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Holistic Security Approach in Cybersecurity Services for Datacenters and Telecommunication Operators

Holistic Security Approach in Cybersecurity Services for Dat...

引用

IEEE international conference on Performance, Computing and Communications (IPCCC)

作者： Kasım Öztoprak Yusuf Kursat Tuncel Department of Computer Engineering Konya Food and Agriculture University Konya Turkey

This study examines and presents a resolution for Protocol Independent Switch Architecture (PISA) to handle data at the application layer, facilitating the precise inspection of security traffic, particularly in relation to DDOS attacks. The primary objective of this approach is to empower telecommunication operators to develop their own networking code within a hardware environment, granting them the ability to write code for hardware-level operations. This strategy also simplifies the process of modeling equipment in a simulation environment, as all components of a hardware switch run compatible code in a software-modeled switch. The innovative techniques proposed in this paper leverage the key functionalities of a programmable switch and combine them with the streaming data processor to achieve the desired outcomes from the perspective of a telecommunication operator, reducing costs and enabling comprehensive network management. The findings demonstrate that the suggested employment of PISA switches remarkably enhances the detection of DDOS attacks. This capability assists operators in bridging a significant gap between flexibility and scalability by efficiently utilizing limited compute resources for DDOS attack detection and response. The study helps to build a building block for a holistic security system combined by deep packet inspection systems and DDOS prevention systems.

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Chinese Implicit Sentiment Analysis based on Hybrid Neural Networks 7

Chinese Implicit Sentiment Analysis based on Hybrid Neural N...

引用

2020 7th international conference on computer-Aided Design, Manufacturing, modeling and simulation, CDMMS 2020

作者： Qi, Yanfang Wang, Chao Zhu, Guoan School of Computer and Artificial Intelligence Lanzhou Institute of Technology Lanzhou Gansu730030 China School of Computer Science and Engineering Wuhan Institute of Technology Wuhan Hubei430000 China Department of Computer Science and Technology College of Engineering Yanbian University Yanji133002 China

Implicit sentiment analysis is an important part of sentiment computing, especially sentiment analysis based on deep learning has become a research hotspot in recent years. In this paper, convolutional neural networks are used to extract text features, combined with long-term and short-term memory network (LSTM) structure to extract context information, and add attention mechanism to the network to construct a new hybrid neural network model to achieve implicit emotion for text analysis. The hybrid neural network model extracts more meaningful sentence semantic and structural hidden features from the word-level and sentence-level hierarchies, respectively, and pays attention to the features with a large emotional contribution rate through the attention mechanism. The classification accuracy rate of the model on the public implicit sentiment dataset has reached 77%. The research of implicit sentiment analysis can improve the effect of text sentiment analysis more comprehensively, and further promote the application of text sentiment analysis in the fields of knowledge embedding, text representation learning, user modeling and natural language. © Published under licence by IOP Publishing Ltd.

关键词： Sentiment analysis

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Virtual simulation of Lathe Machining Training Based on Unity3D 3

Virtual simulation of Lathe Machining Training Based on Unit...

引用

3rd international conference on computer Information Science and Application Technology (CISAT)

作者： Shen, Bin Chen, Baoqi Wang, Yanwu Wuhan Donghu Univ Wuhan 430212 Hubei Peoples R China

In this paper, through the use of SolidWorks three-dimensional software for the lathe three-dimensional modeling, the lathe three-dimensional model can more intuitively express the structure of the lathe. Through the analysis of the reducer shaft, this paper developed the machining process, and then the solid modeling of the shaft, and finally through the Unity3D software for the reducer shaft machining simulation analysis.

关键词： Lathes

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Performance Analysis of Covert Communication Based on Integrated Satellite Multiple Terrestrial Relay Networks

Performance Analysis of Covert Communication Based on Integr...

引用

international conference on computer and Communications (ICCC)

作者： Zeke Wu Haifeng Shuai Rui Liu Kefeng Guo Shibing Zhu School of Space Information Space Engineering University Beijing China

With the arrival of the sixth generation (6G) mo-bile communication technology, one of its signature features is satellite-terrestrial fusion communication. Hence, integrated satellite multiple terrestrial relay network (ISMTRN) has become an emerging network architecture that has recently attracted much attention from scholars. Nevertheless, because of the open nature of the wireless channel, it inevitably leads to security issues. Moreover, covert communication technology has been considered one of the most promising and effective methods for secure communication. This paper explores the ISMTRN's covert performance with partial relay selection scheme. Particularly, one scenario that when a satellite communicates with one user via relaying, the specific relay may transmit covert information to the user is considered. Furthermore, we derive the closed-form expression of probability of detection error (PDE) to evaluate covert performance. Lastly, by virtue of numerical simulation, the influence of related system parameters on covert performance is investigated.

关键词： Wireless communication Satellites Closed-form solutions Computational modeling simulation Relay networks (telecommunication) Numerical simulation

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An Energy-Efficient Multi-bit Current-based Analog Compute-In-Memory Architecture and design Methodology

An Energy-Efficient Multi-bit Current-based Analog Compute-I...

