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Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs

computers, Materials & Continua 2023年第1期74卷 1905-1921页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and *** more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the ***,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole *** proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering *** is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor *** hybridmethod is primarily designed to combat active black-hole *** the LEACH clustering phase,however,can also detect passive black-hole *** effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested *** diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution ***,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关键词： Black-hole attack mobile ad-hoc network optimization dipper throated optimization

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Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets

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computers, Materials & Continua 2023年第2期74卷 4531-4545页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Mostafa Abotaleb Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.Elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

Selecting the most relevant subset of features from a dataset is a vital step in data mining and machine *** feature in a dataset has 2n possible subsets,making it challenging to select the optimum collection of features using typical *** a result,a new metaheuristicsbased feature selection method based on the dipper-throated and grey-wolf optimization(DTO-GW)algorithms has been developed in this *** can result when the selection of features is subject to metaheuristics,which can lead to a wide range of ***,we adopted hybrid optimization in our method of optimizing,which allowed us to better balance exploration and harvesting chores more *** propose utilizing the binary DTO-GW search approach we previously devised for selecting the optimal subset of *** the proposed method,the number of features selected is minimized,while classification accuracy is *** test the proposed method’s performance against eleven other state-of-theart approaches,eight datasets from the UCI repository were used,such as binary grey wolf search(bGWO),binary hybrid grey wolf,and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hysteresis optimization(bHy),and binary hysteresis optimization(bHWO).The suggested method is superior 4532 CMC,2023,vol.74,no.2 and successful in handling the problem of feature selection,according to the results of the experiments.

关键词： Metaheuristics dipper throated optimization grey wolf optimization binary optimizer feature selection

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Pricing Policy with the Effect of Fairness Concern, Imprecise Greenness, and Prices in Imprecise Market for a Dual Channel

Pricing Policy with the Effect of Fairness Concern, Imprecis...

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International Conference on Nonlinear Applied Analysis and Optimization, ICNAAO-2021

作者： Ganguly, Sanchari Das, Pritha Maiti, Manoranjan Department of Mathematics Indian Institute of Engineering Science and Technology Shibpur WB Howrah711103 India Department of Applied Mathematics Oceanology and Computer Programming Vidyasagar University WB Midnapore721102 India

ISBN: (纸本)9789819905966

Fairness concern behavior, a well-known cognitive bias, refers to a person’s attitude of dissatisfaction for unequal pay-offs in someone’s favor. Against environmental pollution, many firms are focused on green manufacturing to maintain sustainable development. The adoption of online shopping by customers around the globe has altered the dynamics of competitiveness in the retail supply chain (SC). Considering the above facts, the effect of fairness concern on optimal prices and channel members’ profits in a two-level dual channel SC is investigated. Here, we consider an SC comprising a green manufacturer and a fair-minded retailer where the manufacturer produces and sells the green product through both offline and online channels to consumers. Due to uncertainty in the real world, the fuzziness is associated with market demand, price elasticity, and the coefficient of greenness. The fuzzy objectives and constraints are reduced to crisp ones using expectation and possibility measures, respectively. Both centralized and decentralized models (with and without cognitive bias) are formulated and solved by the Stackelberg game for the optimal prices and product greenness level. The models’ optimal solutions are analyzed and compared with the deterministic models numerically. The effects of the fairness concern coefficient on the optimal prices, product greenness level, and channel members’ profits are investigated. The sensitivity analyses are presented to study the effects of the fuzzy degree of customers’ sensitivity toward greenness on channel members’ profits. Retailer’s fairness is harmful to the manufacturer but beneficial for her own profit. Finally, some conclusions and managerial insights are presented. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Game theory

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Al-Biruni Earth Radius Optimization for COVID-19 Forecasting

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computer Systems Science & Engineering 2023年第7期46卷 883-896页

