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 …
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
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 …
critical problem globally, resulting in negative consequences such as lost hours of additional …
A survey on ransomware: Evolution, taxonomy, and defense solutions
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 …
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
Although ransomware has been around since the early days of personal computers, its
sophistication and aggression have increased substantially over the years. Ransomware, as …
sophistication and aggression have increased substantially over the years. Ransomware, as …
[HTML][HTML] A systematic literature review of blockchain cyber security
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 …
(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
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 …
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
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 …
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 …
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 …
of Internet and mobile users throughout the world, especially critical cyber physical systems …
[HTML][HTML] Internet of things and ransomware: Evolution, mitigation and prevention
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 …
internet. This booming in technology is bringing ease in our lifestyle and making formerly …