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V-Shaped Monopole Antenna with Chichena Itzia Inspired Defected Ground Structure for UWB Applications

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Computers, Materials & Continua 2020年第10期65卷 19-32页

作者： Naeem Ahmad Jan Saad Hassan Kiani Fazal muhammad daniyal Ali Sehrai Amjad Iqbal muhammad Tufail Sunghwan Kim Department of Electrical Engineering Iqra National UniversityPeshawar25000Pakistan Department of Electrical Engineering City University of Science and Information TechnologyPeshawar25000Pakistan Department of Electrical Engineering Multimedia UniversityCyberjaya63100Malaysia Department of Mechatronics Engineering University of Engineering and TechnologyPeshawar25000Pakistan Department of Electrical Engineering University of UlsanUlsan44610Korea

Due to rapid growth in wireless communication technology,higher bandwidth requirement for advance telecommunication systems,capable of operating on two or higher bands with higher channel capacities and minimum distortion losses is *** this paper,a compact Ultra-Wideband(UWB)V-shaped monopole antenna is *** response is achieved by modifying the ground plane with Chichen Itzia inspired rectangular staircase *** proposed V-shaped is designed by incorporating a rectangle,and an inverted isosceles triangle using FR4 *** size of the antenna is 25 mm×26 mm×1.6 *** proposed V-shaped monopole antenna produces bandwidth response of 3 GHz Industrial,Scientific,and Medical(ISM),Worldwide Interoperability for Microwave Access(WiMAX),(IEEE 802.11/HIPERLAN band,5G sub 6 GHz)which with an additional square cut amplified the bandwidth response up to 8 GHz ranging from 3.1 GHz to 10.6 GHz attaining UWB defined by Federal Communications Commission(FCC)with a maximum gain of 3.83 *** antenna is designed in Ansys *** for key performance parameters of the antenna are *** measured results are in good agreement with the simulated *** to flat gain,uniform group delay,omni directional radiation pattern characteristics and well-matched impedance,the proposed antenna is suitable for WiMAX,ISM and heterogeneous wireless systems.

关键词： V-shape monopole gain staircase ultra-wideband omni-directional defected ground structure

Design of a Compact Monopole Antenna for UWB Applications

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Computers, Materials & Continua 2021年第1期66卷 35-44页

作者： Naeem Ahmad Jan Saad Hassan Kiani daniyal Ali Sehrai muhammad Rizwan Anjum Amjad Iqbal Mujeeb Abdullah Sunghwan Kim Department of Electrical Engineering Iqra National UniversityPeshawar25000Pakistan Department of Electrical Engineering City University of Science and Information TechnologyPeshawar25000Pakistan Department of Electronic Engineering The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Electrical Engineering Multimedia UniversityCyberjaya63100Malaysia Department of Computer Science Bacha Khan UniversityCharsadda24420Pakistan School of Electrical Engineering University of UlsanUlsan44610Korea

In this paper,a low cost,highly efficient and low profile monopole antenna for ultra-wideband(UWB)applications is presented.A new inverted triangular-shape structure possessing meander lines is designed to achieve a wideband response and high *** design the proposed structure,three steps are utilized to achieve an UWB *** bandwidth of the proposed antenna is improved with changing meander lines parameters,miniaturization of the ground width and optimization of the feeding *** measured and simulated frequency band ranges from 3.2 to 12 GHz,while the radiation patterns are measured at 4,5.3,6 and 8 GHz frequency *** overall volume of the proposed antenna is 26×25×1.6 mm^(3);whereas the FR4 material is used as a substrate with a relative permittivity and loss tangent of 4.3 and 0.025,*** peak gain of 4 dB is achieved with a radiation efficiency of 80 to 98%for the entire *** modelling of proposed antenna is performed in ANSYS HFSS 13 software.A decent consistency between the simulated and measured results is accomplished which shows that the proposed antenna is a potential candidate for the UWB applications.

关键词： Ultra-wideband(UWB) meander lines monopole antenna high efficiency high gain ANSYS HFSS

Approximation Properties of Julia Polynomials

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Acta Mathematica Sinica,English Series 2007年第7期23卷 1303-1310页

作者： daniyal M.ISRAFILOV Burcin OKTAY Department of Mathematics Faculty of Art and SciencesBalikesir University

Let G be a finite simply connected domain in the complex plane C, bounded by a rectifiable Jordan curve L, and let w = φ0 （z） be the Riemann conformal mapping of G onto D （0, r0）：= {E-mail：：｜｜〈 r0}, normalized by the conditions φ0 （z0） = 0, φ＇0 （z0） = 1.In this work, the rate of approximation of φ0 by the polynomials, defined with the help of the solutions of some extremal problem, in a closed domain G is studied. This rate depends on the geometric properties of the boundary L.