引用

international conference on VLSI Design

作者： Dinesh Kushwaha Ashish Joshi Neha Gupta Aditya Sharma Sandeep Miryala Rajiv V. Joshi S. Dasgupta Anand Bulusu Department of Electronics and Communication Engineering Indian Institute of Technology Roorkee Roorkee Uttarakhand India Intel Technology India Pvt. Ltd. Bangalore Karnataka India Brookhaven National Laboratory Upton USA Thomas J. Watson Research Center Yorktown Heights NY USA

An energy-efficient and multi-bit (4b) current-based analog compute in-memory (CIM) architecture is proposed in this paper. In current-based analog CIM schemes, multiplication and-accumulate (MAC) operation is performed on bitline, and resultant output is equivalent to bitline voltage drop $(\Delta \mathbf{V}_{\text{RBL}})$ . However, dependence of $\Delta \mathbf{V}_{\text{RBL}}$ on process, voltage and temperature (PVT) variations and analog non-idealities (ANIs), reduces the signal-to-noise ratio (SNR) of MAC and degrade the computation accuracy of MAC in analog CIM architecture. An analytical model of $\Delta \mathbf{V}_{\text{RBL}}$ to predict the computation accuracy of MAC in current-based analog CIM architecture through a single SPICE simulation is presented in this paper. The proposed model determines the dynamic range of analog input voltage $(\boldsymbol{V}_{a})$ on the bitline for linear MAC operation for a given technology node. This model also provides a design methodology to predict computation accuracy of MAC and optimize design parameters for current-based analog CIM architecture with the modelling error of 1.1% in SPICE simulations. The implementation of the proposed CIM architecture and model validation are done using a standard 65nm CMOS technology. The proposed architecture achieves $13\times$ energy-efficiency and $2.5\times$ reduction in latency for 4-b multiplication and accumulation (MAC) operation than state-of-the-art. The proposed CIM architecture achieves $13\times$ improvement in Figure of Merit (FoM).

关键词： Semiconductor device modeling Computational modeling Design methodology computer architecture Voltage Predictive models SPICE

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Deep Learning-Powered Edge Analytics for IoT-based Sensor Networks

Deep Learning-Powered Edge Analytics for IoT-based Sensor Ne...

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Machine Learning and Autonomous Systems (ICMLAS), international conference on

作者： M. Saravana Karthikeyan Ponnusamy Subramani M. Panneer Selvam M. L. Sworna Kokila R. Vijayalakshmi P. Sundaravadivel Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Chennai India Department of Physics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Electrical and Electronics Engineering Sona College of Technology Salem India Department of Computing Technologies Faculty of Engineering and Technology School of Computing SRM Institute of Science and Technology Kattankulathur Chennai India Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai India Department of Artificial Intelligence and Machine Learning Saveetha Engineering College Chennai India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

The rapid expansion of loT-based sensor networks has necessitated the development of efficient edge analytics frameworks to process vast amounts of data in real time while minimizing computational overhead. Deep learning-powered edge computing has emerged as a transformative approach, enhancing data processing capabilities at the network edge while addressing constraints related to latency, bandwidth, and energy consumption. This study introduces a novel algorithm, Lightweight AI Model Compression for Energy-Efficient IoT Edge Devices (LiteEdgeAI), designed to optimize deep learning models for resource-constrained edge environments. The proposed method employs quantization, pruning, and knowledge distillation techniques to achieve significant reductions in model size and computational complexity while maintaining high inference accuracy. To validate the efficiency of LiteEdgeAI, a comparative simulation analysis was conducted against existing state-of-the-art algorithms using key performance metrics such prediction accuracy, energy efficiency and computational complexity. Experimental results demonstrated that LiteEdgeAI outperformed baseline models. The findings highlight the potential of LiteEdgeAI in enabling scalable, low-power, and real-time edge intelligence for IoT-based sensor networks.

关键词： Deep learning Adaptation models Accuracy Computational modeling Predictive models Prediction algorithms Energy efficiency Real-time systems Internet of Things Computational complexity

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Formal Model for Control of Autonomous Navigation

Formal Model for Control of Autonomous Navigation

引用

international conference on Sciences and Techniques of Automatic Control and computer Engineering (STA)

作者： Hela Kadri Riheb Cherif Abdel Aitouche Rochdi Merzouki CRISTAL Lille University France ESME ESME Research Lab Lille France Junia Lille CRISTAL France

ISBN: (纸本)9781665482622

Formal modeling techniques can be exploited for autonomous vehicle modeling, enabling resilient navigation inside container terminals (CTs). Road vehicles will be characterized by a new intelligent vehicle technology such as Intelligent Autonomous vehicle (IAV) compared to the trucks, which are able to bring containers within the Terminal Container (TC) based on GPS. In the TC, electric unmanned aerial vehicles (UAVs) present in the TC are able to emulate redundant positioning data from the IAV, where its signals are disturbed within the corridor of containers. Petri nets are formal models suitable for modeling and controlling classes of systems such as transportation systems. They allow to control the movement of the IAV while reconstructing the positioning data of the IAV. This is ensured by GPS or by communication between the IAV that loses its position and the IAV s close to it, the other drones, and the crane. Thus, this paper proposes a reconfiguration strategy for the IAV to manage its navigation under resilient conditions, even if it loses its own GPS signal. simulation results and perspectives are presented in this paper.

