[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 …

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 …

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 …

Malware detection with artificial intelligence: A systematic literature review

MG Gaber, M Ahmed, H Janicke - ACM Computing Surveys, 2024 - dl.acm.org
In this survey, we review the key developments in the field of malware detection using AI and
analyze core challenges. We systematically survey state-of-the-art methods across five …

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 …

[HTML][HTML] Ransomware early detection: A survey

M Cen, F Jiang, X Qin, Q Jiang, R Doss - Computer Networks, 2024 - Elsevier
In recent years, ransomware attacks have exploded globally, and it has become one of the
most significant cyber threats to digital infrastructure. Such attacks have been targeting …

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 …

[HTML][HTML] 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 …