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Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics

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

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Gamma irradiation-induced effects on the properties of TiO_2 on fluorine-doped tin oxide prepared by atomic layer deposition

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Nuclear Science and Techniques 2018年第7期29卷 191-197页

作者： Syed Mansoor ali M.S.Algarawi turki S.ALKhuraiji S.S.alghamdi Muhammad Hammad Aziz M.Isa Department of Physics and Astronomy College of ScienceKing Saud University National Center for Irradiation Technology King Abdulaziz City for Science and Technology Department of Physics COMSATS Institute of Information and Technology Department of Physics Faculty of ScienceUniversity of GujratHafiz Hayat Campus

The effect of gamma irradiation with different doses(25–75 kGy) on TiO_2 thin films deposited by atomic layer deposition has been studied and characterized by X-ray diffraction(XRD),photoluminescence measurements,ultraviolet–visible(UV–Vis) spectroscopy,and impedance *** XRD results for the TiO_2 films indicate an enhancement of crystallization after irradiation,which can be clearly observed from the increase in the peak intensities upon increasing the gamma irradiation *** UV–Vis spectra demonstrate a decrease in transmittance,and the band gap of the TiO_2 thin films decreases with an increase in the gamma irradiation *** Nyquist plots reveal that the overall charge-transfer resistance increases upon increasing the gamma irradiation *** equivalent circuit,series resistance,contact resistance,and interface capacitance are measured by simulation using Z-view *** present work demonstrates that gamma irradiation-induced defects play a major role in the modification of thestructural,electrical,and optical properties of the TiO_2 thin films.

关键词： TiO2 原子层 Gamma 性质氧化物 gamma Nyquist 光致发光

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A New Statistical Distance Scale for Planetary Nebulae,Based on Gaia EDR3

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Research in Astronomy and Astrophysics 2022年第8期22卷 170-181页

作者： A.ali E.Algarni A.Mindil S.A alghamdi Astronomy Space Science&Meteorology DepartmentFaculty of ScienceCairo UniversityGiza 12613Egypt Astronomy and Space Science Department Faculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Department of Physics College of ScienceUniversity of JeddahJeddahSaudi Arabia

The present work aims to build a new statistical distance scale for planetary nebulae(PNe)based on a rigorous calibration *** distances of the calibration sample are derived from the trigonometric parallax method using the recent measurements of Gaia Early Data Release 3(Gaia EDR3).The new distance scale is created by applying the well-known linear relationship between the radio surface brightness temperature and the nebular *** calibration sample is made up of 96 PNe of accurately computed distances with uncertainties less than20%.Earlier ground-and space-based trigonometric parallaxes of PNe display inconsistency with those of Gaia,particularly the Hipparcos *** addition,these measurements have appreciably lower precision than those of *** compared to the trigonometric technique,the expansion and kinematic methods exhibited more consistency than the spectroscopic,extinction,gravity,and photoionization ***,contrary to earlier results in the literature,the extinction and gravity methods,on average,underestimate and slightly overestimate the PN distances *** a byproduct of extracting the Gaia parallaxes,we detect the radial velocity and variability for 14 and 3 PN central stars(CSs),*** our knowledge,the variability of Hen 2-447 CS has been determined for the first time.

关键词： (ISM:)planetary nebulae:general parallaxes stars:variables:general stars:distances

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Outcomes of Ahmed valve surgery for refractory glaucoma in Dhahran, Saudi Arabia

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International Journal of Ophthalmology(English edition) 2015年第3期8卷 560-564页

作者： Tariq Alasbali Abdullah ali alghamdi Rajiv Khandekar Department of Ophthalmology Imam Mohammed Bin Saud University Department of Ophthalmology King Fahad hospital Department of Research King Khaled Eye Specialist Hospital

AIM: To evaluate the outcomes of Ahmed glaucoma valve(AGV) implantation surgery for refractory ***: This one-armed historical cohort study was conducted in 2011. Refractory glaucoma was defined as eyes with an intraocular pressure(IOP) greater than21 mm Hg with maximally tolerated glaucoma medications, failed surgeries, or both. For all eyes with refractory glaucoma that underwent AGV implantation,data were collected on IOP, the best corrected visual acuity(BCVA) and glaucoma medications preoperatively and 4, 6, 12, 24 and 56 wk postoperatively. Logarithm values of IOP were calculated and compared. RESULTS: The study group was comprised of 30patients(30 eyes, 16 males and 14 females) with refractory glaucoma. Mean preoperative IOP was 39.3 ±13.8 mm Hg. Postoperative mean IOP was 15.7±7.1 mm Hg,19.6 ±12.8 mm Hg and 13.9 ±14.2 mm Hg at 12, 24 and56 wk respectively. BCVA was ≥6/60 in 11 eyes preoperatively, and five eyes had BCVA ≥6/60 at 56 wk postoperatively. Preoperatively, more than four medications were used to treat glaucoma in 21 eyes. At12 wk postoperatively, no medications were required to control IOP in 20 eyes. At 56 wk postoperatively, at least one medication was required to control IOP in 10 *** the entire follow up period, four eyes were treated with yttrium aluminium garnet(YAG) laser and 14 eyes required a second surgery. The AGV was removed in four ***: AGV implantation reduced IOP and the number of medications required to control refractory glaucoma. However, there was a higher risk of decreased vision. Long-term follow up and prompt intervention are recommended.

