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Journal of Biosafety and Biosecurity 2024年第3期6卷 157-169页

作者： Ranjan K.Mohapatra Ahmed Mahal Pranab K.Mohapatra Ashish K.Sarangi Snehasish Mishra Meshari A.Alsuwat Nada N.alshehri Sozan M.Abdelkhalig Mohammed Garout Mohammed Aljeldah ahmad a.alshehri Ahmed Saif Mohammed Abdulrahman Alshahrani Ali S.Alqahtani Yahya A.Almutawif Hamza M.A.Eid Faisal M Albaqami Mohnad Abdalla Ali A.Rabaan Department of Chemistry Government College of EngineeringKeonjhar 758002OdishaIndia Department of Medical Biochemical Analysis College of Health TechnologyCihan University–ErbilErbilKurdistan RegionIraq Department of Chemistry CV Raman Global UniversityBhubaneswarOdishaIndia Department of Chemistry School of Applied SciencesCenturion University of Technology and ManagementBalangirOdishaIndia School of Biotechnology Campus-11KIIT Deemed-to-be-UniversityBhubaneswar 751024OdishaIndia Clinical Laboratory Sciences Department College of Applied Medical SciencesTaif UniversityAl-Taif 21974Saudi Arabia Internal Medicine Department King Khalid University Medical CityCollege of MedicineAbha 61481Saudi Arabia Department of Basic Medical Sciences College of MedicineAlMaarefa UniversityRiyadhSaudi Arabia Department of Community Medicine and Health Care for Pilgrims Faculty of MedicineUmm Al-Qura UniversityMakkah 21955Saudi Arabia Department of Clinical Laboratory Sciences College of Applied Medical SciencesUniversity of Hafr Al BatinHafr Al Batin 39831Saudi Arabia Department of Clinical Laboratory Sciences Faculty of Applied Medical SciencesNajran UniversityNajran 61441Saudi Arabia Department of Medical Laboratory Sciences Faculty of Applied Medical SciencesKing Khalid UniversityAbha 61481Saudi Arabia mDepartment of Medical Laboratories Technology College of Applied Medical SciencesTaibah UniversityMadinah 41411Saudi Arabia Biology Department College of ScienceIslamic University of MadinahMadinah 42351Saudi Arabia Pediatric Research Institute Children’s Hospital Affiliated to Shandong UniversityJinanShandong 250022China Molecular Diagnostic Laboratory Johns Hopkins Aramco HealthcareDhahran 31311Saudi Arabia College of Medicine Alfaisal UniversityRiyadh 11533Saudi Arabia Department of Public Health and Nutrition The University of HaripurHaripur 22610Pakistan

Outbreaks of Monkeypox(mpox)in over 100 non-endemic countries in 2022 represented a serious global health *** a neglected disease,mpox has become a global public health issue.A42R profilinlike protein from mpox(PDB ID:4QWO)represents a potential new lead for drug development and may interact with various synthetic and natural *** this report,the interaction of A42R profilinlike protein with six phytochemicals found in the medicinal plant Ficus religiosa(abundant in India)was *** on the predicted and compared protein–ligand binding energies,biological properties,IC_(50) values and toxicity,two compounds,kaempferol(C-1)and piperine(C-4),were *** characteristics and quantitative structure–activity relationship(QSAR)of these two compounds were determined,and molecular dynamics(MD)simulations were *** silico examination of the kaempferol(C-1)and piperine(C-4)interactions with A42R profilin-like protein gave best-pose ligandbinding energies of–6.98 and–5.57 kcal/mol,*** predicted IC_(50) of C-1 was 7.63 lM and 82 lM for *** data indicated that kaempferol and piperine are non-mutagenic,and the QSAR data revealed that piperlongumine(5.92)and piperine(5.25)had higher log P values than the other compounds *** simulations of A42R profilin-like protein in complex with C-1 and C-4 were performed to examine the stability of the ligand–protein ***/C and C-4 showed the highest affinity and activities,they may be suitable lead candidates for developing mpox therapeutic *** study should facilitate discovering and synthesizing innovative therapeutics to address other infectious diseases.

