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A Deep Learning Based Approach To Detect Covert Channels Attacks and Anomaly In New Generation Internet Protocol IPv6
(Computing, 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 ...
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 ...
Generative Adversarial Networks Based Reconstruction and Restoration of Cultural Heritage
(Computing, 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. ...
Recognizing Stereotyped Behavior in Children with Autism
(Computing, 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 ...
SparkIR: a Scalable Distributed Information Retrieval Engine over Spark
(Computing, 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 ...
Staticand Dynamic Facial Emotion Recognition Using Neural Network Models
(Computing, 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 ...
Ensuring Quality of Service in Blockchain-Based Healthcare System
(Computing, 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 ...
IOTA Viability In Healthcare Industry
(Computing, 2019 , Master Thesis)
The Internet of Things is a novel paradigm which involves the increasing prevalence of objects and entities supported with identifiers and the ability to exchange the data over a network. However, with all these advantages ...