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Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization

Computers, Materials & Continua 2023年第2期74卷 2677-2693页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Manal Abdullah Alohali 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 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 Information Systems Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia 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

Applications of internet-of-things(IoT)are increasingly being used in many facets of our daily life,which results in an enormous volume of *** computing and fog computing,two of the most common technologies used in IoT applications,have led to major security *** are on the rise as a result of the usage of these technologies since present security measures are *** artificial intelligence(AI)based security solutions,such as intrusion detection systems(IDS),have been proposed in recent *** technologies that require data preprocessing and machine learning algorithm-performance augmentation require the use of feature selection(FS)techniques to increase classification accuracy by minimizing the number of features *** the other hand,metaheuristic optimization algorithms have been widely used in feature selection in recent *** this paper,we proposed a hybrid optimization algorithm for feature selection in *** proposed algorithm is based on grey wolf(GW),and dipper throated optimization(DTO)algorithms and is referred to as *** proposed algorithm has a better balance between the exploration and exploitation steps of the optimization process and thus could achieve better *** the employed IoT-IDS dataset,the performance of the proposed GWDTO algorithm was assessed using a set of evaluation metrics and compared to other optimization approaches in 2678 CMC,2023,vol.74,no.2 the literature to validate its *** addition,a statistical analysis is performed to assess the stability and effectiveness of the proposed *** results confirmed the superiority of the proposed approach in boosting the classification accuracy of the intrusion in IoT-based networks.

关键词： Feature selection grey wolf optimization dipper throated optimization intrusion detection internet-of-things(IoT)

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Assessment of Turbulent Wake Behind two Wind Turbines Using Multi-Fractal Analysis

Assessment of Turbulent Wake Behind two Wind Turbines Using ...

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Ivannikov ISPRAS Open Conference (ISPRAS)

作者： Arina Kryuchkova Jackson Tellez-Alvarez Sergei Strijhak Jose M. Redondo Russian Academy of Sciences Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia Department of Civil and Environmental Engineering Technical University of Catalonia BarcelonaTech Barcelona Spain Department of Physics Technical University of Catalonia BarcelonaTech Barcleona Spain

In this paper we present preliminary results of the multi-fractal analysis for describing the behavior of turbulence evolution in the wake behind two model wind turbines using the program ImaCal. The wind energy is an important component of renewable energy sources. Nowadays the research community focuses on studying the turbulent wakes behind wind turbines and its interactions with the Atmospheric Boundary Layer. For finding the fractal dimension a multi-fractal analysis was performed using the results of a numerical simulation of the flow over two model wind turbines. The latter was carried out by means of the Large Eddy method with the Lagrangian Dynamic Smagorinsky subgrid model. The SOWFA library was employed as a part of OpenFoam software to perform the simulation.

关键词： Wind turbines Blades Mathematical model Computational modeling Atmospheric modeling Software Poles and towers

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AI methods of control for distributed space systems: a review

AI methods of control for distributed space systems: a revie...

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School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR)

作者： Oleg Granichin Alexey Tikhonov Yury Ivanskiy Kseniia Kopylova Department of System Programming Saint Petersburg State University Saint Petersburg Russia Department of Theory and Applied Mechanics Saint Petersburg State University Saint Petersburg Russia Faculty of Ecomonic Cybernetics Saint Petersburg State University Saint Petersburg Russia

ISBN: (数字)9798350390834

ISBN: (纸本)9798350390841

The paper is a short review of the problems arising in control of distributed systems of spacecraft due to different kinds of uncertainties and of various AI-based approaches to deal with them. The considered uncertainties are caused by external and internal disturbances of different nature. The methods to deal with the uncertainties include neural networks, fuzzy logic, evolutionary algorithms, randomized algorithms and reinforcement learning.