关键词： conformal mapping extremal polynomials bounded boundary rotation Dini-smooth boundary

Optimal site selection for an optical-astronomical observatory in Pakistan using Multicriteria Decision Analysis

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Research in Astronomy and Astrophysics 2019年第9期19卷 71-78页

作者： daniyal Syed Jamil Hassan Kazmi Institute of Space&Planetary Astrophysics University of Karachi75270KarachiPakistan Department of Geography University of KarachiKarachi75270Pakistan

An astronomical observatory is the core component of any astronomical research facility that connects astronomers with their lab: the Cosmos. The research quality of an astronomical facility is rooted in the precision of data, collected by its observatory. For optimal performance, an observatory is sited while considering certain astronomical, environmental, geological and social parameters. This study aims to identify the potential sites in Pakistan for locating an optical-astronomical observatory using the Multicriteria Decision Analysis(MCDA) technique. The study uses the Analytic Hierarchy Process(AHP) for deriving the influence weights of nine evaluation criteria: Photometric Night Fraction;Night-time Sky Brightness;Sky Transparency;Aerosol Concentration;Altitude;Terrain Slope;Accessibility;Seismic Vulnerability;and Landuse/Land Cover. On the basis of experts’ opinions and previous studies, the evaluation criteria have been ordered in two possible preference sequences for identifying their influence weights with respect to each other for taking part in MCDA. Consequently, the process of MCDA identified certain areas with respect to each preference sequence, whereas some areas were found to be suitable according to both preference sequences. The study synchronizes the required eclectic data into an evaluation matrix that augments the process of astronomical site selection. In the future, this study will be useful for astronomical societies and for furthering astronomical research in the country.

关键词： astronomical instrumentation methods and techniques:data analysis methods and techniques:site testing general:miscellaneous

A Lightweight Deep Autoencoder Scheme for Cyberattack Detection in the Internet of Things

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Computer Systems Science & Engineering 2023年第7期46卷 57-72页

作者： Maha Sabir Jawad Ahmad daniyal Alghazzawi Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah80200Saudi Arabia School of Computing Edinburgh Napier UniversityEdinburgh EH105DYUK

The Internet of things(IoT)is an emerging paradigm that integrates devices and services to collect real-time data from surroundings and process the information at a very high speed to make a *** several advantages,the resource-constrained and heterogeneous nature of IoT networks makes them a favorite target for cybercriminals.A single successful attempt of network intrusion can compromise the complete IoT network which can lead to unauthorized access to the valuable information of consumers and *** overcome the security challenges of IoT networks,this article proposes a lightweight deep autoencoder(DAE)based cyberattack detection *** proposed approach learns the normal and anomalous data patterns to identify the various types of network *** most significant feature of the proposed technique is its lower complexity which is attained by reducing the number of *** optimally train the proposed DAE,a range of hyperparameters was determined through extensive experiments that ensure higher attack detection *** efficacy of the suggested framework is evaluated via two standard and open-source *** proposed DAE achieved the accuracies of 98.86%,and 98.26%for NSL-KDD,99.32%,and 98.79%for the UNSW-NB15 dataset in binary class and multi-class *** performance of the suggested attack detection framework is also compared with several state-of-the-art intrusion detection *** outcomes proved the promising performance of the proposed scheme for cyberattack detection in IoT networks.

关键词： Autoencoder cybersecurity deep learning intrusion detection IoT

Optimized Generative Adversarial Networks for Adversarial Sample Generation

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Computers, Materials & Continua 2022年第8期72卷 3877-3897页

作者： daniyal M.Alghazzawi Syed Hamid Hasan Surbhi Bhatia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia

Detecting the anomalous entity in real-time network traffic is a popular area of research in recent *** few researches have focused on creating malware that fools the intrusion detection system and this paper focuses on this *** are using Deep Convolutional Generative Adversarial Networks(DCGAN)to trick the malware classifier to believe it is a normal *** this work,a new dataset is created to fool the Artificial Intelligence(AI)based malware detectors,and it consists of different types of attacks such as Denial of Service(DoS),scan 11,scan 44,botnet,spam,User Datagram Portal(UDP)scan,and ssh *** discriminator used in the DCGAN discriminates two different attack classes(anomaly and synthetic)and one normal *** model collapse,instability,and vanishing gradient issues associated with the DCGAN are overcome using the proposed hybrid Aquila optimizer-based Mine blast harmony search algorithm(AO-MBHS).This algorithm helps the generator to create realistic malware samples to be undetected by the *** performance of the proposed methodology is evaluated using different performance metrics such as training time,detection rate,F-Score,loss function,Accuracy,False alarm rate,*** superiority of the hybrid AO-MBHS based DCGAN model is noticed when the detection rate is changed to 0 after the retraining method to make the defensive technique hard to be noticed by the malware detection *** support vector machines(SVM)is used as the malicious traffic detection application and its True positive rate(TPR)goes from 80%to 0%after retraining the proposed model which shows the efficiency of the proposed model in hiding the samples.