关键词： Monkeypox Mpox Phytochemical Molecular docking MD simulation ADMET QSAR

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Generic Attribute Scoring for Information Decay in Threat Information Sharing Platform

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Computers, Materials & Continua 2021年第4期67卷 917-931页

作者： Mohammed alshehri Department of Information Technology Majmaah UniversityMajmaah11952Saudi Arabia

Cyber Threat Intelligence(CTI)has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such *** information exchange and collaborative sharing through different platforms have a significant contribution towards a global *** CTI and the information exchange can help a lot in focusing and prioritizing on the use of the large volume of complex information among different organizations,there exists a great challenge ineffective processing of large count of different Indicators of Threat(IoT)which appear regularly,and that can be solved only through a collaborative *** approach and intelligence sharing have become the mandatory element in the entire world of processing the *** order to covet the complete needs of having a definite standard of information exchange,various initiatives have been taken in means of threat information sharing platforms like MISP and formats such as *** paper proposes a scoring model to address information decay,which is shared within *** scoring model is implemented,taking the use case of detecting the Threat Indicators in a phishing data *** proposed method calculates the rate of decay of an attribute through which the early entries are removed.

关键词： Information interchange cyber threat intelligence indicators of threats threat intelligence sharing platform

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Cryptanalysis of 2D-SCMCI Hyperchaotic Map Based Image Encryption Algorithm

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Computer Systems Science & Engineering 2023年第8期46卷 2401-2414页

作者： Mohammed S.alshehri Sultan Almakdi Mimonah Al Qathrady Jawad ahmad Department of Computer Science Najran UniversityNajran55461Saudi Arabia Department of Information Systems Najran UniversityNajran55461Saudi Arabia School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

Chaos-based cryptosystems are considered a secure mode of communication due to their *** maps are associated with the other domains to construct robust encryption *** exist numerous encryption schemes in the literature based on chaotic *** work aims to propose an attack on a recently proposed hyper-chaotic map-based *** core notion of the original algorithm was based on permutation and diffusion.A bitlevel permutation approach was used to do the permutation row-and *** diffusion was executed in the forward and backward *** statistical strength of the cryptosystem has been demonstrated by extensive testing conducted by the author of the *** cryptanalysis article investigates the robustness of this cryptosystem against a chosen-plaintext *** secret keys of the cryptosystem were retrieved by the proposed attack with 258 chosen-plain *** results in this manuscript suggest that,in addition to standard statistical evaluations,thorough cryptanalysis of each newly suggested cryptosystem is necessary before it can be used in practical ***,the data retrieved is also passed through some statistical analysis to compare the quality of the original and retrieved *** results of the performance analysis indicate the exact recovery of the original *** make the cryptosystem useful for applications requiring secure data exchange,a few further improvement recommendations are also suggested.

关键词： Cryptanalysis hyperchaotic map image encryption chosen-plaintext attack cryptosystem

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An Online Fake Review Detection Approach Using Famous Machine Learning Algorithms

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Computers, Materials & Continua 2024年第2期78卷 2767-2786页

作者： Asma Hassan alshehri Department of Computer Sciences College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia

Online review platforms are becoming increasingly popular,encouraging dishonest merchants and service providers to deceive customers by creating fake reviews for their goods or *** Sybil accounts,bot farms,and real account purchases,immoral actors demonize rivals and advertise their *** academic and industry efforts have been aimed at detecting fake/fraudulent product or service evaluations for *** primary hurdle to identifying fraudulent reviews is the lack of a reliable means to distinguish fraudulent reviews from real *** paper adopts a semi-supervised machine learning method to detect fake reviews on any website,among other *** reviews are classified using a semi-supervised approach(PU-learning)since there is a shortage of labeled data,and they are ***,classification is performed using the machine learning techniques Support Vector Machine(SVM)and Nave *** performance of the suggested system has been compared with standard works,and experimental findings are assessed using several assessment metrics.

