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Optimizing Optical Fiber Faults Detection:A Comparative Analysis of Advanced Machine Learning Approaches

Computers, Materials & Continua 2024年第5期79卷 2697-2721页

作者： Kamlesh Kumar Soothar Yuanxiang Chen arif hussain magsi Cong Hu hussain Shah School of Electronics Engineering Beijing University of Posts and TelecommunicationsBeijing100876China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an710071China State Key Laboratory ofNetworking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China

Efficient optical network management poses significant importance in backhaul and access network communicationfor preventing service disruptions and ensuring Quality of Service(QoS)*** emerging faultsin optical networks introduce challenges that can jeopardize the network with a variety of *** existingliterature witnessed various partial or inadequate *** the other hand,Machine Learning(ML)hasrevolutionized as a promising technique for fault detection and *** traditional fault managementsystems,this research has three-fold ***,this research leverages the ML and Deep Learning(DL)multi-classification system and evaluates their accuracy in detecting six distinct fault types,including fiber cut,fibereavesdropping,splicing,bad connector,bending,and PC ***,this paper assesses the classificationdelay of each classification ***,this work proposes a fiber optics fault prevention algorithm thatdetermines to mitigate the faults *** work utilized a publicly available fiber optics dataset namedOTDR_Data and applied different ML classifiers,such as Gaussian Naive Bayes(GNB),Logistic Regression(LR),Support Vector Machine(SVM),K-Nearest Neighbor(KNN),Random Forest(RF),and Decision Tree(DT).Moreover,Ensemble Learning(EL)techniques are applied to evaluate the accuracy of various *** addition,this work evaluated the performance of DL-based Convolutional Neural Network and Long-Short Term Memory(CNN-LSTM)hybrid *** findings reveal that the CNN-LSTM hybrid technique achieved the highestaccuracy of 99%with a delay of 360 *** the other hand,EL techniques improved the accuracy in detecting fiberoptic ***,this research comprehensively assesses accuracy and delay metrics for various classifiers andproposes the most efficient attack detection system in fiber optics.

关键词： Fiber optics fault detection multiclassification machine learning ensemble learning

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Push-Based Content Dissemination and Machine Learning-Oriented Illusion Attack Detection in Vehicular Named Data Networking

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Computers, Materials & Continua 2023年第9期76卷 3131-3150页

作者： arif hussain magsi Ghulam Muhammad Sajida Karim Saifullah Memon Zulfiqar Ali State Key Laboratory ofNetworking and Switching Technology Beijing University of Post and TelecommunicationBeijing100876China Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia School of Computer Science and Technology Harbin Institute of TechnologyHarbin150001China School of Computer Science and Electronic Engineering University of EssexColchesterCO43SQUK

Recent advancements in the Vehicular Ad-hoc Network(VANET)have tremendously addressed road-related ***,Named Data Networking(NDN)in VANET has emerged as a vital technology due to its outstanding ***,the NDN communication framework fails to address two important *** current NDN employs a pull-based content retrieval network,which is inefficient in disseminating crucial content in Vehicular Named Data Networking(VNDN).Additionally,VNDN is vulnerable to illusion attackers due to the administrative-less network of autonomous *** various solutions have been proposed for detecting vehicles’behavior,they inadequately addressed the challenges specific to *** deal with these two issues,we propose a novel push-based crucial content dissemination scheme that extends the scope of VNDN from pullbased content retrieval to a push-based content forwarding *** addition,we exploitMachine Learning(ML)techniques within VNDN to detect the behavior of vehicles and classify them as attackers or *** trained and tested our system on the publicly accessible dataset Vehicular Reference Misbehavior(VeReMi).We employed fiveML classification algorithms and constructed the bestmodel for illusion attack *** results indicate that RandomForest(RF)achieved excellent accuracy in detecting all illusion attack types in VeReMi,with an accuracy rate of 100%for type 1 and type 2,96%for type 4 and type 16,and 95%for type ***,RF can effectively evaluate the behavior of vehicles and identify attacker vehicles with high *** ultimate goal of our research is to improve content exchange and ***,ourML-based attack detection and preventionmechanismensures trustworthy content dissemination and prevents attacker vehicles from sharing misleading information in VNDN.

