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Performance Analysis of Three Spectrum Sensing Detection Techniques with Ambient Backscatter Communication in Cognitive Radio Networks

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 813-825页

作者： Shayla Islam Anil Kumar Budati mohammad kamrul hasan Saoucene Mahfoudh Syed Bilal Hussian Shah Institute of Computer Science&Digital Innovation ICSDIUCSI UniversityKuala Lumpur56000Malaysia Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)Selangor43600Malaysia School of Engineering Computing and InformaticsDar Al-Hekma UniversityJeddah22246Saudi Arabia

In wireless communications, the Ambient Backscatter Communication (AmBC) technique is a promisingapproach, detecting user presence accurately at low power levels. At low power or a low Signal-to-Noise Ratio(SNR), there is no dedicated power for the users. Instead, they can transmit information by reflecting the ambientRadio Frequency (RF) signals in the spectrum. Therefore, it is essential to detect user presence in the spectrum forthe transmission of data without loss or without collision at a specific time. In this paper, the authors proposed anovel Spectrum Sensing (SS) detection technique in the Cognitive Radio (CR) spectrum, by developing the *** Matched Filter Detection with Inverse covariance (MFDI), Cyclostationary Feature Detection with Inversecovariance (CFDI) and Hybrid Filter Detection with Inverse covariance (HFDI) approaches are used with AmBCto detect the presence of users at low power levels. The performance of the three detection techniques is measuredusing the parameters of Probability of Detection (PD), Probability of False Alarms (Pfa), Probability of MissedDetection (Pmd), sensing time and throughput at low power or low SNR. The results show that there is a significantimprovement via the HFDI technique for all the parameters.

关键词： Ambient backscatter communication cognitive radio MFDI CFDI HFDI

Novel Adaptive Binarization Method for Degraded Document Images

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Computers, Materials & Continua 2021年第6期67卷 3815-3832页

作者： Siti Norul Huda Sheikh Abdullah Saad M.Ismail mohammad kamrul hasan Palaiahnakote Shivakumara Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaSelangor43600Malaysia The Faculty of Computer and Information Sciences Aljouf UniversitySaudi Arabia Faculty of Computer Systems and Information Technology University of MalayaMalaysia

Achieving a good recognition rate for degraded document images is difficult as degraded document images suffer from low contrast,bleedthrough,and nonuniform illumination *** the existing baseline thresholding techniques that use fixed thresholds and windows,the proposed method introduces a concept for obtaining dynamic windows according to the image content to achieve better *** enhance a low-contrast image,we proposed a new mean histogram stretching method for suppressing noisy pixels in the background and,simultaneously,increasing pixel contrast at edges or near edges,which results in an enhanced *** the enhanced image,we propose a new method for deriving adaptive local thresholds for dynamic *** dynamic window is derived by exploiting the advantage of Otsu *** assess the performance of the proposed method,we have used standard databases,namely,document image binarization contest(DIBCO),for *** comparative study on well-known existing methods indicates that the proposed method outperforms the existing methods in terms of quality and recognition rate.

关键词： Global and local thresholding adaptive binarization degraded document image image histogram document image binarization contest

An Improved iBAT-COOP Protocol for Cooperative Diversity in FANETs

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Computers, Materials & Continua 2021年第5期67卷 2527-2546页

作者： Shahzad Hameed Qurratul-Ain Minhas Sheeraz Ahmed Shabana Habib mohammad kamrul hasan Muhammad Islam Sheroz Khan Quaid-i-Azam University IslamabadPakistan Iqra National University PeshawarPakistan Network and Communication Technology Lab Center for Cyber SecurityUKMBangiMalaysia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Electrical Engineering Onaizah College of Engineering&Information TechnologyAl-QassimSaudi Arabia

Flying ad hoc networks(FANETs)present a challenging environment due to the dynamic and highly mobile nature of the *** network topology and uncertain node mobility structure of FANETs do not aim to consider only one path *** different techniques are adopted to address the issues arising in FANETs,from game theory to clustering to channel estimation and other statistical *** approaches mostly employ traditional concepts for problem *** of the novel approaches that provide simpler solutions to more complex problems is to use biologically inspired *** Nature-inspired schemes address cooperation and alliance which can be used to ensure connectivity among network *** such species that resembles the dynamicity of FANETs are *** this paper,the biologically inspired metaheuristic technique of the BAT Algorithm is proposed to present a routing protocol called iBATCOOP(Improved BAT Algorithm using Cooperation technique).We opt for the design implementation of the natural posture of bats to handle the necessary flying ***,we envision the concept of cooperative diversity using multiple relays and present an iBAT-COOP routing protocol for *** paper employs cooperation for an optimal route selection and reflects on distance,Signal to Noise Ratio(SNR),and link conditions to an efficient level to deal with FANET’s *** way of simulations,the performance of iBAT-COOP protocol outperforms BAT-FANET protocol and reduces packet loss ratio,end-to-end delay,and transmission loss by 81%,21%,and 82%***,the average link duration is improved by 25%compared to the BAT-FANET protocol.

