A comprehensive survey on deep learning based malware detection techniques

M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system

A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …

The age of ransomware: A survey on the evolution, taxonomy, and research directions

S Razaulla, C Fachkha, C Markarian… - IEEE …, 2023 - ieeexplore.ieee.org
The proliferation of ransomware has become a significant threat to cybersecurity in recent
years, causing significant financial, reputational, and operational damage to individuals and …

Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms

M Al-Hawawreh, M Alazab, MA Ferrag… - Journal of Network and …, 2023 - Elsevier
Due to the complexity and diversity of Industrial Internet of Things (IIoT) systems, which
include heterogeneous devices, legacy and new connectivity protocols and systems, and …

DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms

H Bakır, R Bakır - Computers and Electrical Engineering, 2023 - Elsevier
Android Malware detection became a hot topic over the last several years. Although
considerable studies have been conducted utilizing machine learning-based methods, little …

[HTML][HTML] Cryptographic ransomware encryption detection: Survey

K Begovic, A Al-Ali, Q Malluhi - Computers & Security, 2023 - Elsevier
The ransomware threat has loomed over our digital life since 1989. Criminals use this type
of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant amounts …

Ransomware detection using machine learning: A survey

A Alraizza, A Algarni - Big Data and Cognitive Computing, 2023 - mdpi.com
Ransomware attacks pose significant security threats to personal and corporate data and
information. The owners of computer-based resources suffer from verification and privacy …

Artificial intelligence-based malware detection, analysis, and mitigation

A Djenna, A Bouridane, S Rubab, IM Marou - Symmetry, 2023 - mdpi.com
Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with
rapid deployment and self-propagation. In addition, modern malware is one of the most …

Crypto-ransomware: A revision of the state of the art, advances and challenges

JA Gómez Hernández, P García Teodoro… - Electronics, 2023 - mdpi.com
According to the premise that the first step to try to solve a problem is to deepen our
knowledge of it as much as possible, this work is mainly aimed at diving into and …

[HTML][HTML] Behavioral fingerprinting to detect ransomware in resource-constrained devices

AH Celdrán, PMS Sánchez, J von der Assen… - Computers & …, 2023 - Elsevier
Abstract The Internet of Things (IoT), a network of interconnected devices, has grown and
gained traction over the last few years. This paradigm can impact our lives while also …