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Enhanced Intrusion Detection Based Hybrid Meta-heuristic Feature Selection 16th

Enhanced Intrusion Detection Based Hybrid Meta-heuristic Fea...

引用

16th international conference on Computational Collective Intelligence (ICCCI)

作者： Ali, Ali Hussein Ammar, Boudour Charfeddine, Maha Ben Hamed, Bassem Univ Sfax Natl Sch Elect & Telecommun Sfax REGIM Lab Res Grp Intelligent Machines Sfax Tunisia Univ Sfax Natl Engn Sch Sfax ENIS REGIM Lab Res Grp Intelligent Machines Sfax Tunisia Univ Sfax Natl Sch Elect & Telecommun Sfax Lab Signals Syst ARtificial Intelligence & NeTwor Sfax Tunisia

ISBN: (纸本)9783031702587;9783031702594

As technology advances and becomes more complex, the frequency and complexity of cyber-attacks also increase. Unscrupulous hackers and cybercriminals are developing innovative methods to penetrate computer systems and unlawfully steal crucial data. To address these threats, organizations must implement effective Intrusion Detection systems (IDSs) to detect and respond to assaults swiftly. IDSs have recently attracted significant attention due to their effectiveness and precision in detecting abnormal patterns in network traffic using machine learning techniques. This work aims to create a model that can identify intrusions by employing various machine learning algorithms on the chosen features obtained from the modelling process. Evolutionary algorithms and local search techniques are merged in hybrid mode to build new models to select the most suitable features and prepare them for the proposed investigation. The SMOTE method is used for addressing the issue of imbalanced datasets. The utilization of imbalance techniques is highly effective. It may effectively rectify the uneven distribution of classes, hence enhancing the accuracy of a machine learning model in identifying the underrepresented class. A study is conducted to investigate various machine learning techniques and assess the effectiveness of the proposed methodology. The evaluation of research on the widely recognized Intrusion Detection benchmark CSE-CIC-IDS2018 and KDD CUP 99 datasets demonstrates significant promise.

关键词： Intrusion Detection systems Machine Learning Techniques Synthetic Minority Oversampling Techniques Metaheuristics Methods

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High-Performance Computing for Efficient Transaction Processing: A Comparative Study of Parallel and Sequential Execution using SQLite 5

High-Performance Computing for Efficient Transaction Process...

引用

5th international conference on IoT Based control Networks and intelligent systems, ICICNIS 2024

作者： Balaji, C.V.Roshan Shaman, K.R. Pritham Raj, V. Kumar, N.Nithish Kumaran, K. School of Computer Science and Engineering Vellore Institute of Technology Chennai campus India

ISBN: (纸本)9798331518097

High-performance computing (HPC) has become an essential tool for improving the efficiency and scalability of transaction processing systems, especially as data volumes continue to grow in fields like finance, e-commerce, and blockchain. This paper presents a comparative study of parallel and sequential transaction processing methods using an SQLite database. Specifically, the research investigates the impact of HPC techniques on transaction throughput, processing speed, and efficiency by simulating 1,000 user transactions. The study employs Python's multiprocessing module to simulate parallel execution, contrasting it with traditional sequential execution. Key performance indicators, including execution time, transaction success rate, and system efficiency, were analyzed to determine the advantages of parallel processing in a transaction-heavy environment. Our results reveal that parallel execution significantly reduces processing time, boosts throughput, and increases overall system efficiency compared to sequential processing. Additionally, the study discusses how parallel processing techniques can address common bottlenecks in transaction-heavy applications and provide solutions for improving the performance of large-scale, data-intensive systems. The findings demonstrate the potential for using HPC to optimize database operations, particularly in systems where high-volume transaction processing is a critical requirement. Future work will explore advanced parallelization strategies, fault tolerance mechanisms, and integrations with distributed databases and blockchain systems. This research contributes to the growing body of knowledge on optimizing transaction processing in high-performance computing environments, with potential applications across various sectors, including financial services, e-commerce, and blockchain technology. © 2024 ieee.