关键词： refractory glaucoma blindness Ahmed glaucoma valve surgery

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An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles

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Computer Systems Science & Engineering 2022年第2期40卷 557-569页

作者： Mesfer Alrizq Shauban ali Solangi Abdullah alghamdi Muhammad ali Nizamani Muhammad ali Memon Mohammed Hamdi College of Computer Science and Information Systems Najran UniversityNajranSaudi Arabia Faculty of Engineering&Technology University of SindhJamshoro78060Pakistan

Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare(mHealthcare)services.A patient within the hospital is monitored by several ***,upon leaving the hospital,the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health *** raises potential challenges for intelligent monitoring of patient's *** this paper,an improved architecture for smart mHealthcare is proposed that is supported by HCI design *** HCI also provides the support for the User-Centric Design(UCD)for smart mHealthcare ***,the HCI along with IoT's(Internet of Things)5-layered architecture has the potential of improving User Experience(UX)in mHealthcare design and help saving *** intelligent mHealthcare system is supported by the IoT sensing and communication layers and health care providers are supported by the application layer for the medical,behavioral,and health-related *** care providers and users are further supported by an intelligent layer performing critical situation assessment and performing a multi-modal communication using an intelligent *** HCI design focuses on the ease-of-use,including user experience and safety,alarms,and error-resistant displays of the end-user,and improves user's experience and user satisfaction.

关键词： Human computer interaction mhealthcare user-centric design sensor network nternet-of-things

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A Drones Optimal Path Planning Based on Swarm Intelligence Algorithms

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Computers, Materials & Continua 2022年第7期72卷 365-380页

作者： Mahmoud Ragab ali Altalbe Abdullah Saad Al-Malaise alghamdi SAbdel-khalek Rashid A.Saeed Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Center of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah 21589Saudi Arabia Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City 11884CairoEgypt Department of Mathematics Faculty of ScienceTaif UniversityTaifSaudi Arabia Department of Mathematics Faculty of ScienceSohag UniversitySohagEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia

The smart city comprises various interlinked elements which communicate data and offers urban life to *** Aerial Vehicles(UAV)or drones were commonly employed in different application areas like agriculture,logistics,and *** improving the drone flying safety and quality of services,a significant solution is for designing the Internet of Drones(IoD)where the drones are utilized to gather data and people communicate to the drones of a specific flying region using the mobile devices is for constructing the Internet-of-Drones,where the drones were utilized for collecting the data,and communicate with *** addition,the SIRSS-CIoD technique derives a tuna swarm algorithm-based clustering(TSA-C)technique to choose cluster heads(CHs)and organize clusters in IoV ***,the SIRSS-CIoD technique involves the design of a biogeography-based optimization(BBO)technique to an optimum route selection(RS)*** design of clustering and routing techniques for IoD networks in smart cities shows the novelty of the study.A wide range of experimental analyses is carried out and the comparative study highlighted the improved performance of the SIRSS-CIoD technique over the other approaches.

关键词： Drones smart city swarm intelligence route selection internet of drones networking

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Time and Quantity Based Hybrid Consolidation Algorithms for Reduced Cost Products Delivery

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Computers, Materials & Continua 2021年第10期69卷 409-432页

作者： Muhammad ali Memon Asadullah Shaikh Adel Sulaiman Abdullah alghamdi Mesfer Alrizq Bernard Archimède Department of Information Technology University of SindhJamshoroSindh76090Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia University of Toulouse INP-ENIT47 Avenue d’AzereixBP1629F-65016Tarbes CedexFrance

In today’s competitive business environment,the cost of a product is one of the most important considerations for its *** are heavily involved in research strategies to minimize the cost of elements that can impact on the final price of the *** is one such *** products arrive from diverse locations to consumers in today’s digital era of online ***,the logistics sector faces several dilemmas from order attributes to environmental changes in this *** has specially been noted during the ongoing Covid-19 pandemic where the demands on online businesses have increased several ***,the methodology to optimise delivery cost and its impact on environmental focus by reducing CO_(2) emissions has gained *** resultant strategy of Shipment Consolidation that has evolved is an approach that combines one or more transport orders in the same vehicle for *** Consolidation has been categorized in three order scheduling approaches:Time based consolidation,Quantity based consolidation,and a Hybrid(Time-Quantity)based *** this paper,a new Hybrid Consolidation approach is *** the Hybrid approach,it has been shown that order delivery can be facilitated by taking into account not only the order pick up time,but also the total order *** results have shown that if a time window is available in respect of the order delivery time,then the order can be delayed from pickup to consolidate it with other orders for cost *** hybrid approach is based on four consolidation principles,two of which work on fixed departure and two,on demand *** of these rules have been implemented and tested here with an application case *** analysis of the results is illustrated with different planning evaluation *** Result analyses indicate that consolidation of orders is increased with each implemented rule hence motivating us towards t