关键词： Named data networking vehicular networks pull-push illusion attack machine learning

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Developing Transparent IDS for VANETs Using LIME and SHAP:An Empirical Study

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Computers, Materials & Continua 2023年第12期77卷 3185-3208页

作者： Fayaz Hassan Jianguo Yu Zafi Sherhan Syed arif hussain magsi Nadeem Ahmed Beijing Key Laboratory of Work Safety Intelligent Monitoring School of Electronic EngineeringBeijing University of Post and TelecommunicationBeijing100876China Department of Telecommunication Engineering Mehran University of Engineering and TechnologyJamshoro76062Pakistan State Key Laboratory of Networking and Switching Technology Beijing University of Post and TelecommunicationBeijing100876China School of Electronic Science Beijing University of Post and TelecommunicationBeijing100876China

Vehicular Ad-hoc Networks(VANETs)are mobile ad-hoc networks that use vehicles as nodes to create a wireless *** VANETs offer many advantages over traditional transportation networks,ensuring security in VANETs remains a significant challenge due to the potential for malicious *** study addresses the critical issue of security in VANETs by introducing an intelligent Intrusion Detection System(IDS)that merges Machine Learning(ML)–based attack detection with Explainable AI(XAI)*** study ML pipeline involves utilizing correlation-based feature selection followed by a Random Forest(RF)classifier that achieves a classification accuracy of 100%for the binary classification task of identifying normal and malicious *** innovative aspect of this study is the incorporation of XAI methodologies,specifically the Local Interpretable Model-agnostic Explanations(LIME)and SHapley Additive exPlanations(SHAP).In addition,this research also considered key features identified by mutual information-based feature selection for the task at *** major findings from this study reveal that the XAI-based intrusion detection methods offer distinct insights into feature *** features identified by mutual information,LIME,and SHAP predominantly relate to Transmission Control Protocol(TCP),Hypertext Transfer Protocol(HTTP),Domain Name System(DNS),and Message Queuing Telemetry Transport(MQTT)protocols,highlighting their significance in distinguishing normal and malicious network *** XAI approach equips cybersecurity experts with a robust means of identifying and understanding VANET malicious activities,forming a foundation for more effective security countermeasures.

关键词： Intrusion detection system machine learning security vehicular networks

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A Machine Learning-Based Attack Detection and Prevention System in Vehicular Named Data Networking

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Computers, Materials & Continua 2023年第11期77卷 1445-1465页

作者： arif hussain magsi Ali Ghulam Saifullah Memon Khalid Javeed Musaed Alhussein Imad Rida State Key Laboratory of Networking and Switching Technology Beijing University of Post and TelecommunicationBeijing100876China Information Technology Center Sindh Agriculture UniversityTandojam70050Pakistan Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirate Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Laboratory Biomechanics and Bioengineering University of Technology of CompiegneCompiegne60200France

Named Data Networking(NDN)is gaining a significant attention in Vehicular Ad-hoc Networks(VANET)due to its in-network content caching,name-based routing,and mobility-supporting ***,existing NDN faces three significant challenges,including security,privacy,and *** particular,security attacks,such as Content Poisoning Attacks(CPA),can jeopardize legitimate vehicles with malicious *** instance,attacker host vehicles can serve consumers with invalid information,which has dire consequences,including road *** such a situation,trust in the content-providing vehicles brings a new *** the other hand,ensuring privacy and preventing unauthorized access in vehicular(VNDN)is another ***,NDN’s pull-based content retrieval mechanism is inefficient for delivering emergency messages in *** this connection,our contribution is *** existing rule-based reputation evaluation,we propose a Machine Learning(ML)-based reputation evaluation mechanism that identifies CPA attackers and legitimate *** on ML evaluation results,vehicles accept or discard served ***,we exploit a decentralized blockchain system to ensure vehicles’privacy by maintaining their information in a secure digital ***,we improve the default routing mechanism of VNDN from pull to a push-based content dissemination using Publish-Subscribe(Pub-Sub)*** implemented and evaluated our ML-based classification model on a publicly accessible BurST-Asutralian dataset for Misbehavior Detection(BurST-ADMA).We used five(05)hybrid ML classifiers,including Logistic Regression,Decision Tree,K-Nearest Neighbors,Random Forest,and Gaussian Naive *** qualitative results indicate that Random Forest has achieved the highest average accuracy rate of 100%.Our proposed research offers the most accurate solution to detect CPA in VNDN for safe,secure,and reliable vehicle communication.