关键词： Space vehicles Fuzzy logic Uncertainty Reviews Heuristic algorithms Neural networks Reinforcement learning Evolutionary computation Complex networks Control systems

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Applications of Fuzzy Logic in Recruitment systems

Applications of Fuzzy Logic in Recruitment Systems

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International Conference on Information Science and Communications Technologies (ICISCT)

作者： Kunduz Medetova Djamshid Sultanov Department of system and applied programming Tashkent university of information technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of hardware and software of management systems in telcommunications Tashkent university of information technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan

This paper presents methods for solving problems using the method of fuzzy logic. This method serves to study the characteristics of determining the level of compliance of a candidate for an existing vacant position. When measuring compliance with database requirements based on the results of assessing compliance with the requirements of an employee for a position. The use of artificial intelligence in personnel records gives high efficiency and serves for decision making.

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Design and Implementation of a Smart Human Posture Monitoring Device Using a Wearable Vest 7

Design and Implementation of a Smart Human Posture Monitorin...

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7th International Conference on Advances in Biomedical Engineering, ICABME 2023

作者： Daou, Roy Abi Zeid Geha, Elio Aoun, Youssef Hayek, Ali Boercsoek, Josef Olmedo, Jose Javier Serrano Université la Sagesse Biomedical Engineering Department Furn El Chebbak Beirut Lebanon Mart Learning Education and Research Center Chananir Lebanon Lebanese German University Faculty of Public Health Biomedical Technologies Department Jounieh Lebanon University of Applied Science Hamm-Lippstadt Department Lippstadt 2 Hardware Engineering Marker Allee 76-78 Hamm59063 Germany University of Kassel Faculty of Electrical Engineering /Computer Science Department of Computer Architecture and System Programming Germany Universidad Politecnica de Madrid Lab of Bioinstrumentation and Nanomedicine Centro de Tecnologia Biomedica Spain

ISBN: (纸本)9798350325850

Chronic back pain can present a serious health concern, with symptoms that can significantly affect an individual's well-being, mobility, and overall quality of life over an extended period. While chronic back pain may manifest suddenly in some cases, it often develops gradually and persists for weeks, and in untreated cases, it can linger for years. Hence, the utilization of assistive devices such as wearable posture-monitoring vests can offer valuable assistance and guidance to users. This research paper is dedicated to the development of a system for detecting, diagnosing, and correcting poor posture, specifically leaning posture. The vest is designed to provide users with visual, auditory, and tactile cues to help them address this issue, thereby reducing the risk associated with leaning. Additionally, an integrated electrical box has been designed to consolidate all components directly onto the main board in a secure enclosure. This box also displays the daily count of instances where the user has leaned. This system is characterized by its electrical safety, portability, compactness, comfort, and affordability. A comprehensive analysis of the system's performance has been conducted with a meticulous evaluation of accuracy. Each component of the system has undergone successful testing, and the system as a whole is currently in the testing phase. The results of these tests have indicated a lack of faulty errors and have demonstrated outstanding accuracy and detection rates. Over 100 individuals of varying ages, genders, and BMI categories were involved in testing, with each person wearing the device for an average of six hours. The accuracy rate achieved was 98.85%, with an average of 54.35 instances of poor posture detected per participant. © 2023 IEEE.

关键词： Wearable technology

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On spatial modeling of discrete event systems using point-interval logic

On spatial modeling of discrete event systems using point-in...

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IEEE International Conference on systems, Man and Cybernetics

作者： A.K. Zaidi K.H. Rizvi S.S. Hussain System Architectures Laboratory George Mason University Fairfax VA USA Department of EECS Mohammad Ali Jinnah University Karachi Pakistan Logic Programming Group Max Planck Institut für Informatik Saarbrucken Germany

The paper presents a spatial logic, called PISL-2D, and an implementation of its inference engine, called SpInE. The approach can be used to represent spatial knowledge in a 2-dimensional space using a set of qualitative spatial relations. The formalism is based on a point-interval logic and a graphical representation, called Point Graphs. The graph representation is used by SpInE to verify and infer spatial knowledge.

