• Analysis of a secure virtual desktop infrastructure system

      Tong, Yijie (Auckland University of Technology, 2015)
      With an increasing number of personal computers introduced in schools, enterprises and other large organizations, workloads of system administrators have been on the rise, due to the issues related to energy costs, IT ...
    • Anomalies Detection and Tracking Using Siamese Neural Networks

      An, Na (Auckland University of Technology, 2020)
      In this thesis, we detect and track anomalies on the sidewalk using deep learning. The proposed network consists of two parts: The first part is an object detection network, namely, SSD(Single Shot MultiBox Detector) is ...
    • Attack graph analysis for network anti-forensics

      Ramachandran Pillai Lekshmi, Rahul Chandran (Auckland University of Technology, 2013)
      The development of technology in computer networks has increased the percentage of cyber-attacks and attackers are able to penetrate even the strongest IDS and firewalls. Anti-forensics in computer networks is an emerging ...
    • Augmented Reality on Mobile Devices Using Both Front and Rear Cameras

      Liu, Tongtong (Auckland University of Technology, 2020)
      When people buy sunglasses in the store, it is hard for them to see themselves wearing sunglasses in the mirror. Besides, if people want to buy glasses online, they can't try on the glasses and they don't know if the glasses ...
    • Banknote Recognition in Real Time Using ANN

      Ren, Yueqiu (Auckland University of Technology, 2017)
      Financial institutions have adopted various automated banking systems using currency recognition as their main activity, which makes automated currency recognition of significant interest. However, after the review of the ...
    • Banknote Serial Number Recognition Using Deep Learning

      Ma, Xin (Auckland University of Technology, 2020)
      Deep learning has been broadly applied to pattern classification, object detection, image segmentation, speech recognition, and other fields in recent years. Convolutional neural networks take dominant role in the field ...
    • Colorizing Grayscale CT Images of Human Lung Using Deep Learning

      Wang, Yuewei (Auckland University of Technology, 2021)
      The COVID-19 epidemic has broken out globally and will influence human healthy history perpetually. We notice that Computed Tomography (CT) images are grayscale ones from the point of view of digital signal visualization. ...
    • Comparative evaluations of image encryption algorithms

      Liu, Zhe (Auckland University of Technology, 2018)
      Information security has become a significant issue for protecting the secret information during transmission in practical applications in the era of information. A raft of information security schemes have been used in ...
    • Comparative Evaluations of Privacy on Digital Images

      Zhang, Xue (Auckland University of Technology, 2018)
      Privacy preservation on social media is a societal issue nowadays. In recent years, with the continuous occurrence of the privacy leaks of user information and file, privacy and security issues have received unprecedented ...
    • Computer Input of Morse Codes Using Finger Gesture Recognition

      Li, Ricky (Auckland University of Technology, 2017)
      The Morse code is one of the earliest means of telecommunications; however, it is rarely used nowadays due to viral mobile communications. Although a person can tap Morse codes using his fingers easily, perhaps nobody is ...
    • Content based authentication of Visual Cryptography

      Wang, Guangyu (Auckland University of Technology, 2015)
      Visual Cryptography (VC) is perceived and studied as a perfect combination of secret sharing and digital image processing. The basic idea of VC is to split original secret image into several partitions which are also called ...
    • Crime Prediction from Digital Videos Using Deep Learning

      Liu, Jialiang (Auckland University of Technology, 2022)
      In the surge of intelligent surveillance, surveillance alarming has been demanded never before, which makes people aware of their ordinary security. Traditional surveillance models are relatively simple, which cannot be ...
    • Cross models for twin recognition

      Gu, Datong (Auckland University of Technology, 2016)
      Nowadays, biometrics has become a popular tool in personal identification as it utilizes physiological or behavioral characteristics to identify individuals. Recent advancement in computer science has increased the accuracy ...
    • Currency Recognition Using Deep Learning

      Zhang, Qian (Auckland University of Technology, 2018)
      Currency is an indispensable part of our daily life. However, how to identify true and fake currencies has become the most important issue at present. If we use a computer for currency recognition, it will greatly improve ...
    • Deep Learning Methods for Human Action Recognition

      Yu, Zeqi (Auckland University of Technology, 2021)
      Human action recognition from digital videos is a hot topic in the field of computer vision. It has a pretty assortment of applications in a myriad of fields such as video surveillance, human-computer interaction, visual ...
    • Design and Implementation of A Cloud Based Intelligent Surveillance System

      Zhou, Lei (Auckland University of Technology, 2016)
      Visual surveillance is widely used in different fields such as security, transportation, medicine, and logistics. However, these videos and images require appropriate storage and computing platforms. Cloud based surveillance ...
    • Detection and Recognition for Multiple Flames Using Deep Learning

      Xin, Chen (Auckland University of Technology, 2018)
      Object recognition is one of the critical fields of intelligent surveillance which can be applied to tackle multiple security issues. The recognition of a flame is an extended research direction which has significant ...
    • Empirical Analysis for Earlier Diagnosis of Alzheimer’s Disease Using Deep Learning

      Sun, Shouming (Auckland University of Technology, 2020)
      With the aging of contemporary society, cognitive impairment and dementia in the elderly, mainly Alzheimer's disease (AD), have become increasingly serious. As a multifactor, multistage, and clinical syndrome with concomitant ...
    • Empirical Approaches for Human Behavior Analytics

      Lu, Jia (Auckland University of Technology, 2016)
      Surveillance is ubiquitous in our communities which can be utilized to deal with multiple security issues. However, most of surveillance systems still are not intelligent which are mainly relying on security staff’s human ...
    • Event-driven traffic ticketing system

      Wang, Jia (Auckland University of Technology, 2016)
      This thesis presents a new schema to implement an event-driven traffic ticketing system. The entire system consists of four modules, namely, (1) event detection module, (2) plate number recognition module to recognize the ...