Malware Analysis: Tools and Techniques
This bachelor thesis adresses present day topic of broad interest, the topic of malware. This term stands for malicous software as viruses, worms, trojans, spyware etc.
Danilov, Marcel
core
HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]
Minh Manh V, Do Xuan C, Van NTK.
europepmc +1 more source
Validated and enriched Android application dataset: integration of VirusTotal and Quark-Engine intelligence. [PDF]
Mohsen F +4 more
europepmc +1 more source
RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]
Abd-Ellah MK +3 more
europepmc +1 more source
AI-driven adaptive adversaries and the erosion of cryptographic trust in public key systems. [PDF]
Radanliev P.
europepmc +1 more source
Neuro-evolutionary computing approach for an epidemic model of ransomware detection using morlet wavelet neural network with meta-heuristic optimization. [PDF]
Khan ZUA +5 more
europepmc +1 more source
Malware analysis using visualized image matrices. [PDF]
Han K, Kang B, Im EG.
europepmc +1 more source
Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI. [PDF]
Abdelhady G, Hussein KW, Gad IAA.
europepmc +1 more source
OmBNNet: a resource-efficient FPGA-based obfuscated malware detection method using binarized neural network. [PDF]
Das K +3 more
europepmc +1 more source
A deep learning-based IoT malware detection approach for electric vehicle charging stations. [PDF]
Xia L, Chen Y, Han L.
europepmc +1 more source

