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 …

Map** industry 4.0 enabling technologies into united nations sustainability development goals

M M. Mabkhot, P Ferreira, A Maffei, P Podržaj… - Sustainability, 2021 - mdpi.com
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 …

Deep learning for image-based mobile malware detection

F Mercaldo, A Santone - Journal of Computer Virology and Hacking …, 2020 - Springer
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 …

Vehicle security: A survey of security issues and vulnerabilities, malware attacks and defenses

AA Elkhail, RUD Refat, R Habre, A Hafeez… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Visualizing the outcome of dynamic analysis of Android malware with VizMal

A De Lorenzo, F Martinelli, E Medvet… - Journal of Information …, 2020 - Elsevier
Malware detection techniques based on signature extraction require security analysts to
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 …

Obfuscation detection in android applications using deep learning

M Conti, P Vinod, A Vitella - Journal of Information Security and …, 2022 - Elsevier
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 …

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation

F Mercaldo, L Brunese, F Martinelli, A Santone… - Sensors, 2023 - mdpi.com
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 …

Audio signal processing for android malware detection and family identification

F Mercaldo, A Santone - Journal of Computer Virology and Hacking …, 2021 - Springer
Mobile malware is increasing in complexity and maliciousness, with particular regard to the
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 …