Title: Implementation of a novel technique for ordering of features algorithm in detection of ransomware attack

Authors: Laxmi B. Bhagwat; Balaji M. Patil

Addresses: School of Computer Engineering and Technology, Dr. Vishwanath Karad World Peace University, Kothrud, Pune, India ' School of Computer Engineering and Technology, Dr. Vishwanath Karad World Peace University, Kothrud, Pune, India

Abstract: In today's world, malware has become a part and threat to our computer systems. All electronic devices are very susceptible/vulnerable to various threats like different types of malware. There is one subset of malware called ransomware, which is majorly used to have large financial gains. The attacker asks for a ransom amount to regain access to the system/data. When dynamic technique using machine learning is used, it is very important to select the correct set of features for the detection of a ransomware attack. In this paper, we present two novel algorithms for the detection of ransomware attacks. The first algorithm is used to assign the time stamp to the features (API calls) for the ordering and second is used for the ordering and ranking of the features for the early detection of a ransomware attack.

Keywords: ransomware; machine learning; dynamic detection technique; feature selection and ordering; API calls; Malware.

DOI: 10.1504/IJESDF.2024.142014

International Journal of Electronic Security and Digital Forensics, 2024 Vol.16 No.6, pp.739 - 751

Received: 22 May 2022
Accepted: 03 Jul 2023
Published online: 07 Oct 2024 *

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