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A Hierarchical Trust Model for Peer-to-Peer Networks

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Computers, Materials & Continua 2019年第5期59卷 397-404页

作者： Nehal al-Otaiby heba Kurdi Shiroq al-Megren College of Computer and Information Science King Saud UniversityRiyadh 11642Saudi Arabia

Trust has become an increasingly important issue given society’s growing reliance on electronic ***-to-peer(P2P)networks are among the main electronic transaction environments affected by trust issues due to the freedom and anonymity of peers(users)and the inherent openness of these networks.A malicious peer can easily join a P2P network and abuse its peers and resources,resulting in a large-scale failure that might shut down the entire ***,a plethora of researchers have proposed trust management systems to mitigate the impact of the ***,due to the problem’s scale and complexity,more research is *** algorithm proposed here,HierarchTrust,attempts to create a more reliable environment in which the selection of a peer provider of a file or other resource is based on several trust values represented in hierarchical *** values at the top of the hierarchical form are more trusted than those at the lower end of the ***,in HierarchTrust,is generally calculated based on the standard *** via simulation showed that HierarchTrust produced a better success rate than the well-established EigenTrust algorithm.

关键词： Peer-to-peer network trust management reputation malicious peers

A Credit-Based Approach for Overcoming Free-Riding Behaviour in Peer-to-Peer Networks

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Computers, Materials & Continua 2019年第4期59卷 15-29页

作者： Manal Hazazi Afnan almousa heba Kurdi Shiroq al-Megren Shada alsalamah College of Computer and Information Science King Saud UniversityRiyadh 11642Saudi Arabia Mechanical Engineering Department Massachusetts Institute of Technology(MIT)CambridgeMA 02139USA

The underlying premise of peer-to-peer(P2P)systems is the trading of digital resources among individual peers to facilitate file sharing,distributed computing,storage,collaborative applications and multimedia ***-called free-riders challenge the foundations of this system by consuming resources from other peers without offering any resources in return,hindering resource exchange among ***,immense effort has been invested in discouraging free-riding and overcoming the ill effects of such unfair use of the ***,previous efforts have all fallen short of effectively addressing free-riding behaviour in P2P *** paper proposes a novel approach based on utilising a credit incentive for P2P networks,wherein a grace period is introduced during which free-riders must reimburse *** contrast to previous approaches,the proposed system takes into consideration the upload rate of peers and a grace *** system has been thoroughly tested in a simulated environment,and the results show that the proposed approach effectively mitigates free-riding *** to previous systems,the number of downloads from free-riders decreased while downloads by contributing peers *** results also show that under longer grace periods,the number of downloads by fast peers(those reimbursing the system within the grace period)was greater than the number of downloads by slow peers.

关键词： Peer-to-peer network free-riding file sharing credit

Optimal Wavelet Neural Network-Based Intrusion Detection in Internet of Things Environment

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Computers, Materials & Continua 2023年第5期75卷 4467-4483页

作者： heba G.Mohamed Fadwa alrowais Mohammed Abdullah al-Hagery Mesfer al Duhayyim Anwer Mustafa Hilal Abdelwahed Motwakel Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box84428Riyadh 11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box84428Riyadh 11671Saudi Arabia Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

As the Internet of Things(IoT)endures to develop,a huge count of data has been *** IoT platform is rather sensitive to security challenges as individual data can be leaked,or sensor data could be used to cause *** typical intrusion detection system(IDS)studies can be frequently designed for working well on databases,it can be unknown if they intend to work well in altering network *** learning(ML)techniques are depicted to have a higher capacity at assisting mitigate an attack on IoT device and another edge system with reasonable *** article introduces a new Bird Swarm algorithm with Wavelet Neural Network for Intrusion Detection(BSAWNN-ID)in the IoT *** main intention of the BSAWNN-ID algorithm lies in detecting and classifying intrusions in the IoT *** BSAWNN-ID technique primarily designs a feature subset selection using the coyote optimization algorithm(FSS-COA)to attain ***,to detect intrusions,the WNN model is *** last,theWNNparameters are optimally modified by the use of *** experiment is performed to depict the better performance of the BSAWNNID *** resultant values indicated the better performance of the BSAWNN-ID technique over other models,with an accuracy of 99.64%on the UNSW-NB15 dataset.