关键词： Consolidation transportation supply chain cost minimization

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Precision time protocol attack strategies and their resistance to existing security extensions

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Cybersecurity 2021年第1期4卷 160-176页

作者： Waleed alghamdi Michael Schukat School of Computer Science National University of Ireland Galway Ireland

The IEEE 1588 precision time protocol(PTP)is very important for many industrial sectors and applications that require time synchronization accuracy between computers down to microsecond and even nanosecond ***,PTP and its underlying network infrastructure are vulnerable to cyber-attacks,which can stealthily reduce the time synchronization accuracy to unacceptable and even damage-causing levels for individual clocks or an entire network,leading to financial loss or even physical *** security protocol extensions only partially address this *** paper provides a comprehensive analysis of strategies for advanced persistent threats to PTP infrastructure,possible attacker locations,and the impact on clock and network synchronization in the presence of security protocol extensions,infrastructure redundancy,and protocol *** distinguishes between attack strategies and attacker types as described in RFC7384,but further distinguishes between the spoofing and time source attack,the simple internal attack,and the advanced internal *** experiments were conducted to demonstrate the impact of PTP *** analysis shows that a sophisticated attacker has a range of methodologies to compromise a PTP ***,all PTP infrastructure components can host an attacker,making the comprehensive protection of a PTP network against a malware infiltration,as for example exercised by Stuxnet,a very tedious task.

关键词： APT Cyber-attacks IEEE 1588 PTP Security Time synchronization protocols

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An ensemble deep learning based IDS for IoT using Lambda architecture

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网络空间安全科学与技术(英文) 2023年第3期6卷 1-17页

作者： Rubayyi alghamdi Martine Bellaiche Computer and Software Engineering Department école PolytechniqueMontrealCanada

The Internet of Things(IoT)has revolutionized our world today by providing greater levels of accessibility,connectivity and ease to our everyday *** enables massive amounts of data to be traversed across multiple heterogeneous devices that are all *** phenomenon makes IoT networks vulnerable to various network attacks and *** an Intrusion Detection System(IDS)for IoT networks is challenging as they enable a massive amount of data to be aggregated,which is difficult to handle and analyze in real time mainly because of the heterogeneous nature of IoT *** inefficient,traditional IDS approach accentuates the need to develop advanced IDS techniques by employing Machine or Deep *** paper presents a deep ensemble-based IDS using Lambda architecture by following a multi-pronged classification *** classification uses Long Short Term Memory(LSTM)to differentiate between malicious and benign traffic,while the multi-class classifier uses an ensemble of LSTM,Convolutional Neural Network and Artificial Neural Network classifiers to detect the type of *** model training is performed in the batch layer,while real-time evaluation is carried out through model inferences in the speed layer of the Lambda *** proposed approach gives high accuracy of over 99.93%and saves useful processing time due to the multi-pronged classification strategy and using the lambda architecture.

关键词： IoT IDS Lambda architecture Cyber-attacks Deep learning Ensemble learning

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Optimized Evaluation of Mobile Base Station by Modern Topological Invariants

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Computers, Materials & Continua 2023年第1期74卷 363-378页

作者： Khalid Hamid Muhammad Waseem Iqbal Muhammad Usman Ashraf Ahmed Mohammed alghamdi Adel A.Bahaddad Khalid ali Almarhabi Department of Computer Science Superior UniversityLahore54000Pakistan Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science GC Women UniversitySialkot53310Pakistan Department of Software Engineering College of Computer Science and EngineeringUniversity of Jeddah21493Saudi Arabia Department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science College of Computing in Al-QunfudahUmm Al-Qura UniversityMakkah24381Saudi Arabia

Due to a tremendous increase in mobile traffic,mobile operators have started to restructure their networks to offload their *** directions will lead to fundamental changes in the design of future Fifthgeneration(5G)cellular *** the formal reason,the study solves the physical network of the mobile base station for the prediction of the best characteristics to develop an enhanced network with the help of graph *** number that can be uniquely calculated by a graph is known as a graph *** the last two decades,innumerable numerical graph invariants have been portrayed and used for correlation *** any case,no efficient assessment has been embraced to choose,how much these invariants are connected with a network *** paper will talk about two unique variations of the hexagonal graph with great capability of forecasting in the field of optimized mobile base station topology in setting with physical *** K-banhatti sombor invariants(KBSO)and Contrharmonic-quadratic invariants(CQIs)are newly introduced and have various expectation characteristics for various variations of hexagonal graphs or *** the hexagonal networks are used in mobile base stations in layered,forms called *** review settled the topology of a hexagon of two distinct sorts with two invariants KBSO and CQIs and their reduced *** deduced outcomes can be utilized for the modeling of mobile cellular networks,multiprocessors interconnections,microchips,chemical compound synthesis and memory interconnection *** results find sharp upper bounds and lower bounds of the honeycomb network to utilize the Mobile base station network(MBSN)for the high load of traffic and minimal traffic also.

关键词： Hexagonal networks k-banhatti sombor invariants maple network graph artificial intelligence contraharmonic-quadratic invariants honeycomb

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