[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions

R Kaur, D Gabrijelčič, T Klobučar - Information Fusion, 2023 - Elsevier
Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

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 …

Robust intelligent malware detection using deep learning

R Vinayakumar, M Alazab, KP Soman… - IEEE …, 2019 - ieeexplore.ieee.org
Security breaches due to attacks by malicious software (malware) continue to escalate
posing a major security concern in this digital age. With many computer users, corporations …

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 …

Data-driven cybersecurity incident prediction: A survey

N Sun, J Zhang, P Rimba, S Gao… - … surveys & tutorials, 2018 - ieeexplore.ieee.org
Driven by the increasing scale and high profile cybersecurity incidents related public data,
recent years we have witnessed a paradigm shift in understanding and defending against …

Application of deep learning to cybersecurity: A survey

S Mahdavifar, AA Ghorbani - Neurocomputing, 2019 - Elsevier
Abstract Cutting edge Deep Learning (DL) techniques have been widely applied to areas
like image processing and speech recognition so far. Likewise, some DL work has been …

Image-based malware classification using VGG19 network and spatial convolutional attention

MJ Awan, OA Masood, MA Mohammed, A Yasin… - Electronics, 2021 - mdpi.com
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …

A survey of crypto ransomware attack detection methodologies: an evolving outlook

A Alqahtani, FT Sheldon - Sensors, 2022 - mdpi.com
Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …

The rise of software vulnerability: Taxonomy of software vulnerabilities detection and machine learning approaches

H Hanif, MHNM Nasir, MF Ab Razak, A Firdaus… - Journal of Network and …, 2021 - Elsevier
The detection of software vulnerability requires critical attention during the development
phase to make it secure and less vulnerable. Vulnerable software always invites hackers to …