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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 …
Survey of machine learning techniques for malware analysis
Co** with malware is getting more and more challenging, given their relentless growth in
complexity and volume. One of the most common approaches in literature is using machine …
complexity and volume. One of the most common approaches in literature is using machine …
Deep learning-enabled anomaly detection for IoT systems
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …
industries and government services. Unfortunately, IoT devices and networks are known to …
[HTML][HTML] A survey of the recent trends in deep learning based malware detection
Monitoring Indicators of Compromise (IOC) leads to malware detection for identifying
malicious activity. Malicious activities potentially lead to a system breach or data …
malicious activity. Malicious activities potentially lead to a system breach or data …
Malware classification and composition analysis: A survey of recent developments
Malware detection and classification are becoming more and more challenging, given the
complexity of malware design and the recent advancement of communication and …
complexity of malware design and the recent advancement of communication and …
Deep learning for image-based mobile malware detection
Current anti-malware technologies in last years demonstrated their evident weaknesses due
to the signature-based approach adoption. Many alternative solutions were provided by the …
to the signature-based approach adoption. Many alternative solutions were provided by the …
[HTML][HTML] Deep learning-based attack detection and classification in Android devices
The increasing proliferation of Androidbased devices, which currently dominate the market
with a staggering 72% global market share, has made them a prime target for attackers …
with a staggering 72% global market share, has made them a prime target for attackers …
[PDF][PDF] A survey on malware detection and analysis tools
S Talukder, Z Talukder - … Journal of Network Security & Its …, 2020 - researchgate.net
The huge amounts of data and information that need to be analyzed for possible malicious
intent are one of the big and significant challenges that the Web faces today. Malicious …
intent are one of the big and significant challenges that the Web faces today. Malicious …
Visualizing the outcome of dynamic analysis of Android malware with VizMal
Malware detection techniques based on signature extraction require security analysts to
manually inspect samples to find evidences of malicious behavior. This time-consuming task …
manually inspect samples to find evidences of malicious behavior. This time-consuming task …
Measuring and defeating anti-instrumentation-equipped malware
Malware authors constantly develop new techniques in order to evade analysis systems.
Previous works addressed attempts to evade analysis by means of anti-sandboxing and anti …
Previous works addressed attempts to evade analysis by means of anti-sandboxing and anti …