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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 …
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' …
Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification
Malicious software (Malware) is a key threat to security of digital networks and systems.
While traditional machine learning methods have been widely used for malware detection …
While traditional machine learning methods have been widely used for malware detection …
A survey of practical formal methods for security
In today's world, critical infrastructure is often controlled by computing systems. This
introduces new risks for cyber attacks, which can compromise the security and disrupt the …
introduces new risks for cyber attacks, which can compromise the security and disrupt the …
An ensemble-based parallel deep learning classifier with PSO-BP optimization for malware detection
Digital networks and systems are susceptible to malicious software (malware) attacks. Deep
learning (DL) models have recently emerged as effective methods to classify and detect …
learning (DL) models have recently emerged as effective methods to classify and detect …
Auto-detection of sophisticated malware using lazy-binding control flow graph and deep learning
To date, industrial antivirus tools are mostly using signature-based methods to detect
malware occurrences. However, sophisticated malware, such as metamorphic or …
malware occurrences. However, sophisticated malware, such as metamorphic or …
A framework for metamorphic malware analysis and real-time detection
Metamorphism is a technique that mutates the binary code using different obfuscations. It is
difficult to write a new metamorphic malware and in general malware writers reuse old …
difficult to write a new metamorphic malware and in general malware writers reuse old …
Optimizing symbolic execution for malware behavior classification
Increasingly software correctness, reliability, and security is being analyzed using tools that
combine various formal and heuristic approaches. Often such analysis becomes expensive …
combine various formal and heuristic approaches. Often such analysis becomes expensive …
Proving nontermination via safety
We show how the problem of nontermination proving can be reduced to a question of
underapproximation search guided by a safety prover. This reduction leads to new …
underapproximation search guided by a safety prover. This reduction leads to new …
Efficient malware detection using model-checking
Over the past decade, malware costs more than $10 billion every year and the cost is still
increasing. Classical signature-based and emulation-based methods are becoming …
increasing. Classical signature-based and emulation-based methods are becoming …