作者： El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Tatiana Makarovskikh Amal H.Alharbi Doaa Sami Khafaga Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura University35516MansouraEgypt Department of System Programming South Ural State University454080ChelyabinskRussia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Several instances of pneumonia with no clear etiology were recorded in Wuhan,China,on December 31,*** world health organization(WHO)called it COVID-19 that stands for“Coronavirus Disease 2019,”which is the second version of the previously known severe acute respiratory syndrome(SARS)Coronavirus and identified in short as(SARSCoV-2).There have been regular restrictions to avoid the infection spread in all countries,including Saudi *** prediction of new cases of infections is crucial for authorities to get ready for early handling of the virus ***:Analysis and forecasting of epidemic patterns in new SARSCoV-2 positive patients are presented in this research using metaheuristic optimization and long short-term memory(LSTM).The optimization method employed for optimizing the parameters of LSTM is Al-Biruni Earth Radius(BER)***:To evaluate the effectiveness of the proposed methodology,a dataset is collected based on the recorded cases in Saudi Arabia between March 7^(th),2020 and July 13^(th),*** addition,six regression models were included in the conducted experiments to show the effectiveness and superiority of the proposed *** achieved results show that the proposed approach could reduce the mean square error(MSE),mean absolute error(MAE),and R^(2)by 5.92%,3.66%,and 39.44%,respectively,when compared with the six base *** the other hand,a statistical analysis is performed to measure the significance of the proposed ***:The achieved results confirm the effectiveness,superiority,and significance of the proposed approach in predicting the infection cases of COVID-19.

关键词： COVID-19 prediction meta-heuristic optimization LSTM Al-Biruni earth radius algorithm

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Optimization of MIMO Antenna Approach for 5G Wireless Applications

Optimization of MIMO Antenna Approach for 5G Wireless Applic...

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International Conference on Systems and Control (ICSC)

作者： Aqreerah Atuwayr Akrem Asmeida Haitham Saleh Ben Abdelmula Abdulhakim Alhadi Anaiba High Institution of Engineering Technology College of Computer Technology Zawia College of Computer Technology Zawia Libyan Center for Electronic Systems Programming and Aviation Research Libyan Center for Electronic Systems Programming and Aviation Research

In this communication, an improved MIMO antenna array with defected ground structure (DGS) is designed for 5G wireless applications. Its schematic comprises eight radiator elements, situated at the center of an FR-4 printed circuit board. For optimizing the mutual coupling features, the metamaterial rectangular slots are employed between adjacent elements. Extensive simulation results prove that our proposed design 4x4 MIMO array operated at 5.8 GHz offers significantly better performance in terms of antenna gain and envelope correlation coefficient (ECC) with 6 dB and less than 0.0009 respectively. Rendering to the reached outcomes, the proposed MIMO antenna is an efficient application-oriented design for 5G communication.

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Application-based spam detection with machine learning algorithms 27

Application-based spam detection with machine learning algor...

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27th International Conference on Information Society and University Studies, IVUS 2022

作者： Erbey, Ali Barışçı, Necaattin Uşak University Distance Education Vocational School Department of Computer Programming Uşak Turkey Gazi University Faculty of Technology Department of Computer Engineering Ankara Turkey

We investigated the process of unsupervised generative learning and the structure of informative generative representations of images of handwritten digits (MNIST dataset). Learning models with the architecture of sparse convolutional autoencoder with constraints to produce low-dimensional representations achieved successful generative learning demonstrated by high accuracy of generation of images. A well-defined, continuous and connected structure of generative representations was observed and described. Structured informative representations of unsupervised generative models can be an effective platform for investigation of origins of intelligent behaviors in artificial and biological learning systems. © 2022 Copyright for this paper by its authors.

关键词： Neural networks

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Social Engineering Attacks Detection Approach 13

Social Engineering Attacks Detection Approach

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13th International Conference on Dependable Systems, Services and Technologies, DESSERT 2023

作者： Lysenko, Sergii Vorobiov, Volodymyr Bokhonko, Oleksandr Gaj, Piotr Savenko, Oleg Woloszyn, Jacek Khmelnitsky National University Department of Computer Engineering and Information Systems Khmelnitsky Ukraine Silesian University of Technology Gliwice Poland Khmelnitsky National University Department of Computer Engineering and System Programming Khmelnitsky Ukraine Kazimierz Pulaski University of Technology and Humanities in Radom Department of Informatics and Teleinformatics Radom Poland

ISBN: (纸本)9798350396119

The paper focuses on the problem of technical social engineering attacks that encompass the manipulation of individuals to reveal sensitive information, execute actions, or breach security systems. These exploits frequently capitalize on human psychology, trust, and a lack of vigilance to attain unauthorized entry to networks, systems, or data. In contrast to traditional social engineering tactics that center on psychological manipulation, technical social engineering attacks employ technological means and strategies to manipulate and beguile individuals. The paper presents an attempt to detect social engineering attacks. The approach utilized four machine learning algorithms (decision tree, random forest, K-nearest neighbor, and extreme gradient boosting). The analysis is centered on data collected from network hosts, which may serve as indicators of a potential social engineering attack. The empirical results demonstrated high detection accuracy. © 2023 IEEE.

