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 …
A new malware classification framework based on deep learning algorithms
Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
[HTML][HTML] A survey of malware detection using deep learning
The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …
Malware detection using machine learning and deep learning
Research shows that over the last decade, malware have been growing exponentially,
causing substantial financial losses to various organizations. Different anti-malware …
causing substantial financial losses to various organizations. Different anti-malware …
A novel deep learning-based approach for malware detection
Malware detection approaches can be classified into two classes, including static analysis
and dynamic analysis. Conventional approaches of the two classes have their respective …
and dynamic analysis. Conventional approaches of the two classes have their respective …
[HTML][HTML] Artificial intelligence-based malware detection, analysis, and mitigation
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 …
rapid deployment and self-propagation. In addition, modern malware is one of the most …
[HTML][HTML] The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
The struggle between security analysts and malware developers is a never-ending battle
with the complexity of malware changing as quickly as innovation grows. Current state-of-the …
with the complexity of malware changing as quickly as innovation grows. Current state-of-the …
A comprehensive review on malware detection approaches
According to the recent studies, malicious software (malware) is increasing at an alarming
rate, and some malware can hide in the system by using different obfuscation techniques. In …
rate, and some malware can hide in the system by using different obfuscation techniques. In …
An investigation of a deep learning based malware detection system
We investigate a Deep Learning based system for malware detection. In the investigation,
we experiment with different combination of Deep Learning architectures including Auto …
we experiment with different combination of Deep Learning architectures including Auto …
A deep learning system for health care IoT and smartphone malware detection
The use of smart and connected devices, such as Android and Internet of Things (IoT) have
increased exponentially. In the last 10 years, mobiles and IoT devices have surpassed PC's …
increased exponentially. In the last 10 years, mobiles and IoT devices have surpassed PC's …