关键词： Internet of things wavelet neural network security intrusion detection machine learning

COVID-19 pandemic and the cyberthreat landscape:Research challenges and opportunities

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Digital Communications and Networks 2023年第1期9卷 211-222页

作者： heba Saleous Muhusina Ismail Saleh HalDaajeh Nisha Madathil Saed alrabaee Kim-Kwang Raymond Choo Nabeel al-Qirim Information Systems and Security College of ITUnited Arab Emirates UniversityAl AinUnited Arab Emirates Department of Information Systems and Cyber Security The University of Texas at San AntonioSan AntonioTX78249USA College of Technological Innovations(CIT) Zayed UniversityUAE

although cyber technologies benefit our society,there are also some related cybersecurity *** example,cybercriminals may exploit vulnerabilities in people,processes,and technologies during trying times,such as the ongoing COVID-19 pandemic,to identify opportunities that target vulnerable individuals,organizations(e.g.,medical facilities),and *** this paper,we examine the various cyberthreats associated with the COVID-19 *** also determine the attack vectors and surfaces of ***,we will discuss and analyze the insights and suggestions generated by different cyberattacks against individuals,organizations,and systems.

关键词： COVID-19 Cyberattacks Security and privacy Mitigation Potential solutions

Entropy Bayesian Analysis for the Generalized Inverse Exponential Distribution Based on URRSS

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Computers, Materials & Continua 2021年第12期69卷 3795-3811页

作者： Amer I.al-Omari Amal S.Hassan heba F.Nagy Ayed R.A.al-Anzi Loai alzoubi Faculty of Science Department of MathematicsAl al-Bayt UniversityMafraq25113Jordan Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt Department of Mathematics College of Science and Human Studies at Hotat SudairMajmaah UniversityMajmaah11952Saudia Arabia

This paper deals with the Bayesian estimation of Shannon entropy for the generalized inverse exponential *** that the observed samples are taken from the upper record ranked set sampling(URRSS)and upper record values(URV)*** of Bayesian estimators are derived depending on a gamma prior distribution considering the squared error,linear exponential and precautionary loss functions,in addition,we obtain Bayesian credible *** random-walk Metropolis-Hastings algorithm is handled to generate Markov chain Monte Carlo samples from the posterior ***,the behavior of the estimates is examined at various record *** output of the study shows that the entropy Bayesian estimates under URRSS are more convenient than the other estimates under URV in the majority of the ***,the entropy Bayesian estimates perform well as the number of records *** obtained results validate the usefulness and efficiency of the URV *** data is analyzed for more clarifying purposes which validate the theoretical results.

关键词： Shannon entropy generalized inverse exponential distribution Bayesian estimators loss function ranked set sampling markov chain

Estimation of the Stress-Strength Reliability for Exponentiated Pareto Distribution Using Median and Ranked Set Sampling Methods

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Computers, Materials & Continua 2020年第8期64卷 835-857页

作者： Amer Ibrahim al-Omari Ibrahim M.almanjahie Amal S.Hassan heba F.Nagy Department of Mathematics Faculty of ScienceAl al-Bayt UniversityMafraq25113Jordan Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt

In reliability analysis,the stress-strength model is often used to describe the life of a component which has a random strength(X)and is subjected to a random stress(Y).In this paper,we considered the problem of estimating the reliability𝑅𝑅=P[Yalculated under simple random sample,ranked set sampling and median ranked set sampling *** different reliability estimators under median ranked set sampling are *** estimators are obtained when both strength and stress have an odd or an even set *** two other estimators are obtained when the strength has an odd size and the stress has an even set size and vice *** performances of the suggested estimators are compared with their competitors under simple random sample via a simulation *** simulation study revealed that the stress strength reliability estimates based on ranked set sampling and median ranked set sampling are more efficient than their competitors via simple random *** general,the stress strength reliability estimates based on median ranked set sampling are smaller than the corresponding estimates under ranked set sampling and simple random sample ***:Stress-Strength model,ranked set sampling,median ranked set sampling,maximum likelihood estimation,mean square *** estimates under ranked set sampling and simple random sample methods.

