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155 results on '"Altameem, Ayman"'

3. A reversible-zero watermarking scheme for medical images.

Author

Taj, Rizwan, Tao, Feng, Kanwal, Saima, Almogren, Ahmad, Altameem, Ayman, and Ur Rehman, Ateeq

Subjects
DIGITAL image watermarking, DISCRETE wavelet transforms, DIGITAL watermarking, DIAGNOSTIC imaging, WAVELET transforms, FEATURE extraction
Abstract

The paper addresses the issue of ensuring the authenticity and copyright of medical images in telemedicine applications, with a specific emphasis on watermarking methods. While several systems only concentrate on identifying tampering in medical images, others also provide the capacity to restore the tampered regions upon detection. While several authentication techniques in medical imaging have successfully achieved their goals, previous research underscores a notable deficiency: the resilience of these schemes against unintentional attacks has not been sufficiently examined or emphasized in previous research. This indicates the need for further development and investigation in improving the robustness of medical image authentication techniques against unintentional attacks. This research proposes a Reversible-Zero Watermarking approach as a solution to address these problems. The new approach merges the advantages of both the reversible and zero watermarking techniques. This system is comprised of two parts. The first part is a zero-watermarking technique that uses VGG19-based feature extraction and watermark information to establish an ownership share. The second part incorporates this ownership share into the image in a reversible manner using a combination of a discrete wavelet transform, an integer wavelet transform, and a difference expansion. Research findings confirm that the suggested watermarking approach for medical images demonstrates substantial enhancements compared to current methodologies. Research findings indicate that NC values are often around 0.9 for different attacks, whereas BER values are close to 0. It demonstrates exceptional qualities in being imperceptible, distinguishable, and robust. Additionally, the system provides a persistent verification feature that functions independently of disputes or third-party storage, making it the preferred choice in the domain of medical image watermarking. [ABSTRACT FROM AUTHOR]

Published
2024
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24. An Intelligent Fused Approach for Face Recognition

Author

Meethongjan Khitikun, Dzulkifli Mohamad, Rehman Amjad, Altameem Ayman, and Saba Tanzila

Subjects
face recognition, voronoi diagram, delaunay triangulation, wavelet transform, moment invariants, Science, Electronic computers. Computer science, QA75.5-76.95
Abstract

Face detection plays important roles in many applications such as human–computer interaction, security and surveillance, face recognition, etc. This article presents an intelligent enhanced fused approach for face recognition based on the Voronoi diagram (VD) and wavelet moment invariants. Discrete wavelet transform and moment invariants are used for feature extraction of the facial face. Finally, VD and the dual tessellation (Delaunay triangulation, DT) are used to locate and detect original face images. Face recognition results based on this new fusion are promising in the state of the art.

Published
2013
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38. IoT Devices Authentication Using Artificial Neural Network.

Author

Ul Hasan, Syed Shabih, Ghani, Anwar, Ud Din, Ikram, Almogren, Ahmad, and Altameem, Ayman

Subjects
INTERNET of things, ARTIFICIAL neural networks, COMPUTER passwords, INFORMATION retrieval, CLIENT/SERVER computing
Abstract

User authentication is one of the critical concerns of information security. Users tend to use strong textual passwords, but remembering complex passwords is hard as they often write it on a piece of paper or save it in their mobile phones. Textual passwords are slightly unprotected and are easily attackable. The attacks include dictionary, shoulder surfing, and brute force. Graphical passwords overcome the shortcomings of textual passwords and are designed to aid memorability and ease of use. This paper proposes a Process-based Pattern Authentication (PPA) system for Internet of Things (IoT) devices that does not require a server to maintain a static password of the login user. The server stores user's information, which they provide at the time of registration, i.e., the R-code and the symbol, but the P-code, i.e., the actual password, will change with every login attempt of users. In this scheme, users may draw a pattern on the basis of calculation from the P-code and Rcode in the PPA pattern, and can authenticate themselves using their touch dynamic behaviors through Artificial Neural Network (ANN). The ANN is trained on touch behaviors of legitimate users reporting superior performance over the existing methods. For experimental purposes, PPA is implemented as a prototype on a computer system to carry out experiments for the evaluation in terms of memorability and usability. The experiments show that the system has an effect of 5.03% of the False Rejection Rate (FRR) and 4.36% of the False Acceptance Rate (FAR), respectively. [ABSTRACT FROM AUTHOR]

Published
2022
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46. Green Computing for Wireless Body Area Networks: Energy Efficient Link Aware Medical Data Dissemination Approach

Author

Anwar, Muhammad, Abdullah, Abdul Hanan, Altameem, Ayman, Qureshi, Kashif Naseer, Masud, Farhan, Faheem, Muhammad, Cao, Yue, and Kharel, Rupak

Abstract

Recent technological advancement- in wireless communication has invented Wireless Body Area Networks (WBANs), a cutting edge technology in healthcare applications. WBANs interconnect with intelligent and miniaturized biomedical sensor nodes placed on human body to un-attendant monitoring of physiological parameter of the patient. These sensors are equipped with limited resources in terms of computation, storage and battery power. The data communication in WBANs is a resource hungry process especially in terms of energy. One of the most significant challenges in this network is to design energy aware next-hop link selection framework. Towards this end, this paper presents a Green computing framework for WBANs focusing on Energy efficient Link aware approach (G-WEL). Firstly, a link efficiency oriented network model is presented considering beaconing information and network initialization process. Secondly, a path cost calculation model is derived focusing on energy aware link efficiency. A complete operational framework G-WEL is developed considering energy aware next hop link selection by utilizing the network and path cost model. The comparative performance evaluation attests the energy oriented benefit of the proposed framework as compared to the state-of-the-art techniques. It reveals a significant enhancement in body area networking in terms of various energy oriented metrics under medical environments.

Published
2018

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