14 research outputs found
Adaptive DICOM images encryption using quadtree and lightweight ITUBee algorithm
Full text linkThe encryption of medical images protects the privacy of patient information transmitted over networks and communications. In this paper, a lightweight encryption method for medical images is proposed, combining a quadtree-based segmentation and a modified ITUBee algorithm for encryption. A digital imaging and communications in medicine (DICOM) image is divided into variable-size blocks using the Quadtree technique, and the key is generated through a two-dimensional Henon map; the first dimension is used in the confusion process (bit permutation) of the pixel values, and the second sequence is used to generate the key schedule through the application round function. Different numbers of rounds are applied to the ITUBee method based on the size of the segments in the Quadtree, making the algorithm adaptive by increasing the round number when the block size is reduced. The method is used as a lightweight encryption method for encrypting all blocks, utilizing different round numbers for each block size to balance the degree of complexity with the total time consumption of the DICOM image. The result reinforces the proposed method, which produced a high mean squared error (MSE) between the DICOM image and the Encrypted One, and a lower peak signal-to-noise ratio (PSNR). The proposed generated numbers were also tested using national institute of standards and technology (NIST) to evaluate the randomness
Advance Data-Privacy by Using Artificial Intelligence
No full textAbstract: With the progression utilize of computers broadly, utilization of the information has moreover developed to a huge level. Nowadays information is collected without any reason, and each action of a machine or a human being is recorded, On the off chance that required in the future, at that point, the information will be dissected but here the address of believe emerges as the information will go through numerous stages for the investigation by distinctive parties. The information may contain a few touchy or private data which can be mutualized by the organizations included in the investigation stages. So, it is required for the hour to consider the information security issues exceptionally truly. Diverse sorts of strategies have been presented in this paper to guarantee information security conjointly diverse machine learning calculations have been talked about which have been utilized to plan the proposed strategies to guarantee information protection.
Keywords: Data Privacy, Privacy, Artificial Intelligence, Advanced Data Privacy.
Title: Advance Data-Privacy by Using Artificial Intelligence
Author: Hassan Jamal, Nasir A. Algeelani, Yazeed A. Al Moaid
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 38-45
Research Publish Journals
Website: www.researchpublish.com
Published Date: 16-November-2022
DOI: https://doi.org/10.5281/zenodo.7327731
Paper Download Link (Source)
https://www.researchpublish.com/papers/advance-data-privacy-by-using-artificial-intelligenceInternational Journal of Computer Science and Information Technology Research, ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals, Website: www.researchpublish.co
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The status of women under Islamic law and modern Islamic legislation.
No full textThis book is believed to be the first of its kind written by a renowned Muslim lawyer in the English language, and by an Arab author who is probably the leading authority writing in English in the subject of Islamic law (the Sharia), and modern Islamic legislation. There has long been a need for an objective study such as this dealing with the legal rights and obligations of women under the Sharia and under modern Arab Islamic legislation. Seen within the broad principles of Islamic law, the book examines the status of women with regard to marriage, the iddat, parentage and fosterage and custody, and fi lls an important gap left by recent and more general publications on Islamic law. The author has researched original Arabic and Islamic text books and reviewed legislation in the different Arab countries in order to present the most up-to-date information on the subject. It is hoped that this clear, objective account will dispel many of the commonly-held misconceptions about the status of Muslim women in the modern world. This book will provide an enlightenment and deeper understanding of the subject, not only for legal practitioners, but for all those concerned, or with an interest in the subject, particularly Muslim communities in non-Muslim countries, indeed non-Muslim women who may be, or indeed non-Muslim women who may be married to Muslims
The Vexing but Diverting Web of Relationship: Swift, Gulliver, and the Reader
Full text linkThis paper explores the intricate interplay between author, character, and reader in Jonathan Swift's Gulliver's Travels. Through a detailed analysis, the study investigates how Swift constructs a multifaceted web of relationships that both vexes and diverts the reader. By examining the satirical nuances and narrative techniques employed by Swift, the paper elucidates the complex dynamics between Gulliver's evolving perspective and the reader's reception of his voyages. The analysis reveals how Swift's sophisticated manipulation of irony and satire not only critiques contemporary society but also engages readers in a deeper reflection on human nature and societal constructs. Ultimately, this study highlights the enduring relevance of "Gulliver's Travels" and its ability to provoke thought and entertain through its layered narrative and rich character development
