Computer Science & Engineering
Recent Submissions
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Deep Learning IoT Malware Detection Model for IoMT Edge Devices
(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 ... -
An efficient PPG Compression Technique for Wearable Health Devices
(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 ... -
Performance Evaluation of Multimedia Transmission over Error-Prone Wireless Channel Using Block and Stream Ciphers.
(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 ... -
DYNAMIC RESOURCE ALLOCATION OF EMBB/URLLC TRAFFIC IN 5G NR
(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 ... -
Image Steganography Using Deep Learning Methods to Detect Covert Communication in Untrusted Channels
(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, ... -
Blockchain Technology and Reputation System for Smart Grids to Address Cyber-Attacks
(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, ... -
DDI: Drones Detection and Identification using Deep Learning Techniques
(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 ... -
Deep Reinforcement Learning for Efficient Uplink NOMA SWIPT Transmissions
(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 ... -
Recognizing Stereotyped Behavior in Children with Autism
(2020 , Professional Masters Project)This project works on helping in identifying and recognizing autistic children's stereotyped behaviors, which can help in diagnosing autism on children. The recognition accomplished by building a signal processing model ... -
Generative Adversarial Networks Based Reconstruction and Restoration of Cultural Heritage
(2019 , Master Thesis)Cultural heritage takes an important part in defining the identity and the history of a civilization or a nation. Valuing and preserving this heritage is thus a top priority for governments and heritage institutions. ... -
Novel Techniques for Blockchain-enabled IoT Systems Leveraging Reinforcement Learning
(2020 , Master Thesis)In the last decade, blockchain and Smart Contracts (SCs) have attracted unprecedented attention in academia and industry due to their technical innovation of providing an immutable distributed ledger with secure cryptographic ... -
Rail Robot for Rail Track Inspection
(2020 , Master Thesis)Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, but also expensive. In addition, the accuracy of defect ... -
Ensuring Quality of Service in Blockchain-Based Healthcare System
(2020 , Master Thesis)Blockchain is a distributed secure ledger that eliminates the need for centralized authority to store data. It provides decentralized, secure and trustless framework that does not require a third party for transaction ... -
Diabetic Reinopathy Classification using Deep Learning
(2020 , Master Thesis)With diabetes growing at an alarming rate, changes in the retina of diabetic patients causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best ... -
Staticand Dynamic Facial Emotion Recognition Using Neural Network Models
(2020 , Master Thesis)Emotion recognition is the process of identifying human emotions. It is made possible by processing various modalities including facial expressions, speech signals, biometricsignals,etc. Withtheadvancementsincomputingt ... -
A Deep Learning Based Approach To Detect Covert Channels Attacks and Anomaly In New Generation Internet Protocol IPv6
(2020 , Master Thesis)The increased dependence of internet-based technologies in all facets of life challenges the government and policymakers with the need for effective shield mechanism against passive and active violations. Following up ... -
Multi-Connectivity Management and Orchestration Architecture Integrated With 5g Multi Radio Access Technology Network
(2020 , Professional Masters Project)The significant growth in the number of devices and the tremendous boost in network/user traffic types and volume as well as the efficiency constraints of 4G innovations have encouraged industry efforts and also financial ... -
DDoS: DeepDefence and Machine Learning for identifying attacks
(2020 , Master Thesis)Distributed Denial of Service (DDoS) attacks are very common type of computer attack in the world of internet today. Automatically detecting such type of DDoS attack packets & dropping them before passing through the ... -
SparkIR: a Scalable Distributed Information Retrieval Engine over Spark
(2020 , Master Thesis)Search engines have to deal with a huge amount of data (e.g., billions of documents in the case of the Web) and find scalable and efficient ways to produce effective search results. In this thesis, we propose to use ... -
Differential Architecture Search in Deep Learning for DNA Splice Site Classification
(2019 , Master Thesis)The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the ...
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