关键词： Analytical models Cranes Navigation Computational modeling simulation Petri nets Transportation

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Extended Finite State Machine based Fault Tolerance in WSN

Extended Finite State Machine based Fault Tolerance in WSN

引用

international conference on Computing Methodologies and Communication (ICCMC)

作者： D. Lekha Ahsan Shariff M S. Venkata Lakshmi Anwar Basha H Department of Computer Science and Engineering RMK College of Engineering and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Aalim Muhammed Salegh College of Engineering Chennai Tamil Nadu India Artificial Intelligence and Data Science Sri Krishna College of Engineering and Technology Coimbatore Tamil Nadu India School of Computer Science And Engineering REVA University Bengaluru Karnataka India

Wireless Sensor Network (WSN) suffers from different malware attacks. Several traditional approaches are proposed for detecting fault nodes in WSN. It is necessary to redistribute the nodes and detect the fault nodes while modifying the WSN parameters. Faults can occur in the nodes interrupting the continuous communication process of the nodes in the WSN. The main reason for a fault is also the induction of the energy drain in a node to the maximum possible level, failure of links in communicating nodes due to bandwidth constraints, and attacks induced by the malicious nodes. To solve this problems, Extended Finite State Machine based Fault Tolerance (EFSM_FT) in the WSN is used to detect the fault sensor nodes in the WSN. In this approach, called the finite state machine (FSM), state prompted is modified while a set of situations are true. Every node can be absolutely to be faulty or not establishing on the sensor node states. Using sensor energy, drop rate, forward sensor rate, sensor obtained rate, bandwidth, and transmission delay, this method finds the node with the fault. As a result, this approach accurately detects the faulty nodes in the WSN. The simulation outcomes illustrate the proposed method has a better fault detection ratio and minimizes the false negative ratio in the WSN.

关键词： Fault diagnosis Wireless sensor networks Fault tolerance Fault detection Computational modeling Fault tolerant systems Automata

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SLInKi: State Lattice based Inverse Kinematics - A Fast, Accurate, and Flexible IK Solver for Soft Continuum Robot Manipulators 17

SLInKi: State Lattice based Inverse Kinematics - A Fast, Acc...

引用

17th IEEE international conference on Automation Science and Engineering (CASE)

作者： Chiang, Shou-Shan Yang, Hao Skorina, Erik Onal, Cagdas D. Worcester Polytech Inst Robot Engn & Mech Engn Dept Worcester MA 01609 USA

ISBN: (纸本)9781665418737

Soft continuum robots offer unique properties that cannot be achieved using rigid linkage-based robotic bodies. Their dexterity and intrinsic compliance deliver the ability to navigate constrained environments and operate in unprecedented ways. Although the Jacobian velocity matrix based method is a widely used approach to solve inverse kinematics (IK) problems for traditional rigid robots, its draw-backs emerge while solving IK problems of continuum robots, such as high computational cost with no solution guarantees. Attempts to provide alternative solutions must overcome the computational complexity and vast functional workspace of continuum manipulator postures. Here, we propose a heuristic approach, the State Lattice based Inverse Kinematics Solver (SLInKi), which uses concepts originally developed for solving path-finding problems to solve the IK problem of a soft continuum robot. This algorithm is intuitive, runs in real time, and combines the strengths of two algorithms in a unique package that surpasses existing methods in adjustability and efficiency. Several simulation case studies and real robot experiments demonstrate that the proposed approach is flexible, computationally efficient, and highly accurate compared to the state of the art.

关键词： Jacobian matrices computer aided software engineering Navigation conferences Computational modeling Lattices Kinematics

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Bullet Engraving Automated Comparison Optimization Method Based on Second Moment Invariant 3

Bullet Engraving Automated Comparison Optimization Method Ba...

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2020 3rd international conference on modeling, simulation and Optimization Technologies and Applications, MSOTA 2020

作者： He, Chenggang Ding, Chris H. Q. Chen, Sibao Wang, Jiaxin Tan, Shicheng Key Lab of ICandSP of Moe School of Computer Science and Technology Anhui University Hefei China School Department of Computer Science and Engineering University of Texas at Arlington ArlingtonTX United States

In the research of bullet engraving comparison method at home and abroad, the traditional method is through visual observation by microscope, comparing line-Type engraving of two bullets to distinct whether the line match, which is inefficient and having big error. In this paper we proposed method based on moment invariant to identify the bullet engraving, which eliminate the actual measurement error (translation error and rotation error). Finally we get the high performance result of bullet engraving identifying based on second moment invariant. © Published under licence by IOP Publishing Ltd.

关键词： Errors

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