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 state-of-the-art survey of malware detection approaches using data mining techniques
A Souri, R Hosseini - Human-centric Computing and Information Sciences, 2018 - Springer
Data mining techniques have been concentrated for malware detection in the recent
decade. The battle between security analyzers and malware scholars is everlasting as …
decade. The battle between security analyzers and malware scholars is everlasting as …
A novel dynamic android malware detection system with ensemble learning
With the popularity of Android smartphones, malicious applications targeted Android
platform have explosively increased. Proposing effective Android malware detection method …
platform have explosively increased. Proposing effective Android malware detection method …
JOWMDroid: Android malware detection based on feature weighting with joint optimization of weight-mapping and classifier parameters
L Cai, Y Li, Z Xiong - Computers & Security, 2021 - Elsevier
Android malware detection is an important problem that must be urgently studied and
solved. Machine learning-based methods first extract features from applications and then …
solved. Machine learning-based methods first extract features from applications and then …
Hybrid malware classification method using segmentation-based fractal texture analysis and deep convolution neural network features
As the number of internet users increases so does the number of malicious attacks using
malware. The detection of malicious code is becoming critical, and the existing approaches …
malware. The detection of malicious code is becoming critical, and the existing approaches …
Malicious application detection in android—a systematic literature review
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …
gadgets became an essential necessity of day-to-day life. People are using new …
Cyber code intelligence for android malware detection
Evolving Android malware poses a severe security threat to mobile users, and machine-
learning (ML)-based defense techniques attract active research. Due to the lack of …
learning (ML)-based defense techniques attract active research. Due to the lack of …
FSDroid:-A feature selection technique to detect malware from Android using Machine Learning Techniques: FSDroid
A Mahindru, AL Sangal - Multimedia Tools and Applications, 2021 - Springer
With the recognition of free apps, Android has become the most widely used smartphone
operating system these days and it naturally invited cyber-criminals to build malware …
operating system these days and it naturally invited cyber-criminals to build malware …
Vehicle security: A survey of security issues and vulnerabilities, malware attacks and defenses
Recent years have led the path to the evolution of automotive technology and with these
new developments, modern vehicles are getting increasingly astute and offering growing …
new developments, modern vehicles are getting increasingly astute and offering growing …
Graph representation learning and its applications: a survey
Graphs are data structures that effectively represent relational data in the real world. Graph
representation learning is a significant task since it could facilitate various downstream …
representation learning is a significant task since it could facilitate various downstream …