关键词： Security fake review semi-supervised learning ML algorithms review detection

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Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City

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Computers, Materials & Continua 2021年第4期67卷 625-639页

作者： Muhammad Usman Tariq Muhammad Babar Mian ahmad Jan Akmal Saeed Khattak Mohammad Dahman alshehri Abid Yahya Abu Dhabi School of Management Abu Dhabi6844United Arab Emirates Department of Computing and Technology Iqra UniversityIslamabad44000Pakistan Institute of Research and Development Duy Tan UniversityDa Nang550000Vietnam The Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Sciences Abdul Wali Khan UniversityMardan23200Pakistan Department of Computer Sciences Quaid-i-Azam UniversityIslamabad44000Pakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Botswana International University of Science and Technology Palapye016Botswana

The world is rapidly changing with the advance of information *** expansion of the Internet of Things(IoT)is a huge step in the development of the smart *** IoT consists of connected devices that transfer *** IoT architecture permits on-demand services to a public pool of *** computing plays a vital role in developing IoT-enabled smart *** integration of cloud computing enhances the offering of distributed resources in the smart *** management of security requirements of cloud-assisted IoT systems can bring about risks to availability,security,performance,condentiality,and *** key reason for cloud-and IoT-enabled smart city application failure is improper security practices at the early stages of *** article proposes a framework to collect security requirements during the initial development phase of cloud-assisted IoT-enabled smart city *** three-layered architecture includes privacy preserved stakeholder analysis(PPSA),security requirement modeling and validation(SRMV),and secure cloud-assistance(SCA).A case study highlights the applicability and effectiveness of the proposed framework.A hybrid survey enables the identication and evaluation of signicant challenges.

关键词： Security privacy smart city Internet of Things cloud computing

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Chest wall osteochondroma resection with biologic acellular bovine dermal mesh reconstruction in pediatric hereditary multiple exostoses:A case report and review of literature

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World Journal of Clinical Cases 2023年第17期11卷 4123-4132页

作者： Abdullah alshehri Department of Surgery College of MedicineKing Saud UniversityRiyadh 11623Saudi Arabia

BACKGROUND Hereditary multiple exostoses is a rare genetic disorder characterized by the growth of multiple osteochondromas affecting primarily long *** wall lesions may represent a challenge,particularly in pediatric *** is a common ***,life-threatening complications can result from direct involvement of adjacent *** resection with appropriate reconstruction is often *** SUMMARY A 5-year-old male who was diagnosed with hereditary multiple exostoses presented with significant pain from a large growing chest wall exostosis *** appropriate preoperative investigations,he underwent surgical resection with reconstruction of his chest wall using a biologic bovine dermal matrix *** Resection of chest wall lesions in children represents a *** planning to determine the appropriate reconstruction strategy is essential.

关键词： Hereditary multiple exostoses Chest wall neoplasm Chest wall reconstruction Biologic mesh Pediatric Case report

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Impact of Human Vulnerabilities on Cybersecurity

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Computer Systems Science & Engineering 2022年第3期40卷 1153-1166页

作者： Maher Alsharif Shailendra Mishra Mohammed alshehri Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia

Today,security is a major challenge linked with computer network companies that cannot defend against *** vulnerable factors increase security risks and cyber-attacks,including viruses,the internet,communications,and *** of Things(IoT)devices are more effective,and the number of devices connected to the internet is constantly increasing,and governments and businesses are also using these technologies to perform business activities ***,the increasing uses of technologies also increase risks,such as password attacks,social engineering,and phishing *** play a major role in the field of *** is observed that more than 39%of security risks are related to the human factor,and 95%of successful cyber-attacks are caused by human error,with most of them being insider *** major human factor issue in cybersecurity is a lack of user awareness of cyber *** study focuses on the human factor by surveying the vulnerabilities and reducing the risk by focusing on human nature and reacting to different *** study highlighted that most of the participants are not experienced with cybersecurity threats and how to protect their personal ***,the lack of awareness of the top three vulnerabilities related to the human factor in cybersecurity,such as phishing attacks,passwords,attacks,and social engineering,are major problems that need to be addressed and reduced through proper awareness and training.