关键词： Named data networking vehicular networks reputation caching machine-learning

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Change in internal energy of thermal diffusion stagnation point Maxwell nanofluid flow along with solar radiation and thermal conductivity

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Chinese Journal of Chemical Engineering 2019年第10期27卷 2352-2358页

作者： Mair Khan TSalahuddin ATanveer MYMalik arif hussain Department of Mathematics Quaid-i-Azam UniversityIslamabad 44000Pakistan Department of Mathematics Mirpur University of Science and TechnologyMirpur 10250Pakistan 3 Department of MathematicsCollege of SciencesKing Khalid UniversityAbha 61413Saudi Arabia

This paper concerns the characteristics of heat and mass transfer in upper convected Maxwell fluid flow over a linear stretching sheet with solar radiation,viscous desperation and temperature based *** boundary layer approximation,the governing equations are achieved(namely Maxwell,upper convected material derivative,thermal and concentration diffusions).By using the self-similarity transformations the governing PDEs are converted into nonlinear ODEs and solved by RK-4 method in combination with Newton Raphson(shooting technique).The effects of developed parameters on velocity,temperature,concentration,fraction factor,heat and mass diffusions are exemplified through graphs and tabular form and are deliberated in *** values of fraction factor,heat and mass transfer rates with several parameters are computed and *** is noticed that the temperature is more impactable for higher values of radiative heat transport,thermal conductivity and viscous *** comparison data for some limiting case are acquired and are originated to be in good agreement with previously published articles.

关键词： Maxwell nanofluid Viscous dissipation Solar radiation Variable viscosity Thermal conductivity Chemical reaction Stagnation point Shooting method

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Invariant of Enhanced AES Algorithm Implementations Against Power Analysis Attacks

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Computers, Materials & Continua 2022年第7期72卷 1861-1875页

作者： Nadia Mustaqim Ansari Rashid hussain Sheeraz arif Syed Sajjad hussain Department of Electronic Engineering Dawood University of Engineering&TechnologyKarachiPakistan Faculty of Engineering Sciences and Technology Hamdard UniversityKarachiPakistan Faculty of Information Technology Salim Habib UniversityKarachiPakistan Faculty of Computer Sciences SZABISTKarachiPakistan

The security of Internet of Things(IoT)is a challenging task for researchers due to plethora of IoT *** Channel Attacks(SCA)are one of the major *** prime objective of SCA is to acquire the information by observing the power consumption,electromagnetic(EM)field,timing analysis,and acoustics of the ***,the attackers perform statistical functions to recover the *** Encryption Standard(AES)algorithm has proved to be a good security solution for constrained IoT *** paper implements a simulation model which is used to modify theAES algorithm using logicalmasking *** invariant of the AES algorithm hides the array of bits during substitution byte transformation of *** model is used against SCAand particularly Power Analysis Attacks(PAAs).Simulation model is designed on MATLAB *** will give better solution by hiding power profiles of the IoT devices against *** future,the lightweight AES algorithm with false key mechanisms and power reduction techniques such as wave dynamic differential logic(WDDL)will be used to safeguard IoT devices against side channel attacks by using Arduino and field programmable gate array(FPGA).

关键词： Side channel attacks power analysis attacks network security masking advance encryption standard

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Suppression of methane formation during Fisher-Tropsch synthesis using manganese-cobalt oxide supported on H-5A zeolite as a catalyst

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Journal of Natural Gas Chemistry 2009年第2期18卷 187-190页

作者： Syed Tajammul hussain Muhammad Mazhar Muhammad arif Nadeem National Centre for Physics Quaid-i-Azam UniversityIslamabad 43520 Pakistan Department of Chemistry Quaid-i-Azam UniversityIslamabad 43520 Pakistan

In Fischer-Tropsch synthesis reaction, methane formation is one of the side reactions which must be suppressed in order to get better catalytic selectivity for light olefins. In the present study, we have modified cobalt based Fischer-Tropsch catalyst and developed a process to minimize methane production, consequently to produce maximum yield of light olefins. Manganese-cobalt oxide supported on H-5A zeolite catalyst was synthesized using modified H-5A zeolite, to increase its surface acid sites. Increased acidity of zeolite plays a major part in the suppression of methane formation during the Fischer-Tropsch reaction. The modified zeolite results in the electronic modification of catalyst surface by creating new active catalytic sites. The results are compared with other supported catalysts along with unmodified zeolite. Appreciable reduction in methane formation is achieved on modified zeolite supported catalyst in comparison with unsupported catalyst.