关键词： Routing protocols UAVs FANETs iBATCOOP BATCOOP

Cloud Data Encryption and Authentication Based on Enhanced Merkle Hash Tree Method

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Computers, Materials & Continua 2022年第7期72卷 519-534页

作者： J.Stanly Jayaprakash Kishore Balasubramanian Rossilawati Sulaiman mohammad kamrul hasan B.D.Parameshachari Celestine Iwendi Department of CSE Mahendra Institute of TechnologyNamakkal637503India Department of EEE Dr.Mahalingam College of Engineering and TechnologyPollachi642003India Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600BangiMalaysia Department of Telecommunication Engineering GSSS Institute of Engineering and Technology for WomenMysuruIndia School of Creative Technologies University of BoltonDeane RoadBoltonUnited Kingdom

Many organizations apply cloud computing to store and effectively process data for various *** user uploads the data in the cloud has less security due to the unreliable verification process of data *** this research,an enhanced Merkle hash tree method of effective authentication model is proposed in the multi-owner cloud to increase the security of the cloud *** Hash tree applies the leaf nodes with a hash tag and the non-leaf node contains the table of hash information of child to encrypt the large *** Hash tree provides the efficient mapping of data and easily identifies the changesmade in the data due to proper *** developed model supports privacy-preserving public auditing to provide a secure cloud storage *** data owners upload the data in the cloud and edit the data using the private *** enhanced Merkle hash tree method stores the data in the cloud server and splits it into *** data files requested by the data owner are audit by a third-party auditor and the multiowner authentication method is applied during the modification process to authenticate the *** result shows that the proposed method reduces the encryption and decryption time for cloud data storage by 2–167 ms when compared to the existing Advanced Encryption Standard and Blowfish.

关键词： Cloud computing cloud data storage cloud service provider merkle hash tree multi-owner authentication third-party auditor

IoMT-Enabled Fusion-Based Model to Predict Posture for Smart Healthcare Systems

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Computers, Materials & Continua 2022年第5期71卷 2579-2597页

作者： Taher M.Ghazal mohammad kamrul hasan Siti Norul Huda Abdullah Khairul Azmi Abubakkar Mohammed A.M.Afifi Faculty of Information Science and Technology University Kebangsaan MalaysiaUKM43600SelangorMalaysia Skyline University College SharjahUnited Arab Emirates

Smart healthcare applications depend on data from wearable sensors(WSs)mounted on a patient’s body for frequent monitoring *** systems depend on multi-level data for detecting illnesses and consequently delivering correct diagnostic *** collection of WS data and integration of that data for diagnostic purposes is a difficult *** paper proposes an Errorless Data Fusion(EDF)approach to increase posture recognition *** research is based on a case study in a health *** the rise in smart healthcare systems,WS data fusion necessitates careful attention to provide sensitive analysis of the recognized *** a result,it is dependent on WS inputs and performs group analysis at a similar rate to improve diagnostic *** breakdowns,the constant time factor,aggregation,and analysis results all cause errors,resulting in rejected or incorrect *** paper resolves this problem by using EDF,which is related to patient situational discovery through healthcare surveillance *** of WS data are examined extensively using active and iterative learning to identify errors in specific *** technology improves position detection accuracy,analysis duration,and error rate,regardless of user *** devices play a critical role in the management and treatment of *** can ensure that patients are provided with a unique treatment for their medical *** paper discusses the EDF technique for optimizing posture identification accuracy through multi-feature *** first,the patients’walking patterns are tracked at various time *** characteristics are then evaluated in relation to the stored data using a random forest classifier.

关键词： Data fusion(DF) posture recognition healthcare systems(HCS) wearable sensor(WS) medical data errorless data fusion(EDF)

Preserving Privacy of User Identity Based on Pseudonym Variable in 5G

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Computers, Materials & Continua 2022年第3期70卷 5551-5568页

作者： Mamoon M.Saeed mohammad kamrul hasan Rosilah Hassan Rania Mokhtar Rashid A.Saeed Elsadig Saeid Manoj Gupta Electrical Engineering Department Faculty of EngineeringAlzaiem Alazahri UniversityKhartoumSudan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti KebangsaanMalaysia(UKM)43600BangiMalaysia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityPO Box 11099Taif21944Saudi Arabia Department of Electronics Engineering College of EngineeringSudan University of Science and TechnologyKhartoumSudan Department of Electronics and Communication Engineering JECRC UniversityJaipurIndia

The fifth generation(5G)system is the forthcoming generation of the mobile communication *** has numerous additional features and offers an extensively high data rate,more capacity,and low ***,these features and applications have many problems and issues in terms of security,which has become a great challenge in the telecommunication *** paper aimed to propose a solution to preserve the user identity privacy in the 5G system that can identify permanent identity by using Variable Mobile Subscriber Identity,which randomly changes and does not use the permanent identity between the user equipment and home *** this mechanism,the user identity privacy would be secured and ***,it improves the synchronization between mobile users and home ***,its compliance with the Authentication and Key Agreement(AKA)structure was adopted in the previous *** can be deployed efficiently in the preceding generations because the current architecture imposes minimal modifications on the network parties without changes in the authentication vector’s message ***,the addition of any hardware to the AKA carries minor adjustments on the network *** this paper,the ProVerif is used to verify the proposed scheme.

