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Image Steganography Using Deep Learning Methods to Detect Covert Communication in Untrusted Channels
(Computing, 2021 , Master Thesis)
Media has become a primary medium of communication with the help of the constantly evolving technology. Social media like Facebook, YouTube, Twitter, WhatsApp, and other sites have become a platform for exchanging audio, ...
DDI: Drones Detection and Identification using Deep Learning Techniques
(Computing, 2021 , Master Thesis)
Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. Besides their useful applications, an alarming concern ...
Performance Evaluation of Multimedia Transmission over Error-Prone Wireless Channel Using Block and Stream Ciphers.
(Computing, 2021 , Professional Masters Project)
Network security is one of the crucial topics discussed nowadays, as the world is emerging towards new systems and technologies such as Artificial Intelligence (AI), blockchain, and Internet of Things (IoT). Cryptography ...
An efficient PPG Compression Technique for Wearable Health Devices
(Computing, 2021 , Master Thesis)
Photoplethysmography is a simple, widely used, low-cost technique to acquire important diagnostic information for assessing significant physiological parameters of the human body based on the amount of light reflected from ...
DYNAMIC RESOURCE ALLOCATION OF EMBB/URLLC TRAFFIC IN 5G NR
(Computing, 2021 , Master Thesis)
5G technology is intended to support three promising services with heterogeneous requirements: Ultra-Reliable and Low Latency Communication (uRLLC), enhanced Mobile Broadband (eMBB) and massive Machine Type Communication ...
Deep Learning IoT Malware Detection Model for IoMT Edge Devices
(Computing, 2021 , Master Thesis)
Internet of Things (IoT) is defined as the massive collection of physical devices being connected to the Internet. IoT has a positive impact in multiple fields, such as health, agriculture, and power management sectors by ...
Deep Reinforcement Learning for Efficient Uplink NOMA SWIPT Transmissions
(Computing, 2021 , Master Thesis)
A key rival technology in radio access strategies for next generation cellular communications is non-orthogonal multiple access (NOMA) due to its enhanced performance compared to existing multiple access techniques such ...
Blockchain Technology and Reputation System for Smart Grids to Address Cyber-Attacks
(Computing, 2021 , Master Thesis)
The smart grid model has made a big technological leap over the traditional electrical grid. This model contributes to protecting the physical environment as it provides many benefits such as improved quality of services, ...
Encoder-decoder architecture for ultrasound IMC segmentation and CIMT prediction
(Computing, 2021 , Master Thesis)
Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, Common Carotid Artery (CCA) segmentation and Intima-Media Thickness (IMT) measurement have been significantly implemented ...
Privacy-preserving data aggregation in smart power grid systems
(Computing, 2021 , Master Thesis)
Smart Meters (SMs) are IoT end devices used to collect user utility consumption withlimited processing power on the edge of the smart grid (SG). While SMs have significantapplications in providing data analysis to the ...