关键词： Blockchain

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Whole-Body control with Motion/Force Transmissibility for Parallel-Legged Robot

Whole-Body Control with Motion/Force Transmissibility for Pa...

引用

ieee/RSJ international conference on intelligent Robots and systems (IROS)

作者： Wang, Jiajun Han, Gang Ju, Xiaozhu Zhao, Mingguo Beijing Res Inst UBTECH Robot Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China Tsinghua Univ Beijing Innovat Ctr Future Chips Beijing Peoples R China

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

For achieving kinematically suitable configurations and highly dynamic task execution, an efficient way is to consider robot performance indices in the whole-body control (WBC) of robots. However, current WBC methods have not considered the intrinsic features of parallel robots, especially motion/force transmissibility (MFT). This paper proposes an MFT-enhanced WBC scheme for parallel-legged robots. Introducing the performance indices of MFT into a WBC is challenging due to the nonlinear relationship between MFT indices and the robot configuration. To overcome this challenge, we establish the MFT preferable space of the robot offline and formulate it as a polyhedron in the joint space at the acceleration level. Then, the WBC employs the polyhedron as a soft constraint. As a result, the robot possesses high-speed and high-acceleration capabilities by satisfying this constraint. The offline preprocessing relieves the online computation burden and helps the WBC achieve a 1kHz servo rate. Finally, we validate the performance and robustness of the proposed method via simulations and experiments on a parallel-legged bipedal robot.

关键词： Linear systems Legged locomotion Parallel robots Robustness Trajectory Planning Servomotors

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A DC Microgrid Attack Detection Strategy based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise

A DC Microgrid Attack Detection Strategy based on Complete E...

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2023 international conference on Smart Electrical Grid and Renewable Energy, SEGRE 2023

作者： Wen, Mengfei Wen, Yian Zhang, Yu Zhang, Zhongke Zhu, Ren Changsha Preschool Education College School of Information Technology Changsha China Changsha University of Science and Technology School of Electrical and Information Engineering Changsha China Central South University School of Computer Science and Engineering Changsha China Changsha Preschool Education College School of Preeducation Changsha China

ISBN: (纸本)9798350323269

With the continuous development of renewable energy technologies and intelligent control systems, DC microgrids have become a popular direction for the development of future energy systems with the advantages of high efficiency and flexibility. However, because DC microgrids are closely connected to the Internet, their complex network structures and communication protocols make them easy targets for cyber attacks. Therefore, this paper proposes an attack detection strategy based on the complete ensemble empirical mode decomposition with adaptive noise for detecting abnormal output data in DC microgrids. First, the voltage signal with a fast response rate is analyzed based on the effect of data injection on the output of DC microgrids. Secondly, sufficient feature extraction is performed on the output voltage using complete set empirical mode decomposition. Then, calculate the energy of the decomposed feature mode function, and set an anomaly threshold detection scheme based on the energy interval during normal operation of the DC microgrid to complete the detection of the abnormal output of the DC microgrid. Finally, the simulation verifies the reliability and effectiveness of the proposed detection strategy. © 2023 ieee.

关键词： Renewable energy resources

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A Digital Twin Model Construction Method for Ships 11

A Digital Twin Model Construction Method for Ships

引用

11th ieee international conference on Computer Science and Network technology, ICCSNT 2023

作者： Liang, Kaixin Chen, Yuehong Zhang, Qi Systems Engineering Research Institute Cssc Beijing China

ISBN: (纸本)9798350311594

Digital twin technology can make the dynamic mapping of physical space and digital space, which can enable the transformation and upgrading of R&D, manufacturing and operation modes of industry and manufacturing. Applying digital twin technology to ship design and manufacturing can realize intelligent control and operation of ships. In this paper, a digital twin model construction for ships is proposed, including virtual scene generation system, digital twin sensor system, digital twin hull model, digital twin power system, digital twin security system and other functional models, which can support scheme generation, scheme pre-testing and task planning of navigation system and task system. © 2023 ieee.

