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Extended Forgery Detection Framework for COVID-19 Medical Data Using Convolutional Neural Network

Computers, Materials & Continua 2021年第9期68卷 3773-3787页

作者： sajid habib gill Noor Ahmed Sheikh Samina Rajpar Zain ul Abidin N.Z.Jhanjhi Muneer Ahmad Mirza Abdur Razzaq Sultan S.Alshamrani Yasir Malik Fehmi Jaafar Department of Computer Science Shah Abdul Latif UniversityKhairpur66020SindhPakistan National College of Business Administration&Economics Lahore54000Pakistan School of Computer Science and Engineering SCETaylor’s UniversityMalaysia Department of Information Systems Faculty of Computer Science&Information TechnologyUniversiti MalayaMalaysia Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Engineering&Computing SciencesNew York Institute of TechnologyVancouverCanada The Computer Research Institute of Montreal QuebecCanada

Medical data tampering has become one of the main challenges in the field of secure-aware medical data *** of normal patients’medical data to present them as COVID-19 patients is an illegitimate action that has been carried out in different ways ***,the integrity of these data can be *** detection is a method of detecting an anomaly in manipulated forged *** appropriate number of features are needed to identify an anomaly as either forged or non-forged data in order to find distortion or tampering in the original *** neural networks(CNNs)have contributed a major breakthrough in this type of *** has been much interest from both the clinicians and the AI community in the possibility of widespread usage of artificial neural networks for quick diagnosis using medical data for early COVID-19 patient *** purpose of this paper is to detect forgery in COVID-19 medical data by using CNN in the error level analysis(ELA)by verifying the noise pattern in the *** proposed improved ELA method is evaluated using a type of data splicing forgery and sigmoid and ReLU phenomenon *** proposed method is verified by manipulating COVID-19 data using different types of forgeries and then applying the proposed CNN model to the data to detect the data *** results show that the accuracy of the proposed CNN model on the test COVID-19 data is approximately 92%.

关键词： Data security data privacy medical-data forgery COVID-19 convolutional neural network machine learning deep learning

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ExpressionHash: Securing Telecare Medical Information Systems Using BioHashing

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Computers, Materials & Continua 2021年第6期67卷 2747-2764页

作者： Ayesha Riaz Naveed Riaz Awais Mahmood sajid Ali Khan Imran Mahmood Omar Almutiry habib Dhahri SEECS National University of Science and TechnologyIslamabadPakistan College of Applied Computer Science King Saud University(Almuzahmiyah Campus)RiyadhSaudi Arabia Department of Software Engineering Foundation University IslamabadPakistan

The COVID-19 outbreak and its medical distancing phenomenon have effectively turned the global healthcare challenge into an opportunity for Telecare Medical Information *** systems employ the latest mobile and digital technologies and provide several advantages like minimal physical contact between patient and healthcare provider,easy mobility,easy access,consistent patient engagement,and *** leakage or unauthorized access to users’medical data can have serious consequences for any medical information *** majority of such systems thus rely on biometrics for authenticated access but biometric systems are also prone to a variety of attacks like spoong,replay,Masquerade,and stealing of stored *** this article,we propose a new cancelable biometric approach which has tentatively been named as“Expression Hash”for Telecare Medical Information *** idea is to hash the expression templates with a set of pseudo-random keys which would provide a unique code(expression hash).This code can then be serving as a template for *** expressions would result in different sets of expression hash codes,which could be used in different applications and for different roles of each *** templates are stored on the server-side and the processing is also performed on the *** proposed technique is a multi-factor authentication system and provides advantages like enhanced privacy and security without the need for multiple biometric *** the case of compromise,the existing code can be revoked and can be directly replaced by a new set of expression hash *** well-known JAFFE(The Japanese Female Facial Expression)dataset has been for empirical testing and the results advocate for the efcacy of the proposed approach.

关键词： Biometrics TMIS biohashing multifactor authentication medical information system

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Systematic Analysis of Safety and Security Risks in Smart Homes

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Computers, Materials & Continua 2021年第7期68卷 1409-1428页

作者： habib Ullah Khan Mohammad Kamel Alomari Sulaiman Khan Shah Nazir Asif Qumer gill Alanoud Ali Al-Maadid Zaki Khalid Abu-Shawish Mostafa Kamal Hassan Department of Accounting and Information Systems College of Business and EconomicsQatar UniversityDohaQatar Department of Computer Science University of SwabiSwabiPakistan School of Software University of Technology SydneySydneyAustralia Department of Finance&Economics College of Business&EconomicsQatar UniversityDohaQatar

The revolution in Internet of Things(IoT)-based devices and applications has provided smart applications for *** applications range from healthcare to traffic-flow management,to communication devices,to smart security devices,and many *** particular,government and private organizations are showing significant interest in IoT-enabled applications for smart *** the perceived benefits and interest,human safety is also a key *** research is aimed at systematically analyzing the available literature on smart homes and identifying areas of concern or risk with a view to supporting the design of safe and secure smart *** this systematic review process,relevant work in the most highly regarded journals published in the period 2016–2020(a section of 2020 is included)was analyzed.A final set of 99 relevant articles(journal articles,book sections,conference papers,and survey papers)was analyzed in this *** analysis is focused on three research questions and relevant *** systematic analysis results and key insights will help researchers and practitioners to make more informed decisions when dealing with the safety and security risks of smart homes,especially in emergency situations.

