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 …
Map** industry 4.0 enabling technologies into united nations sustainability development goals
The emerging of the fourth industrial revolution, also known as Industry 4.0 (I4. 0), from the
advancement in several technologies is viewed not only to promote economic growth, but …
advancement in several technologies is viewed not only to promote economic growth, but …
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 …
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 …
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 …
A new machine learning-based method for android malware detection on imbalanced dataset
DT Dehkordy, A Rasoolzadegan - Multimedia Tools and Applications, 2021 - Springer
Nowadays, malware applications are dangerous threats to Android devices, users,
developers, and application stores. Researchers are trying to discover new methods for …
developers, and application stores. Researchers are trying to discover new methods for …
Obfuscation detection in android applications using deep learning
Malware is often hidden in illegitimately cloned software. Android, with over two billions
active devices, is one of the most affected platforms because code cloning is quite simple …
active devices, is one of the most affected platforms because code cloning is quite simple …
Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation
Brain cancer is widely recognised as one of the most aggressive types of tumors. In fact,
approximately 70% of patients diagnosed with this malignant cancer do not survive. In this …
approximately 70% of patients diagnosed with this malignant cancer do not survive. In this …
Audio signal processing for android malware detection and family identification
Mobile malware is increasing in complexity and maliciousness, with particular regard to the
malicious samples targeting the Android platform, currently the most widespread operating …
malicious samples targeting the Android platform, currently the most widespread operating …
Vulnerable smart contract detection by means of model checking
G Crincoli, G Iadarola, PE La Rocca… - Proceedings of the …, 2022 - dl.acm.org
We are recently witnessing an exponential use of blockchain technology since information
infrastructures are increasingly moving from the concept of centralisation to the …
infrastructures are increasingly moving from the concept of centralisation to the …