[HTML][HTML] A risk assessment framework for mobile apps in mobile cloud computing environments
Mobile devices (MDs) are used by mobile cloud computing (MCC) customers and by other
users because of their portability, robust connectivity, and ability to house and operate third …
users because of their portability, robust connectivity, and ability to house and operate third …
Designing deep learning-enabled surveillance model with classified security levels for smart area networks
T Lee, H Kim, S Zeadally - Ad Hoc Networks, 2025 - Elsevier
As the urban population grows and city infrastructures become more complex, the need for
efficient and responsive security systems in smart buildings becomes increasingly crucial …
efficient and responsive security systems in smart buildings becomes increasingly crucial …
[HTML][HTML] Next-Gen solutions: Deep learning-enhanced design of joint cognitive radar and communication systems for noisy channel environments
In recent years, the dual-function radar and communication (DFRC) paradigm has emerged
as a focal point in addressing spectrum congestion challenges. However, prevailing …
as a focal point in addressing spectrum congestion challenges. However, prevailing …
Deep Learning Approach for Pitting Corrosion Detection in Gas Pipelines
I Malashin, V Tynchenko, V Nelyub, A Borodulin… - Sensors, 2024 - mdpi.com
The paper introduces a computer vision methodology for detecting pitting corrosion in gas
pipelines. To achieve this, a dataset comprising 576,000 images of pipelines with and …
pipelines. To achieve this, a dataset comprising 576,000 images of pipelines with and …
CNN-ViT synergy: An efficient Android malware detection approach through deep learning
The surge in malicious Android applications poses a significant risk to global smartphone
security which demands robust detection strategies that are both effective and efficient …
security which demands robust detection strategies that are both effective and efficient …
Dynamic malware detection based on supervised contrastive learning
S Yang, Y Yang, D Zhao, L Xu, X Li, F Yu… - Computers and Electrical …, 2025 - Elsevier
Abstract Application Programming Interface (API) calls record interactions between a
program and the operating system or other programs during runtime. Due to this precise …
program and the operating system or other programs during runtime. Due to this precise …
Physical layer security communication for IoT-aided intelligent transport systems: An approach in WFRFT signal domain
H Dong, R Gao, J Li, X Fang, X Sha, Z Li - Computers and Electrical …, 2024 - Elsevier
The security and reliability of communication systems are crucial for Intelligent Transport
Systems (ITS), ensuring user data privacy and the transportation network's stable operation …
Systems (ITS), ensuring user data privacy and the transportation network's stable operation …
A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems
With the exponential growth of mobile applications, Android systems have become a
significant source of big data which provides both vast opportunities and substantial privacy …
significant source of big data which provides both vast opportunities and substantial privacy …
Comprehensive Android Malware Detection: Leveraging Machine Learning and Sandboxing Techniques Through Static and Dynamic Analysis
P Bhooshan, N Sonkar - … Conference on Mobile Ad-Hoc and …, 2024 - ieeexplore.ieee.org
Android malware has grown alongside Android smartphones in recent years. One of the
fastest-growing sectors worldwide is the Internet of Things (IoT). The large number of third …
fastest-growing sectors worldwide is the Internet of Things (IoT). The large number of third …
Android Based Malware Detection Technique Using Machine Learning Algorithms
A Iqubal, SK Tiwari, S Azad… - 2024 First International …, 2024 - ieeexplore.ieee.org
The threat landscape has drastically become immense due to the increasing number of
Android devices and applications. Android malware detection is an area of research that has …
Android devices and applications. Android malware detection is an area of research that has …