关键词： Smart buildings IoT smart homes systematic literature review prototype model

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Contextual Challenges in the Implementation of the Alliance for Maternal and Newborn Health Improvement, Prospective Cohort Study, an Experience from Rural Pakistan

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Open Journal of Preventive Medicine 2021年第7期11卷 334-346页

作者： Yaqub Wasan Shabina Ariff Amjad Hussain Sheraz Ahmed Mansoor Ali Abro Imran Ahmed Atif habib sajid Bashir Soofi Center of Excellence in Women & Child Health Aga Khan University Karachi Pakistan Department of Paediatrics and Child Health Aga Khan University Karachi Pakistan

Introduction: Improving maternal and newborn survival needs robust data on patterns of morbidity and mortality from well-characterized cohorts. It is equally important for researchers to document and understand the contextual challenges of data collection and how they are addressed. Methods: This was a prospective cohort study implemented from December 2012 to August 2014 in Matiari, Pakistan. A total of 11,315 pregnancies were enrolled. Participants were approached at home for sequential data collection through the standard pretested structured questionnaires. Some indicators were sourced through health facility records. Information on field challenges gathered through field diaries and minutes of meetings with field staff. Results: Inaccurate reporting of last menstrual period (LMP) dates caused difficulties in the planning and completion of antenatal data collection visits at scheduled gestational weeks. We documented ultrasound reports wherever available, relied on quickening technique, and implemented a seasonal event calendar to help mothers’ recall their LMP. Health system coordinators of public sector and private healthcare providers were individually approached for maximum data collection. But an unregulated private health system with poor record maintenance and health care providers’ reluctance for cooperation posed a greater challenge in data collection. Conclusions: Within a broader understanding of the health systems and socio-cultural environment, temporal and spatial feasibility of data collection should be considered thoroughly at the early stages of study designing, planning, resource allocation, and implementation. Pre-defined regular and need-based meetings with each tier of data collection teams and study managers help to reinvigorate field execution plans and optimize both quantity and quality of study data.

关键词： Maternal and Newborn Health Research Contextual Challenges Data Collection Field Implementation Lessons Learnt

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Determinants of Health Care Seeking Behaviors in Puerperal Sepsis in Rural Sindh, Pakistan: A Qualitative Study

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Open Journal of Preventive Medicine 2020年第9期10卷 255-266页

作者： Shabina Ariff Fatima Mir Farhana Tabassum Farrukh Raza Atif habib Ali Turab Amnesty LeFevre Linda A. Bartlett sajid Bashir Soofi Zulfiqar A. Bhutta Department of Paediatric and Child Health Aga Khan University Karachi Pakistan Center of Excellence in Women & Child Health Aga Khan University Karachi Pakistan Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore MD USA

Background: Puerperal sepsis (PS) is one of the major causes of maternal death, contributing to 26,000 deaths per year in developing countries. Early recognition and treatment are essential to managing PS, but numerous social, cultural and technical barriers prevent or delay access to care and necessary medical attention. Through this qualitative study, we identified barriers to care seeking for puerperal sepsis among recently delivered women in Matiari, Pakistan. Methods: We conducted 20 in-depth interviews among recently delivered women with and without sepsis and their family members in September 2012. Key informant interviews were conducted with 14 healthcare providers and traditional birth attendants. The themes used for content analysis were knowledge of danger signs, factors affecting care seeking and local treatment practices for postpartum sepsis. Results: A total of 34 interviews were conducted. Recently delivered women, their family members and traditional birth attendants were unaware of the word PS or the local translated term for PS. However, they were familiar with most of the individual symptoms associated with PS. Healthcare providers were aware of the condition and the associated symptoms. The healthcare providers’ understanding of the seriousness of PS was directly proportional their age and clinical experience. The most common barriers to care seeking was the division of labor within the household, obtaining permission from the primary decision maker, access to transportation, lack of financial resources and support from family members. Conclusion: To improve maternal care seeking behaviors for PS, interventions focusing on increasing knowledge of PS, addressing gender inequality, implementing an affordable community transport service and enhancing TBA’s knowledge and skills to manage PS need to be implemented.

关键词： Puerperal Sepsis Qualitative Care Seeking Barrier Maternal Health

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Determinants of Health Care Seeking Behaviors in Puerperal Sepsis in Rural Sindh,Pakistan: A Qualitative Study

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Open Journal of Preventive Medicine（预防医学期刊） 2020年第9期

作者： Shabina Ariff Fatima Mir Farhana Tabassum Farrukh Raza Atif habib Ali Turab Amnesty LeFevre Linda A. Bartlett sajid Bashir Soofi Zulfiqar A. Bhutta

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