Author(s):
1. Muhammad Hashim:
ICS/IT, The University of Agriculture,Peshawar,Pakistan
2. Javed Iqbal Bangash:
ICS/IT, The University of Agriculture,Peshawar,Pakistan
3. Muhammad Inrahim Durrani:
ICS/IT, The University of Agriculture, Peshawar, Pakistan
Abstract:
Ransomware is a type of malware that encrypts a user's system and then demands a ransom (money) for the decryption key. Crypto ransomware, lockers, scareware, RaaS (Ransomware as a Service), doxware, leakware attacks, and other types of ransomware-related attacks have been increasing in recent years. RW detection and classification play an important role in securing data against various types of attacks. In this paper, ransomware and its different types are discussed in detail. Moreover, review of existing machine learning based mechanisms to detection and classification of ransomware-related attacks are discussed along with their comparative analysis.
Page(s):
1-1
DOI:
DOI not available
Published:
Journal: Second International Conference on Computing Technologies, Tools and Applications (ICTAPP-24), June 4-6,2024 (Abstract Book), Volume: 0, Issue: 0, Year: 2024
Keywords:
machine learning
,
detection
,
Classification
,
Malware Ransomware
References:
References are not available for this document.
Citations
Citations are not available for this document.