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 …

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

M Shaygan, C Meese, W Li, XG Zhao… - … research part C: emerging …, 2022 - Elsevier
Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

A survey on ransomware: Evolution, taxonomy, and defense solutions

H Oz, A Aris, A Levi, AS Uluagac - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
In recent years, ransomware has been one of the most notorious malware targeting end-
users, governments, and business organizations. It has become a very profitable business …

Ransomware mitigation in the modern era: A comprehensive review, research challenges, and future directions

T McIntosh, ASM Kayes, YPP Chen, A Ng… - ACM Computing …, 2021 - dl.acm.org
Although ransomware has been around since the early days of personal computers, its
sophistication and aggression have increased substantially over the years. Ransomware, as …

[HTML][HTML] A systematic literature review of blockchain cyber security

PJ Taylor, T Dargahi, A Dehghantanha… - Digital Communications …, 2020 - Elsevier
Since the publication of Satoshi Nakamoto's white paper on Bitcoin in 2008, blockchain has
(slowly) become one of the most frequently discussed methods for securing data storage …

A deep recurrent neural network based approach for internet of things malware threat hunting

H HaddadPajouh, A Dehghantanha, R Khayami… - Future Generation …, 2018 - Elsevier
Abstract Internet of Things (IoT) devices are increasingly deployed in different industries and
for different purposes (eg sensing/collecting of environmental data in both civilian and …

Ransomware detection using the dynamic analysis and machine learning: A survey and research directions

U Urooj, BAS Al-rimy, A Zainal, FA Ghaleb… - Applied Sciences, 2021 - mdpi.com
Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …

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 …

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 …

[HTML][HTML] Internet of things and ransomware: Evolution, mitigation and prevention

M Humayun, NZ Jhanjhi, A Alsayat… - Egyptian Informatics …, 2021 - Elsevier
Internet of things architecture is the integration of real-world objects and places with the
internet. This booming in technology is bringing ease in our lifestyle and making formerly …