关键词： Aquila optimizer convolutional generative adversarial networks mine blast harmony search algorithm network traffic dataset adversarial artificial intelligence techniques

Blockchain-as-a-Utility for Next-Generation Healthcare Internet of Things

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Computers, Materials & Continua 2021年第7期68卷 359-376页

作者： Alaa Omran Almagrabi Rashid Ali daniyal Alghazzawi Abdullah AlBarakati Tahir Khurshaid Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia School of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea Department of Electrical Engineering Yeungnam UniversityGyeongsan38541Korea

The scope of the Internet of Things(IoT)applications varies from strategic applications,such as smart grids,smart transportation,smart security,and smart healthcare,to industrial applications such as smart manufacturing,smart logistics,smart banking,and smart *** the advancement of the IoT,connected devices become smart and intelligent with the help of sensors and ***,issues and challenges need to be addressed regarding the data reliability and protection for signicant nextgeneration IoT applications like smart *** these next-generation applications,there is a requirement for far-reaching privacy and security in the ***,blockchain systems have emerged as a key technology that changes the way we exchange *** emerging technology has revealed encouraging implementation scenarios,such as secured digital *** a technical advancement,the blockchain network has the high possibility of transforming various industries,and the next-generation healthcare IoT(HIoT)can be one of those *** have been several studies on the integration of blockchain networks and ***,blockchain-as-autility(BaaU)for privacy and security in HIoT systems requires a systematic *** paper reviews blockchain networks and proposes BaaU as one of the *** proposed BaaU-based framework for trustworthiness in the next-generation HIoT systems is divided into two *** rst scenario suggests that a healthcare service provider integrates IoT sensors such as body sensors to receive and transmit information to a blockchain network on the IoT *** second proposed scenario recommends implementing smart contracts,such as Ethereum,to automate and control the trusted devices’subscription in the HIoT services.

关键词： blockchain next-generation IoT privacy and security healthcare IoT complex healthcare applications

An Improved Optimized Model for Invisible Backdoor Attack Creation Using Steganography

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Computers, Materials & Continua 2022年第7期72卷 1173-1193页

作者： daniyal M.Alghazzawi Osama Bassam J.Rabie Surbhi Bhatia Syed Hamid Hasan Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia

The Deep Neural Networks(DNN)training process is widely affected by backdoor *** backdoor attack is excellent at concealing its identity in the DNN by performing well on regular samples and displaying malicious behavior with data poisoning *** state-of-art backdoor attacks mainly follow a certain assumption that the trigger is sample-agnostic and different poisoned samples use the same *** overcome this problem,in this work we are creating a backdoor attack to check their strength to withstand complex defense strategies,and in order to achieve this objective,we are developing an improved Convolutional Neural Network(ICNN)model optimized using a Gradient-based Optimization(GBO)(ICNN-GBO)*** the ICNN-GBO model,we are injecting the triggers via a steganography and regularization *** are generating triggers using a single-pixel,irregular shape,and different *** performance of the proposed methodology is evaluated using different performance metrics such as Attack success rate,stealthiness,pollution index,anomaly index,entropy index,and *** the CNN-GBO model is trained with the poisoned dataset,it will map the malicious code to the target *** proposed scheme’s effectiveness is verified by the experiments conducted on both the benchmark datasets namely CIDAR-10 andMSCELEB 1M *** results demonstrate that the proposed methodology offers significant defense against the conventional backdoor attack detection frameworks such as STRIP and Neutral cleanse.

关键词： Convolutional neural network gradient-based optimization steganography backdoor attack and regularization attack

Distance Matrix and Markov Chain Based Sensor Localization in WSN

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Computers, Materials & Continua 2022年第5期71卷 4051-4068页

作者： Omaima Bamasaq daniyal Alghazzawi Surbhi Bhatia Pankaj Dadheech Farrukh Arslan Sudhakar Sengan Syed Hamid Hassan Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Information Systems College of Computer Science and Information TechnologyKing Faisal UniversitySaudi Arabia Department of Computer Science and Engineering Swami Keshvanand Institute of TechnologyManagement&GramothanJaipurRajasthanIndia University of Engineering and Technology LahorePakistan Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveliTamilnaduIndia

Applications based on Wireless Sensor Networks(WSN)have shown to be quite useful in monitoring a particular geographic area of *** geometries of the surrounding environment are essential to establish a successful WSN *** it is literally hard because constructing a localization algorithm that tracks the exact location of Sensor Nodes(SN)in a WSN is always a challenging *** this research paper,Distance Matrix and Markov Chain(DM-MC)model is presented as node localization technique in which Distance Matrix and Estimation Matrix are used to identify the position of the *** method further employs a Markov Chain Model(MCM)for energy optimization and interference *** are performed against two well-known models,and the results demonstrate that the proposed algorithm improves performance by using less network resources when compared to the existing *** probability is used in the Markova chain to sustain higher energy ***,the proposed Distance Matrix and Markov Chain model decrease energy use by 31%and 25%,respectively,compared to the existing DV-Hop and CSA *** experimental results were performed against two proven models,Distance VectorHop Algorithm(DV-HopA)and Crow Search Algorithm(CSA),showing that the proposed DM-MC model outperforms both the existing models regarding localization accuracy and Energy Consumption(EC).These results add to the credibility of the proposed DC-MC model as a better model for employing node localization while establishing a WSN framework.

关键词： Wireless sensor network resource optimization routing distance matrix Markov chain