关键词： Discrete event systems Logic programming Aerodynamics Engines Artificial intelligence Erbium Information systems Control systems Availability Aerospace control

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A New Method to Detect and Correct the Critical Errors and Determine the Software-Reliability in Critical Software-system

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Journal of Physics: Conference Series 2012年第1期364卷

作者： Ossmane Krini Josef Börcsök Department of Computer Architecture and System Programming University of Kassel Germany

In order to use electronic systems comprising of software and hardware components in safety related and high safety related applications, it is necessary to meet the Marginal risk numbers required by standards and legislative provisions. Existing processes and mathematical models are used to verify the risk numbers. On the hardware side, various accepted mathematical models, processes, and methods exist to provide the required proof. To this day, however, there are no closed models or mathematical procedures known that allow for a dependable prediction of software reliability. This work presents a method that makes a prognosis on the residual critical error number in software. Conventional models lack this ability and right now, there are no methods that forecast critical errors. The new method will show that an estimate of the residual error number of critical errors in software systems is possible by using a combination of prediction models, a ratio of critical errors, and the total error number. Subsequently, the critical expected value-function at any point in time can be derived from the new solution method, provided the detection rate has been calculated using an appropriate estimation method. Also, the presented method makes it possible to make an estimate on the critical failure rate. The approach is modelled on a real process and therefore describes two essential processes - detection and correction process.

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Instruction based Built-in-Testing of Instruction Select Multiplexer in Arithmetic Logic Unit

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Journal of Physics: Conference Series 2012年第1期364卷

作者： P Tsoozol J Börcsök M Schwarz Department of Computer Architecture and System Programming University of Kassel Germany

Due to the complexity of microprocessor, an efficient testing is a crucial point and serious challenge in safety systems. A new instruction opcode for ALU based Built-In-Test (BIT) is proposed in this paper. With this novel method stuck-at-fault in Multiplexer (MUX) for Arithmetic Logic Unit (ALU) can be determined. A model that consists of the command and faulty states is developed. According to the designed state model, an algorithm and pseudo program that tests the stuck-at-fault in MUX is implemented and described in this paper.

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Special Processors Simulation for Forming and Digital Processing of Error-Correcting Codes in Computer systems

Special Processors Simulation for Forming and Digital Proces...

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International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： Taras Grynchyshyn Volodymyr Hryha Artur Voronych Mykhaylo Ilko Department of Programming and Information Technologies National Transport University Nadvirna UKRAINE Department of Computer Engineering and Electronics Vasyl Stefanyk Precarpathian National University Ivano-Frankivsk UKRAINE Department of Computer System and Networks Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk UKRAINE

ISBN: (数字)9781728155661

ISBN: (纸本)9781728155678

The methods of digital and pulse signal modulation in modern computer systems of data transmission are analysed. Process of forming non-redundant coding that use the errors detection and correction in the Galois basis are offered. Structures of special processors for forming signal correcting codes are built. Working algorithms for proposed coding methods are developed and their software implementation are offered. Circuit design of Galois code sequence generator is implemented. Work simulation and synthesis on FPGA of Xilinx are performed.

关键词： digital signal processing chips encoding error correction codes error detection codes field programmable gate arrays Galois fields logic design microprocessor chips Error correction codes Field programmable gate arrays digital signal processing chips error detection codes Computer systems Galois fields Microprocessor chips Logic design coding Forming Galois sequence generator Digital signal processing

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Advanced IOT Traffic Light Control system

Advanced IOT Traffic Light Control System

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International Conference on Advances in Computational Tools for Engineering Applications, ACTEA

作者： Martin Abou Hamad Antonio El Hajj Roy Abi Zeid Daou Ali Hayek Gaby Abou Haidar Biomedical Technologies Department Faculty of Public Health Lebanese German University Lebanon MART Learning Education and Research Center Lebanon Department of Computer Architecture and System Programming University of Kassel Kassel Germany Engineering Faculty American University of Science and Technology Zahle Lebanon

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy.

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