关键词： methane formation Fisher-Tropsch synthesis manganese cobalt suppression

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Phytopharmacological potential of different species of Morus alba and their bioactive phytochemicals:A review

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Asian Pacific Journal of Tropical Biomedicine 2017年第10期7卷 950-956页

作者： Fahad hussain Zohaib Rana Hassan Shafique arif Malik Zahid hussain Institute of Molecular Biology and Biotechnology(IMBB) The University of LahoreRaiwind Road55150LahorePakistan Department of Pharmaceutics Faculty of PharmacyUniversiti Teknologi MARAPuncak Alam CampusBandar Puncak Alam42300SelangorMalaysia

Medicinal plants of Moraceae family have been well-recognized traditionally due to their versatile applications in various fields including agriculture, cosmetic and food as well as in pharmaceutical industries. Their biomedical and medicinal importance is reflected from their broad range of pharmacological activities for treatment of various inflammatory conditions, cancer, infectious diseases, and gastrointestinal disorders. The present review was aimed to summarize and critically discuss the biomedical implications of Morus species, their bioactive compounds, and phytochemicals. Bioactivity guided fractionation of these medicinal plants revealed that different types of bioactive phytochemicals and secondary metabolites such as steroids, saponins, alkaloids, glycosides and phenolic compounds including terpenoids, flavonoids, anthocyanins and tannins were present. The critical analysis of the literature revealed that the aqueous, methanolic, and ethanolic extracts of Morus species and their bioactive compounds exhibit remarkable anti-oxidative,anti-diabetic, anti-stress, nephroprotective, antimicrobial, anti-mutagenic, anticancer,anxiolytic, hepatoprotective, anthelmintic, antimicrobial, immune-modulatory and cholesterol lowering effects. Based on the literature review and bioactivity guided investigation of Morus species and their phytomedicinal effects, we anticipate that these herbal products hold excellent potential for future research.

关键词： Moraceae Phytochemicals Pharmacological activities Anti-inflammatory Immunomodulatory Anticancer

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Increasing Distance Increasing Bits Substitution (IDIBS) Algorithm for Implementation of VTVB Steganography

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Computer Modeling in Engineering & Sciences 2018年第10期117卷 1-16页

作者： Sahib Khan Arslan arif Syed Tahir hussain Rizvi Nasir Ahmad Department of Electronics and Telecommunications Politecnico di Torino10129 TorinoItaly DAUIN Politecnico di Torino10129 TorinoItaly Department of Electronic and Electrical Engineering Loughborough UniversityUnited Kingdom

Cryptography and steganography are two important and related fields of information ***,steganography is slightly different in the sense that it hides the existence of secret information from unauthorized *** is one of the most appealing research domains,have applications like copyright protection,data integrity protection and manipulation *** steganography techniques have been proposed in ***,in this work a new information hiding algorithm is *** proposed technique de-correlates frequency components of cover image using discrete cosine transform and uses the least significant bits of frequency components for hiding secret *** tech-nique hides variable number of bits of secret message in different frequency ***,it hides different amount of secret information in different regions of cover im-age and results in enhancement of *** algorithm has the flexibility to change the hiding capacity and quality of final stego *** has been observed from experimental results that a hiding a capacity from 3%to 43%can be achieved with significantly good quality of 41 dB to 37 dB in term of peak signal to noise *** successful recovery of the hidden information need the pattern,called stego key,in which is used in hiding *** algorithm provides twofold security;hiding keeps the existence of hidden information secret and the large key size makes the retrieval of hidden information difficult for intruders.

关键词： VTVB steganography image processing information security data hiding

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Multistage-batch bipolar membrane electrodialysis for base production from high-salinity wastewater

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Frontiers of Chemical Science and Engineering 2022年第5期16卷 764-773页

作者： arif hussain Haiyang Yan Noor Ul Afsar Chenxiao Jiang Yaoming Wang Tongwen Xu Department of Applied Chemistry Anhui Provincial Engineering Laboratory of Functional Membrane Science and TechnologySchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026China

Bipolar membrane electrodialysis(BMED)is considered a state-of-the-art technology for the conversion of salts into acids and ***,the low concentration of base generated from a traditional BMED process may limit the viability of this technology for a large-scale ***,we report an especially designed multistage-batch(two/three-stage-batch)BMED process to increase the base concentration by adjusting different volume ratios in the acid(Vacid),base(Vbase),and salt compartments(Vsalt).The findings indicated that performance of the two-stage-batch with a volume ratio of Vacid:Vbase:Vsalt=1:1:5 was superior in comparison to the threestage-batch with a volume ratio of Vacid:Vbase:Vsalt=1:1:***,the base concentration could be further increased by exchanging the acid produced in the acid compartment with fresh water in the second stage-batch *** the two-stage-batch BMED,the maximum concentration of the base can be obtained up to 3.40 mol∙L^(-1),which was higher than the most reported base production by *** low energy consumption and high current efficiency further authenticate that the designed process is reliable,cost-effective,and more productive to convert saline water into valuable industrial commodities.

关键词： bipolar membrane electrodialysis multistagebatch base production high-salinity wastewater

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