关键词： 5G privacy and security user identity IMSI authentication and key agreement(AKA)

Hep-Pred: Hepatitis C Staging Prediction Using Fine Gaussian SVM

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Computers, Materials & Continua 2021年第10期69卷 191-203页

作者： Taher M.Ghazal Marrium Anam mohammad kamrul hasan Muzammil Hussain Muhammad Sajid Farooq Hafiz Muhammad Ammar Ali Munir Ahmad Tariq Rahim Soomro Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)Bangi43600SelangorMalaysia School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan CCSIS Institute of Business ManagementKarachi75190SindhPakistan

Hepatitis C is a contagious blood-borne infection,and it is mostly asymptomatic during the initial ***,it is difficult to diagnose and treat patients in the early stages of *** disease’s progression to its last stages makes diagnosis and treatment more *** this study,an AI system based on machine learning algorithms is presented to help healthcare professionals with an early diagnosis of hepatitis *** dataset used for our Hep-Pred model is based on a literature study,and includes the records of 1385 patients infected with the hepatitis C *** in this dataset received treatment dosages for the hepatitis C virus for about 18 months.A former study divided the disease into four main *** stages have proven helpful for doctors to analyze the liver’s *** traditional way to check the staging is the biopsy,which is a painful and time-consuming *** article aims to provide an effective and efficient approach to predict hepatitis C *** this purpose,the proposed technique uses a fine Gaussian SVM learning algorithm,providing 97.9%accurate results.

关键词： Hepatitis C artificial intelligence Hep-Pred support vector machine machine learning hepatitis staging

Picture Fuzzy Relations over Picture Fuzzy Sets

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American Journal of Computational Mathematics 2023年第1期13卷 161-184页

作者： mohammad kamrul hasan Abeda Sultana Nirmal Kanti Mitra Department of Mathematics Jahangirnagar University Savar Bangladesh Department of Mathematics and Statistics Bangladesh University of Business and Technology Dhaka Bangladesh

Nowadays, picture fuzzy set theory is a flourishing field in mathematics with uncertainty by incorporating the concept of positive, negative and neutral membership degrees of an object. A traditional crisp relation represents the satisfaction or the dissatisfaction of relationship, connection or correspondence between the objects of two or more sets. However, there are some problems that can’t be solved through classical relationships, such as the relationship between two objects being vague. In those situations, picture fuzzy relation over picture fuzzy sets is an important and powerful concept which is suitable for describing correspondences between two vague objects. It represents the strength of association of the elements of picture fuzzy sets. It plays an important role in picture fuzzy modeling, inference and control system and also has important applications in relational databases, approximate reasoning, preference modeling, medical diagnosis, etc. In this article, we define picture fuzzy relations over picture fuzzy sets, including some other fundamental definitions with illustrations. The max-min and min-max compositions of picture fuzzy relations are defined in the light of picture fuzzy sets and discussed some properties related to them. The reflexivity, symmetry and transitivity of a picture fuzzy relation are described over a picture fuzzy set. Finally, various properties are explored related to the picture fuzzy relations over a picture fuzzy set.

关键词： Picture Fuzzy Sets Picture Fuzzy Relations Picture Fuzzy Binary Rela-tions Composition of Picture Fuzzy Relations

Alzheimer Disease Detection Empowered with Transfer Learning

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Computers, Materials & Continua 2022年第3期70卷 5005-5019页

作者： Taher M.Ghazal Sagheer Abbas Sundus Munir M.A.Khan Munir Ahmad Ghassan F.Issa Syeda Binish Zahra Muhammad Adnan Khan mohammad kamrul hasan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600 BangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea

Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called *** people die due to this disease every year because this is not curable but early detection of this disease can help restrain the ***’s ismost common in elderly people in the age bracket of 65 and *** automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer *** learning and machine learning techniques are used to solvemanymedical problems like *** proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(MD),Moderate demented(MOD),Non-demented(ND),Very mild demented(VMD).Simulation results have shown that the proposed systemmodel gives 91.70%*** also observed that the proposed system gives more accurate results as compared to previous approaches.

关键词： Convolutional neural network(CNN) alzheimer’s disease(AD) medical resonance imagining mild demented