关键词： Cybersecurity phishing attack password attack social engineering cybersecurity awareness security risk

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Breast Cancer Diagnosis Using Artificial Intelligence Approaches: A Systematic Literature Review

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Intelligent Automation & Soft Computing 2023年第7期37卷 939-970页

作者： Alia.alshehri Duaa AlSaeed College of Computer and Information Sciences King Saud UniversityRiyadh11451Saudi Arabia

One of the most prevalent cancers in women is breast *** and accurate detection can decrease the mortality rate associated with breast *** and health organizations emphasize the significance of early breast cancer screening since it is associated to a greater variety of available treatments and a higher chance of *** have the best chance of obtaining effective treatment when they are diagnosed *** detection and diagnosis of breast cancer have involved using various image types and imaging ***“infrared thermal”imaging is one of the imaging modalities.,a screening instrument used to measure the temperature distribution of breast tissue,and even though it has not been used as extensively as mammography it demonstrated encouraging outcomes when utilized for early *** also has several advantages,as it is safe,painless,non-invasive,and *** literature showed that the use of thermal images with deep neural networks improved the accuracy of early diagnosis of breast ***,in this paper,we aim to provide a systematic review of research efforts and state-of-the-art studies in the domain of breast cancer detection using AI *** review highlighted different issues,such as using different imaging modalities and deep attention mechanisms with deep learning(DL),which proved to enhance detection accuracy.

关键词： Breast cancer thermography deep learning attention mechanisms machine learning detection diagnosis artificial intelligence

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Perforated duodenal ulcer secondary to deferasirox use in a child successfully managed with laparoscopic drainage:A case report

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World Journal of Clinical Cases 2022年第34期10卷 12775-12780页

作者： Abdullah alshehri Tuqa Adil Alsinan Department of Surgery College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia Department of Pediatric Surgery Prince Sultan Military Medical CityRiyadh 12211Saudi Arabia College of Medicine Alfaisal UniversityRiyadh 12211Saudi Arabia

BACKGROUND A perforated gastroduodenal ulcer is rarely observed in *** medications have been reported to cause ***,an iron chelating agent,has been previously reported to be associated with the development of gastroduodenal *** SUMMARY We report a case of a 3-year-old boy who was diagnosed with beta thalassemia major and treated with *** presented to the emergency department with an acute abdomen.A perforated duodenal ulcer was suspected after X-ray imaging and laparoscopic *** was successfully managed with laparoscopic washout and *** Due to the rarity and severity of this case,it is a reminder that prevention and early recognition of gastrointestinal complications in patients receiving deferasirox are *** invasive laparoscopic surgery is both safe and feasible to treat perforated duodenal ulcers in selected patients.

关键词： Peptic ulcer Iron chelating agents Deferasirox Hemoglobinopathies Children Case report

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Blockchain-Based SQKD and IDS in Edge Enabled Smart Grid Network

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Computers, Materials & Continua 2022年第2期70卷 2149-2169页

作者： Abdullah Musaed Alkhiari Shailendra Mishra Mohammed alshehri Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia

Smart Grid is a power grid that improves flexibility,reliability,and efficiency through smart *** to extensive data exchange over the Internet,the smart grid faces many security challenges that have led to data loss,data compromise,and high power ***,the lack of hardware protection and physical attacks reduce the overall performance of the smart grid *** proposed the BLIDSE model(Blockchain-based secure quantum key distribution and Intrusion Detection System in Edge Enables Smart Grid Network)to address these *** proposed model includes five phases:The first phase is blockchain-based secure user authentication,where all smart meters are first registered in the blockchain,and then the blockchain generates a secret *** blockchain verifies the user ID and the secret key during authentication matches the one authorized to access the *** secret key is shared during transmission through secure quantum key distribution(SQKD).The second phase is the lightweight data encryption,for which we use a lightweight symmetric encryption algorithm,named *** third phase is the multi-constraint-based edge selection;the data are transmitted to the control center through the edge server,which is also authenticated by blockchain to enhance the security during the data *** proposed a perfect matching algorithm for selecting the optimal *** fourth phase is a dual intrusion detection system which acts as a firewall used to drop irrelevant packets,and data packets are classified into normal,physical errors and attacks,which is done by Double DeepQNetwork(DDQN).The last phase is optimal user privacy *** this phase,smartmeter updates and revocations are done,forwhichwe proposed Forensic based Investigation Optimization(FBI),which improves the security of the smart grid *** simulation is performed using network simulator NS3.26,which evaluates the performance in terms of computational complexity,accurac

关键词： Smart grid edge computing intrusion detection system blockchain quantum key distribution deep reinforcement learning

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