关键词： Stress-Strength model ranked set sampling median ranked set sampling maximum likelihood estimation mean square error

Smart Prediction for Seamless Mobility in F-HMIPv6 Based on Location Based Services

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China Communications 2018年第4期15卷 192-209页

作者： rawya rizk heba nashaat Electrical Engineering Department Port Said University Port Said 42523 Egyp

This paper proposed a new scheme for smooth handoff over F-HMIPv6 networks based on Location Based Services(LBS). It uses the available information about mobile node(MN) such as user mobility patterns and MN's velocity to reduce handoff latency. In the proposed scheme, the movement pattern of users plays an important role in the performance analysis. The proposed scheme develops LBS that records a number of mobility patterns based on user daily behavior, and exploits these information to reduce the handoff latency. The proposed scheme is analyzed and compared with F-HMIPv6 protocol. The results show that it improves the performance in terms of handoff latency, packet delivery cost, and location update cost. Specifically, the proposed scheme achieves the tradeoff between realizing a smooth handoff and minimizing the cost that is the demand for all customers of mobile services.

关键词： Cost functions F-HMIPv6 loca-tion based services macro handoff mobilitymanagement mobility prediction.

Automated Autism Spectral Disorder Classification Using Optimal Machine Learning Model

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Computers, Materials & Continua 2023年第3期74卷 5251-5265页

作者： Hanan Abdullah Mengash Hamed alqahtani Mohammed Maray Mohamed K.Nour Radwa Marzouk Mohammed Abdullah al-Hagery heba Mohsen Mesfer al Duhayyim Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer ScienceCenter of Artificial Intelligence and Unit of CybersecurityKing Khalid UniversityAbhaSaudi Arabia Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Autism Spectrum Disorder (ASD) refers to a neuro-disorder wherean individual has long-lasting effects on communication and interaction *** information technologywhich employs artificial intelligence(AI) model has assisted in early identify ASD by using pattern *** advances of AI models assist in the automated identification andclassification of ASD, which helps to reduce the severity of the *** study introduces an automated ASD classification using owl searchalgorithm with machine learning (ASDC-OSAML) model. The proposedASDC-OSAML model majorly focuses on the identification and classificationof ASD. To attain this, the presentedASDC-OSAML model follows minmaxnormalization approach as a pre-processing stage. Next, the owl searchalgorithm (OSA)-based feature selection (OSA-FS) model is used to derivefeature subsets. Then, beetle swarm antenna search (BSAS) algorithm withIterative Dichotomiser 3 (ID3) classification method was implied for ASDdetection and classification. The design of BSAS algorithm helps to determinethe parameter values of the ID3 classifier. The performance analysis of theASDC-OSAML model is performed using benchmark dataset. An extensivecomparison study highlighted the supremacy of the ASDC-OSAML modelover recent state of art approaches.

关键词： Autism spectral disorder machine learning owl search algorithm feature selection id3 classifier

Coati Optimization-Based Energy Efficient Routing Protocol for Unmanned Aerial Vehicle Communication

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Computers, Materials & Continua 2023年第6期75卷 4805-4820页

作者： Hanan Abdullah Mengash Hamed alqahtani Mohammed Maray Mohamed K.Nour Radwa Marzouk Mohammed Abdullah al-Hagery heba Mohsen Mesfer al Duhayyim Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer ScienceCenter of Artificial Intelligence and Unit of CybersecurityKing Khalid UniversityAbha62529Saudi Arabia Department of Information Systems College of Computer ScienceKing Khalid UniversityAbha62529Saudi Arabia Department of Computer Sciences College of Computing and Information SystemsUmm Al-Qura UniversityMecca24382Saudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydah52571Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

With the flexible deployment and high mobility of Unmanned Aerial Vehicles(UAVs)in an open environment,they have generated con-siderable attention in military and civil applications intending to enable ubiquitous connectivity and foster agile *** difficulty stems from features other than mobile ad-hoc network(MANET),namely aerial mobility in three-dimensional space and often changing *** the UAV network,a single node serves as a forwarding,transmitting,and receiving node at the same ***,the communication path is multi-hop,and routing significantly affects the network’s performance.A lot of effort should be invested in performance analysis for selecting the optimum routing *** this motivation,this study modelled a new Coati Optimization algorithm-based Energy-Efficient Routing Process for Unmanned Aerial Vehicle Communication(COAER-UAVC)*** presented COAER-UAVC technique establishes effective routes for communication between the *** is primarily based on the coati characteristics in nature:if attacking and hunting iguanas and escaping from ***,the presented COAER-UAVC technique concentrates on the design of fitness functions to minimize energy utilization and communication delay.A varied group of simulations was performed to depict the optimum performance of the COAER-UAVC *** experimental results verified that the COAER-UAVC technique had assured improved performance over other approaches.

关键词： Artificial intelligence unmanned aerial vehicle data communication routing protocol energy efficiency