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A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification

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Computers, Materials & Continua 2023年第12期77卷 3969-3992页

作者： Naeem Ullah Javed Ali Khan sultan Almakdi mohammed s.alshehri Mimonah Al Qathrady Eman Abdullah Aldakheel Doaa sami Khafaga Department of software Engineering University of Engineering and TechnologyTaxila4400Pakistan Department of Computer science Faculty of PhysicsEngineeringand Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Departments of Information systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Tomato leaf diseases significantly impact crop production,necessitating early detection for sustainable *** Learning(DL)has recently shown excellent results in identifying and classifying tomato leaf ***,current DL methods often require substantial computational resources,hindering their application on resource-constrained *** propose the Deep Tomato Detection Network(DTomatoDNet),a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome *** Convn kernels used in the proposed(DTomatoDNet)framework is 1×1,which reduces the number of parameters and helps in more detailed and descriptive feature extraction for *** proposed DTomatoDNet model is trained from scratch to determine the classification success rate.10,000 tomato leaf images(1000 images per class)from the publicly accessible dataset,covering one healthy category and nine disease categories,are utilized in training the proposed DTomatoDNet *** specifically,we classified tomato leaf images into Target spot(Ts),Early Blight(EB),Late Blight(LB),Bacterial spot(Bs),Leaf Mold(LM),Tomato Yellow Leaf Curl Virus(YLCV),septoria Leaf spot(sLs),spider Mites(sM),Tomato Mosaic Virus(MV),and Tomato Healthy(H).The proposed DTomatoDNet approach obtains a classification accuracy of 99.34%,demonstrating excellent accuracy in differentiating between tomato *** model could be used on mobile platforms because it is lightweight and designed with fewer *** farmers can utilize the proposed DTomatoDNet methodology to detect disease more quickly and easily once it has been integrated into mobile platforms by developing a mobile application.

关键词： CNN deep learning DTomatoDNet tomato leaf disease classification smart agriculture

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

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

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

Web security:Emerging Threats and Defense

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Computer systems science & Engineering 2022年第3期40卷 1233-1248页

作者： Abdulwahed Awad Almutairi 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

Web applications have become a widely accepted method to support the internet for the past *** they have been successfully installed in the business activities and there is a requirement of advanced functionalities,the configuration is growing and becoming more *** growing demand and complexity also make these web applications a preferred target for intruders on the *** with the support of security specialists,they remain highly problematic for the complexity of penetration and code reviewing *** requires considering different testing patterns in both codes reviewing and penetration *** a result,the number of hacked websites is increasing day by *** of these vulnerabilities also occur due to incorrect input validation and lack of result validation for lousy programming practices or coding *** scanners for web applications can detect a few vulnerabilities in a dynamic *** are quite easy to use;however,these often miss out on some of the unique critical vulnerabilities in a different and static *** these are time-consuming,they can find complex vulnerabilities and improve developer knowledge in coding and best *** scanners choose both dynamic and static approaches,and the developers can select them based on their requirements and *** research explores and provides details of sQL injection,operating system command injection,path traversal,and cross-site scripting vulnerabilities through dynamic and static *** also examines various security measures in web applications and selected five tools based on their features for scanning PHP,and JAVA code focuses on sQL injection,cross-site scripting,Path Traversal,operating system ***,this research discusses the approach of a cyber-security tester or a security developer finding out vulnerabilities through dynamic and static approaches using manual and automated web vulnerability scanners.

关键词： sQL injection attack cross-site scripting attack command injection attack path traversal attack

Motion-Based Activities Monitoring through Biometric sensors Using Genetic Algorithm

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Computers, Materials & Continua 2021年第3期66卷 2525-2538页

作者： mohammed alshehri Purushottam sharma Richa sharma Osama Alfarraj Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia AsET Amity University NoidaNoida201301India Computer science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

sensors and physical activity evaluation are quite limited for motionbased commercial *** the accelerometer of the smartwatch is utilized;walking is *** combination can perform better in terms of sensors and that can be determined by sensors on both the smartwatch and phones,i.e.,accelerometer and *** biometric efficiency,some of the diverse activities of daily routine have been evaluated,also with biometric *** result shows that using the different computing techniques in phones and watch for biometric can provide a suitable output based on the mentioned *** indicates that the high feasibility and results of continuous biometrics analysis in terms of average daily routine *** this research,the set of rules with the real-valued attributes are evolved with the use of a genetic *** the help of real value genes,the real value attributes cab be encoded,and presentation of new methods which are represents not to cares in the *** rule sets which help in maximizing the number of accurate classifications of inputs and supervise classifications are viewed as an optimization *** use of Pitt approach to the ML(Machine Learning)and Genetic based system that includes a resolution mechanism among rules that are competing within the same rule sets is *** enhances the efficiency of the overall system,as shown in the research.