D-Lexis: Alphabet Mobile Learning Application for dyslexia for dyslexia Based on Slingerland Methods of Learning
Full text linkThis dessertation reports on the development of D-Lexis, a mobile application with android platform to help dyslexic students in alphabetical learning based on Slingerland methods of learning. Dyslexia is a medical condition that hinders reading, language and spelling skills of a student which affects their learning performance and makes dyslexic students hate conventional classroom methods. Therefore, learning modules for dyslexia learning must be in sequence, structured and applies multisensory approach with focus in alphabet learning as fundamental of literacy to overcome problems of phonological processing that leads to offences in reading, writing, memory retention and spelling. This project focus at overcoming 3 offenses such as reversal and inversion of letters while writing, short memory retention and 'dancing letters' conditions as well as confusion of letters while reading through 5 modules-recognizing capital and lowercase letters, tracing capital and lowercase letters and exercise. The development of the system is based on rapid prototype methodology which is flexible for author to ensure the application meeting user's requirements. An interview with the dyslexia practitioners, 3 observations through videos, 5 qualitative surveys and 3 revisions on design of the systems are conducted to ensure the application is meeting requirements and needs of a dyslexic. The application is developed in 2 phase with 3 amendments on designs and 2 amendments on the development process which results in 5 interactive modules aims on enhancing writing and recognition of letters according to dyslexic needs and requirements. The proposed system is not only suitable for dyslexic but also can be used as a pre-literacy learning application for pre-schools students or primary students
Comments on “Estimating Income Variances by Probability Sampling: A Case Study by Shah and Aleem”
No full textIn this article, we wish to write comments on recently published article “Shah, A.A. and Aleem, M. (2010). Estimating income variances by probability sampling: a case study. Pakistan Journal of Commerce and Social Sciences, 4(2), 194-201”, which suggest improvement as well as criticism on the paper and also contribute effectively towardsjournal repute and ranking
Cyclic Polygonal Designs with Block size 3 and Joint Distance 3
No full textpolygons, are useful in survey sampling in terms of balanced sampling plans excluding contiguous units (BSECs) and balanced sampling plans excluding adjacent units (BSAs) when neighboring units in a population provide similar information. In this paper, themethod of cyclic shifts is used and cyclic polygonal designs (CPDs) are constructed with block size k 3 and 1, 2, 3, 4, 6,12 for joint distance 3 and v{21, 22, ,100}treatments
Lightweight digital imaging and communications in medicine image encryption for IoT system
Full text linkDiagnosis in healthcare systems relies heavily on the use of medical images. Images such as X-rays, ultrasounds, computed tomography (CT) scans, magnetic resonance imaging (MRIs), and other scans of the brain and other internal organs of patients include private and personal information. However, these images are vulnerable to unauthorized users who unlawfully use them for non-diagnostic reasons due to the lack of security in communication routes and the gaps in the storage systems of hospitals or medical centers. Image encryption is a prominent technique used to protect medical images from unauthorized access in addition to enhancing the security of communication networks. In this paper, researchers offer a lightweight cryptosystem for the secure encryption of medical images that makes use of the present block cipher and a five-dimensional chaotic map. More than 25 images from the open science framework (OSF) public database of patients with coronavirus disease 2019 (COVID-19) were used to evaluate the proposed system. DICOM stands for “digital imaging and communications in medicine”. The efficiency of the proposed system is proved in terms of adjacent pixels’ correlation analysis, National Institute of Standards and Technology (NIST) analysis, mean square error, information entropy, unified average changing intensity, peak-to-signal noise ratio, entropy, and structure similarity index image
A Critical Study of the Novel “Shahr khali, Kucha Khali”: ناول”شہرخالی،کوچہ خالی“ کا تنقیدی مطالعہ
No full text"Shahr Khali Kocha Khali" is a renowned novel written by Mustansar Hussain Tarar, a prominent Pakistani writer and travelogue author. The novel was first published in 1979 and has since become a classic of Pakistani literature. Tarar's writing evokes a sense of nostalgia for a bygone era while also addressing contemporary issues. "Shahr Khali Kocha Khali" is not just a novel but a commentary on urbanization, societal changes, and the complexities of human relationships. It captures the essence of Lahore's history and culture, making it a significant work in Pakistani literature.
