data by
using encryption techniques until a ransom is paid. With mainstream usage of the Windows …

Behavior-based ransomware classification: A particle swarm optimization wrapper-based approach for feature selection

MS Abbasi, H Al-Sahaf, M Mansoori, I Welch - Applied Soft Computing, 2022 - Elsevier
Ransomware is malware that encrypts the victim's data and demands a ransom for a
decryption key. The increasing number of ransomware families and their variants renders …

[PDF][PDF] On the classification of Microsoft-Windows ransomware using hardware profile

S Aurangzeb, RNB Rais, M Aleem, MA Islam… - PeerJ Computer …, 2021 - peerj.com
Due to the expeditious inclination of online services usage, the incidents of ransomware
proliferation being reported are on the rise. Ransomware is a more hazardous threat than …

Evaluating shallow and deep networks for ransomware detection and classification

R Vinayakumar, KP Soman, KKS Velan… - … on advances in …, 2017 - ieeexplore.ieee.org
Ransomware is one type of malware that covertly installs and executes a cryptovirology
attack on a victims computer to demand a ransom payment for restoration of the infected …

Ransomware prediction using supervised learning algorithms

U Adamu, I Awan - … Conference on Future Internet of Things …, 2019 - ieeexplore.ieee.org
Malware has become most popular attack vector, among which ransomware remained a
threat to individuals and organisations. Ransomware main objectives is extortion by …

A framework for analyzing ransomware using machine learning

S Poudyal, KP Subedi… - 2018 IEEE symposium …, 2018 - ieeexplore.ieee.org
Ransomware attacks increased in recent years causing significant damages and disruptions
to businesses. Forensic analysis such as reverse engineering of executables (or binary files) …

Analysis of crypto-ransomware using ML-based multi-level profiling

S Poudyal, D Dasgupta - Ieee Access, 2021 - ieeexplore.ieee.org
Crypto-ransomware is the most prevalent form of modern malware, has affected various
industries, demanding a significant amount of ransom. Mainly, small businesses, healthcare …

Ransomware classification and detection with machine learning algorithms

M Masum, MJH Faruk, H Shahriar… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Malicious attacks, malware, and ransomware families pose critical security issues to
cybersecurity, and it may cause catastrophic damages to computer systems, data centers …

A study on the evolution of ransomware detection using machine learning and deep learning techniques

DW Fernando, N Komninos, T Chen - IoT, 2020 - mdpi.com
This survey investigates the contributions of research into the detection of ransomware
malware using machine learning and deep learning algorithms. The main motivations for …

Analysis of machine learning techniques for ransomware detection

F Noorbehbahani, F Rasouli… - 2019 16th International …, 2019 - ieeexplore.ieee.org
In parallel with the increasing growth of the Internet and computer networks, the number of
malwares has been increasing every day. Today, one of the newest attacks and the biggest …