关键词： Decision making

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HRSeg: Leveraging High-Resolution Images to Enhance Polyp Segmentation Quality 15

HRSeg: Leveraging High-Resolution Images to Enhance Polyp Se...

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15th international conference on Knowledge and systems Engineering, KSE 2023

作者： Nguyen, Huy-Hoang Nguyen, Thi-Oanh Hanoi University of Science and Technology Soict Hanoi Viet Nam

ISBN: (纸本)9798350329742

The use of Artificial Intelligence (AI) to segment polyps in medical imaging has the ability to significantly enhance the accuracy and speed of diagnoses, ultimately leading to improved patient outcomes. However, current segmentation methods for polyp images have limitations in accurately segmenting small polyps due to lack of data and the complexity of distinguishing polyp tissues from their surrounding environments. To tackle this issue, we proposed a novel approach named HRSeg, which exploits both high resolution (HR) and low resolution (LR) images to provide comprehensive information and context, resulting in improved segmentation accuracy. Our method achieves an average increase of 0.3% in mDice when being trained with the same dataset as the state-of-the-art model. Furthermore, when being trained with augmented data, our HRSeg approach demonstrates an average increase of 3.2% in mDice. Our implementation is available at https://***/dranhclub/HRSeg. © 2023 ieee.

关键词： Semantic Segmentation

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Construction and Application of a Low-Carbon Energy Management Platform Based on Digital Twin technology 4

Construction and Application of a Low-Carbon Energy Manageme...

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4th international conference on Smart Grid and Energy Internet, SGEI 2024

作者： Feng, Zhenyuan Xu, Jin Zhan, Haisong Chen, Ji Zhang, Mingbao Shi, Jiawei Wang, Keyou Zheng, Xiangming State Grid Zhejiang Electric Power Company Jiaxing Power Supply Company Jiaxing China Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai China Dongfang Electronics Co. Ltd. Yantai China Beijing Join Bright Digital Power Technology Co. Ltd. Beijing China Hunan University of Technology Zhuzhou China

ISBN: (纸本)9798350368314

This paper introduces the architectural design of a low-carbon energy management platform based on digital twin technology and its application in low-carbon communities. Through this platform, real-time monitoring, simulation, and optimization of physical energy systems can be achieved, enhancing energy utilization efficiency and significantly reducing carbon emissions. The paper details the platform’s three-tier architecture design and, using the demonstration case of the South Lake Red Ship, explores the platform’s effectiveness in clean energy consumption, real-time simulation, and carbon neutrality management. Practical results show that the platform not only improves the operational efficiency of energy systems but also significantly reduces CO2 emissions, promoting the intelligent and sustainable development of energy management systems. ©2024 ieee.

关键词： Digital Twin Energy Management Low-Carbon Communities Real-Time Simulation

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Modeling and Simulation of an Elastic Passive Joint for Non-flipping Jumping Robot

Modeling and Simulation of an Elastic Passive Joint for Non-...

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2024 ieee international conference on Real-Time Computing and Robotics, RCAR 2024

作者： Li, Qi Peng, Liang Wu, Zhiyuan Ye, Pengda Zhang, Weitao Xu, Yi Shi, Qing Beijing Institute of Technology Intelligent Robotics Institute School of Mechatronical Engineering Beijing100081 China Beijing Institute of Technology Ministry of Education Key Laboratory of Biomimetic Robots and Systems Beijing100081 China