Reference:
1. Nasir Kazmi, Bergine, Lahore: Fazl-e-Haq and Sons Darbar Market, 1992, p. 592. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, Lahore: Sang-e-Mail Publications, 2020, p. 1233. Issue, Quarterly Literary Magazine, Karachi: October to December 2013, p. 724. Mumtaz Ahmad Khan, Dr., Urdu Novels After Independence, Karachi: Anjaman Urdu Tragqi Pakistan, 1997, p. 1785. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, p. 726. Ibid, p. 257. Ibid, p. 228. Ibid, pp. 27-289. Ibid, pp. 55-5610. Khuram Sohail, interview with Mustansar Hussain Tarar, Dawn News, January 17, 2019.11. Naeem Ahmed, Dr., Sigmund Freud, Theory of Psychoanalysis, Lahore: Negarshat Publishers, 2021, p. 8012. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, p. 9013. Ibid, p. 7814. Rubina Shaheen, Ph.D., Psychology and Literary Creativity, Reflections International, Book 28, April 2018, p. 1115. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, p. 6516. Ibid, p.8417. Ibid, p. 17618. Khuram Sohail, interview with Mustansar Hussain Tarar, Dawn News, January 17, 2019.19. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, p. 11920. Dr. Saleem Akhtar, Psychological Critique, Lahore: Sang-e-Mail Publications, 15 20 A.D., p. 22821. Anwar Jamal, Professor, Literary Terms, Islamabad: National Book Foundation, January 2016, p. 9522. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, p. 17123. Ibid, p. 17124. Sultana Bakhsh, Tales and Humor, Islamabad: National Book Foundation, 2012, p. 4025. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, p.6826. Mumtaz Ahmad Khan, Dr., Few Important Aspects of Urdu Novel, Karachi: Anjuman Tragqi Urdu Pakistan, 2003, p. 6327. Mustansar Hussain Tarar, Shahr Khali, Kocha Khali, p.7
Who will cite you back? Reciprocal link prediction in citation networks
No full text
Purpose
Link prediction in social networks refers toward inferring the new interactions among the users in near future. Citation networks are constructed based on citing each other papers. Reciprocal link prediction in citations networks refers toward inferring about getting a citation from an author, whose work is already cited by you. The paper aims to discuss these issues.
Design/methodology/approach
In this paper, the authors study the extent to which the information of a two-way citation relationship (called reciprocal) is predictable. The authors propose seven different features based on papers, their authors and citations of each paper to predict reciprocal links.
Findings
Extensive experiments are performed on CiteSeer data set by using three classification algorithms (decision trees, Naive Bayes, and support vector machines) to analyze the impact of individual, category wise and combination of features. The results reveal that it is likely to precisely predict 96 percent of reciprocal links. The study delivers convincing evidence of presence of the underlying equilibrium amongst reciprocal links.
Research limitations/implications
It is not a generic method for link prediction which can work for different networks with relevant features and parameters.
Practical implications
This paper predicts the reciprocal links to show who is citing your work to collaborate with them in future.
Social implications
The proposed method will be helpful in finding collaborators and developing academic links.
Originality/value
The proposed method uses reciprocal link prediction for bibliographic networks in a novel way.
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