关键词： Cybersecurity

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A Method for Extracting Target Speaker in Dual - Microphone System

A Method for Extracting Target Speaker in Dual - Microphone ...

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2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： Trong The, Quan Thi Thu Dung, Nguyen University Itmo Information Technologies and Programming Faculty Saint Petersburg Russia University SPbPU Institute of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665409933

Advances in technology have produced smaller and more powerful computing devices. For example, there are currently a variety of portable personal computing devices, including wireless computing devices, such as portable wireless phones, personal digital assistants (PDAs), and paging devices. These devices are small, light, and easy to carry by users. More specifically, portable wireless phones (e.g., cellular phones and Internet Protocol (IP) phones) can transmit voice and data packets via wireless networks. Further, many of these wireless telephones include other types of devices incorporated therein. For example, wireless phones can also contain digital still cameras, digital video cameras, digital recorders, and audio file players. Moreover, such wireless phones can process executable instructions, including software applications, such as web browser applications that can be used to access the Internet. In this way, these wireless phones can contain significant computing power. The audio processing system in the wireless phone may use a multi-microphone system that improves audio quality based on a multi-channel digital processing algorithm. For example, compared to a single microphone system, a multi-microphone system can provide enhanced noise suppression and can allow the audio processing system to implement spatially related audio features, such as position related noise. In order achieving a better result of extracting the target speaker, the author proposed a method, which based on dual-microphone system, uses post-filtering technology to eliminate diffuse noise and unwanted speech. Experiments have presented the effectiveness and robust of the proposed method. © 2022 IEEE.

关键词： Microphone array

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An Improved Implementation of Generalized Sidelobe Canceller Filter in Diffuse Noise Field

An Improved Implementation of Generalized Sidelobe Canceller...

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2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： The, Quan Trong Dung, Nguyen Thi Thu University Itmo Information Technologies and Programming Faculty Saint Petersburg Russia University SPbPU Institute of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665409933

Algorithms, which used in the microphone array, are currently widely popular, especially the GSC algorithm. Compared with the single-channel algorithm model, GSC uses information of direction of arrival (DOA) of the original speech signal to increase the efficiency of noise suppression. However, in practical applications, there are many restrictions, such as the error of the actual direction, the error of sensitivity between microphones, which affects the output signal, causes speech distortion and performance degradation. In this paper, the author proposed a method, that uses a priori SNR to reduce the speech leakage in the reference signal, to improve the implementation of GSC algorithm in diffuse noise field. The above method has been tested, and its effectiveness has been proven. In the future, the author will continue to study different noise environmental conditions to further improve the efficiency of the above method. © 2022 IEEE.

关键词： Beamforming

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A Speech Enhancement in Diffuse Noise Field using Minimum Variance Distortionless Response Filter

A Speech Enhancement in Diffuse Noise Field using Minimum Va...

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2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

ISBN: (纸本)9781665409933

Array signal processing is an important branch in the field of signal processing. It has been widely used in many military and national economic fields such as radar, communications, sonar, navigation, voice signal processing, seismic monitoring, and biomedical engineering. Adaptive beamforming is an important research content in array signal processing. It is essential to perform spatial filtering through adaptive weighting of each array element to achieve the purpose of enhancing the desired signal, suppressing interference and reducing noise signals. Minimum variance distortion response (MVDR) is a commonly used algorithm. It restricts the array gain to 1 in the desired signal direction and minimizes the output power of the array to achieve the purpose of suppressing interference. However, in real-life environment, most processing speech system are affected by various types of noise, like coherence, incoherence, diffuse and ambient noise. These unwanted factors strong degrade performance of designed system. The quality and intelligibility, which one of the most important measurement of output signal, decreases when surrounding environment is too complex. In this paper, the author proposed an improved technology to enhance algorithm MVDR in diffuse noise field. The results illustrated that, the suggested algorithm allowed reducing speech distortion from 5.1÷15.5 (dB). The promising method can be further combined with many speech applications. © 2022 IEEE.

关键词： Speech enhancement

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