关键词： Genetic algorithms biometrics data mining sensors smartphone smartwatch

self-Management of Low Back Pain Using Neural Network

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Computers, Materials & Continua 2021年第1期66卷 885-901页

作者： Purushottam sharma mohammed alshehri Richa sharma Osama Alfarraj AsET Amity University Uttar PradeshNoida201301India Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Computer science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

Low back pain(LBP)is a morbid condition that has afflicted several citizens in *** has negatively impacted the European economy due to several man-days lost,with bed rest and forced inactivity being the usual LBP care and management *** models,which incorporate various regression analyses,have been executed for the investigation of this premise due to the simplicity of ***,such straight models fail to completely consider the impact of association brought about by a mix of nonlinear connections and autonomous *** this paper,we discuss a system that aids decision-making regarding the best-suited support system for LBP,allowing the individual to avail of reinforcement and improvement in its *** activities are monitored with the help of a wearable sensor that helps in their detection and their classification as those that soothe or aggravate LBP and hence,should or should not be *** system helps the patients set their own boundaries and milestones with respect to suitable *** system also does windowing and feature *** present study is an empirical and comparative analysis of the most suitable activities that patients suffering from low back pain can *** evaluation shows that the system can distinguish between nine common daily activities effectively and helps self-monitor these activities for the efficient management of LBP.

关键词： Low back pain neural networks sensor classification time series

Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics

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Computer systems science & Engineering 2023年第2期44卷 1679-1689页

作者： Abdullah alshehri Nayeem Khan Ali Alowayr mohammed Yahya Alghamdi Information Technology Department Faculty of Computer Science and Information TechnologyAl Baha UniversityAl Baha65799Saudi Arabia Computer science Department Faculty of Science and Arts at BuljurashiAl Baha UniversityAl Baha65799Saudi Arabia

This paper proposes a novel framework to detect cyber-attacks using Machine Learning coupled with User Behavior *** framework models the user behavior as sequences of events representing the user activities at such a *** represented sequences are thenﬁtted into a recurrent neural network model to extract features that draw distinctive behavior for individual ***,the model can recognize frequencies of regular behavior to proﬁle the user manner in the *** subsequent procedure is that the recurrent neural network would detect abnormal behavior by classifying unknown behavior to either regu-lar or irregular *** importance of the proposed framework is due to the increase of cyber-attacks especially when the attack is triggered from such sources inside the *** detecting inside attacks are much more challenging in that the security protocols can barely recognize attacks from trustful resources at the network,including ***,the user behavior can be extracted and ultimately learned to recognize insightful patterns in which the regular patterns reﬂect a normal network workﬂ*** contrast,the irregular patterns can trigger an alert for a potential *** framework has been fully described where the evaluation metrics have also been *** experimental results show that the approach performed better compared to other approaches and AUC 0.97 was achieved using RNN-LsTM *** paper has been concluded with pro-viding the potential directions for future improvements.

关键词： Cybersecurity deep learning machine learning user behavior analytics

Identity Governance Framework for Privileged Users

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Computer systems science & Engineering 2022年第3期40卷 995-1005页

作者： Mansour Hammoud Alruwies shailendra Mishra mohammed Abdul Rahman alshehri Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia

Information technology companies have grown in size and recognized the need to protect their valuable *** a result,each IT application has its authentication mechanism,and an employee needs a username and *** the number of applications increased,as a result,it became increasingly complex to manage all identities like the number of usernames and passwords of an *** identities had to be retrieved by *** the identities and the access rights associated with those identities had to be protected by an *** couldn’t even capture such access rights because they couldn’t verify things like privacy and *** management can help solve this *** concept behind identity management is to centralize identity management and manage access identity centrally rather than multiple applications with their authentication and authorization *** this research work,we develop governance and an identity management framework for information and technology infrastructures with privileged access management,consisting of cybersecurity policies and *** results show the efficiency of the framework compared to the existing information security *** integrated identity and access management and privileged access management enable organizations to respond to incidents and facilitate *** can automate use cases that manage privileged accounts in the real world.

关键词： Privileged access management(PAM) lightweight directory access protocol(LDAP) identity management access control cyber-attack