Performance Comparison of Machine Learning Techniques in Detection of Primary users for Cognitive Radio.

SA Ahmed, D Rani - Grenze International Journal of …, 2024 - search.ebscohost.com
With the help of cognitive radio, users will no longer have to deal with spectrum utilization
and allocation conflicts. This technology allows them to utilize the idle resources of their …

Machine Learning Security for Tactical Operations

DDN Fields, SA Friend, A Hermansen… - Military Cyber …, 2024 - digitalcommons.usf.edu
Deep learning finds rich applications in the tactical domain by learning from diverse data
sources and performing difficult tasks to support mission-critical applications. However, deep …

Securing Wireless Multimedia Objects Through Machine Learning Techniques in Wireless Sensor Networks

R Ahuja, AK Agarwal, M Sharma… - Smart Sensor Networks …, 2021 - taylorfrancis.com
This chapter illustrated the various techniques to secure multimedia objects through
machine learning techniques in a wireless sensor network. Multimedia objects are easily …

Security Assessment of Dynamic Spectrum Access in Emerging Wireless Networks

M Hossain - 2020 - search.proquest.com
The proliferation of wireless technologies in a licensed manner has resulted in the scarcity of
the radio spectrum. Therefore, spectrum availability has become a challenge for new and …

Adversarial attack on RSSI-based indoor localization using deep learning

M Patil - 2021 - search.proquest.com
With the increasing growth of location-based services (LBS), Wi-Fi localization have
attracted great interest due to its ubiquitous wireless coverage in indoor environments …

Adaptive Intelligent Radio Spectrum Sharing for Wireless Networks

S Sarkar - 2021 - search.proquest.com
With the ever-growing demand for wireless-based applications, we face the enormous
challenge of the lack of available radio spectrum. One promising direction for dealing with …