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Application of deep learning models for real-time automatic malware detection
The increase in the sophistication and volume of cyberattacks has made traditional malware
detection methods, such as those based on signatures and heuristics, obsolete. These …
detection methods, such as those based on signatures and heuristics, obsolete. These …
Enhanced Android Malware Detection through Artificial Neural Networks Technique
Android devices are rapidly being used, which makes it easy for the malware threat to rise to
higher levels. This ever-growing problem has prompted the need to enhance detection …
higher levels. This ever-growing problem has prompted the need to enhance detection …
Behaviour-Based Malware Detection for Resource-Constrained IoT Devices
Resource-constrained IoT devices present a unique challenge as they lack the necessary
processing power and memory to run traditional detection methods. In this paper, we …
processing power and memory to run traditional detection methods. In this paper, we …