ISBN: (纸本)9798350372601

To enhance the environmental adaptability of small-sized robots, jumping is commonly employed to achieve high mobility and obstacle-clearing capabilities. However, the prevalent problem of flipping in jumping robots limits their practical applications. Instead of adding extra control mechanisms and actuators, we propose an elastic passive joint (EPJ) to mitigate flipping. By incorporating a revolute joint, a switch, and a spring at the base of the hindleg, the leg can rotate around the body during the take-off phase, with the spring absorbing angular kinetic energy to reduce excessive angular velocity. We conducted dynamic modeling and a series of simulations to optimize the EPJ's position and stiffness. The simulation results indicate that with the EPJ in operation, adjusting the axis position slightly results in a zero-point for angular velocity. Additionally, the optimal spring stiffness of 1566 N/m ensures a non-flipping jump, which decreases the jumping height but improves the jumping distance. © 2024 ieee.

关键词： Kinetic energy

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Implementation of Block Chain, IoT and Role-basis Data Access control (RBAC) for intelligent Manufacturing 7

Implementation of Block Chain, IoT and Role-basis Data Acces...

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7th international conference on Inventive Computation Technologies, ICICT 2024

作者： Kaushal, Rajanish Kumar Kumar, S. M. Ravi Chellaiah, Pandeeswaran Pundir, Sumit Maranan, Ramya Krishnaiah, Nallam Chandigarh University Department of Electrical Engineering Mohali Punjab Gharuan India G. Pullaiah College of Engineering And Technology Department of Mechanical Engineering Andhra Pradesh Kurnool518452 India St. Joseph's College of Engineering Department of Computer Science And Engineering Tamil Nandu Chennai600119 India Graphic Era Deemed To Be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Saveetha School of Engineering SIMATS Department of Research And Innovation Tamil Nadu Chennai India St.Martin's Engineering Department of Information Technology Telangana Secunderabad500100 India

ISBN: (纸本)9798350359299

Various recommendations for predicting the dependability and quality of equipment contribute to the success of intelligent manufacturing systems. Numerous Role basis access control (RBAC) techniques are being investigated for this purpose. Data security and administration is another industry concern that is regarded as crucial. To surmount the challenges, The proposed work integrates block chain and Role basis access control (RBAC) to secure system transactions and manage a dataset to combat the forgery dataset. Big data techniques were used to manage and examine the collected dataset. Based on the hybrid prediction technique, the aspect of defect diagnosis prediction was evaluated on-linear Role basis access control (RBAC) techniques which are mainly used for estimating the system's complex background and figuring out its true positive rate. This was done to evaluate the proposed system's quality control. © 2024 ieee.

关键词： Access control

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Real-Time Implementation Of PID control For Unmanned Surface Vessel: A Practical Approach 9

Real-Time Implementation Of PID Control For Unmanned Surface...

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9th ieee international conference on Electronics, Computing and Communication Technologies, CONECCT 2023

作者： Kotian, Rakshith Umesh, Pruthviraj Gangadharan, K.V. National Institute of Technology Karnataka Department of Mechanical Engineering Mangalore Surathkal575025 India National Institute of Technology Karnataka Department of Water Resources and Ocean Engineering Mangalore Surathkal575025 India

ISBN: (纸本)9798350334395

This research presents the development and implementation of a Proportional-Integral-Derivative (PID) controller on an unmanned surface vessel (USV). Testing control system involves the verification and validation of the cyber Physical System as a whole, ensuring that it meets the desired performance and safety requirement. Paper Describes the identification of control variables through empirical calculations later, which is evaluated through simulation and field trials were carried out. The implementation of the PID controller on the unmanned surface vessel showed promising results in controlling the vessel's motion and maintaining stability. However, the research also highlighted some challenges and limitations in the implementation, such as the need for further testing in realistic and dynamic environments. In the upcoming phases of this project, the team intends to enhance their work by devising a path-following algorithm that can handle intricate environments. Overall, the research contributes to the advancement of the field of unmanned surface vessels by providing a reliable and efficient control method for these systems. © 2023 ieee.

关键词： Three term control systems

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