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Beyond Traditional Boundaries: A Survey of Security Mechanisms in Software-Defined Networks 2

Beyond Traditional Boundaries: A Survey of Security Mechanis...

引用

2nd international conference on Emerging Trends in Information technology and Engineering, ic-ETITE 2024

作者： Ganeshan, Vaishnavi Manoj, B.S. College of Engineering Department of Computer Science & Engineering Kerala Trivandrum India Indian Institute of Space Science and Technology Department of Avionics Kerala Trivandrum India

ISBN: (纸本)9798350328202

The advent of Software-Defined Networking has revolutionized network management by decoupling the control and data planes, catering to diverse network requirements across various domains. SDNs may seem more secure than traditional networks, but they still have weaknesses and challenges in deployment. Due to its inherent flexibility and centralized control, this model change poses a risk to network integrity, confidentiality, and other security factors by introducing new vulnerabilities like packet spoofing and unauthorized access. In order to address some of the most significant security challenges with SDN implementations, we presented a thorough analysis in this paper that examined the risk associated with different SDN planes and APIs. A systematic review of the literature was carried out in order to explain the problem of potential attack situations and weaknesses. The various security suggestions that have been proposed or implemented for SDN are examined as well in this study. We also identify important research gaps based on the review of previous work that may facilitate further studies in this field. © 2024 IEEE.

关键词： Blockchain

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New multi-reactive power system cooperative optimal voltage control strategy 2

New multi-reactive power system cooperative optimal voltage ...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： Yang, Junting Fan, Dilong Zhu, Liang Zhang, Jiawu Ren, Haodong State Grid Gansu Electric Power Company Gansu Electric Power Research Institute Lanzhou730050 China

ISBN: (纸本)9798350368208

To address the voltage instability and power quality issues in distribution networks caused by the fluctuations of distributed energy and loads, a collaborative optimization scheme for multiple reactive power compensation devices is proposed. This scheme aims to optimize reactive power by minimizing voltage deviation, network loss and reactive power compensation cost. The reactive power optimization of the IEEE 33-node system with wind farms and photovoltaic power stations connected was simulated and analyzed using MATLAB software, and multiple collaborative optimization schemes for reactive power compensation devices were designed and solved by genetic algorithm. By comparing different schemes, the effectiveness and correctness of the proposed scheme were verified. © 2024 IEEE.

关键词： Power distribution networks

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Investigating the Segment Anything Model for Crop Head Counting in Cereal Crops 2nd

Investigating the Segment Anything Model for Crop Head Count...

引用

2nd international conference on Agriculture-Centric Computation

作者： Tejasri, N. Rajalakshmi, P. Balram, M. Balaji, N. Desai, Uday B. IIT Hyderabad Dept Artificial Intelligence Hyderabad Telangana India IIT Hyderabad Dept Elect Engn Hyderabad Telangana India PJTSAU Inst Biotechnol Hyderabad Telangana India PJTSAU Dept Agron Hyderabad Telangana India

ISBN: (纸本)9783031744396;9783031744402

Effectively harnessing computer vision techniques powered by supervised deep learning in precision agriculture requires extensive data gathering and meticulous ground truth annotation that involves human effort. The emerging vision-based foundational models in Artificial Intelligence (AI) are gaining notable importance. Recently, Meta AI Research introduced a general, promptable Segment Anything Model (SAM) that has undergone pre-training on an extensive dataset dedicated to segmentation (SA-1B). Without additional training, this model is known to demonstrate its ability to generalize effectively to novel objects. This research assesses the effectiveness of the Segment Anything Model (SAM) in precision agriculture, specifically in counting crop heads within cereal crops such as paddy, wheat, and maize.

关键词： Segment Anything Model Precision Agriculture computer Vision Instance Segmentation Cereal Crop Crop head counting

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Leveraging Blockchain for Secure IoT Device Communication in Smart Cities 2

Leveraging Blockchain for Secure IoT Device Communication in...

引用

2nd IEEE international conference on IoT, Communication and Automation technology, ICICAT 2024

作者： Obaid, Saif Sharma, Ashish Balaji, S. Muthu Mangaiyarkarasi, V. Chythanya, Nagaraju Krishna Praveenkumar, C. The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq GLA University Department of Computer Engineering & Applications Mathura India CMR College of Engineering & Technology Department of ECE India New Prince Shri Bhavani College of Engineering and Technology Department of ECE Tamil Nadu Chennai600073 India GRIET Department of CSE Telangana Hyderabad India Sri Ramakrishna Engineering College Department of EEE Coimbatore India

ISBN: (纸本)9798350368109

In this paper we focus on utilising blockchain for IoT devices in smart cities to meet the major issues including security, scalability and energy consumption. A permissioned blockchain architecture with a light-weight consensus model is discussed for implementing a Decentralized and Secure IoT Internet. It encompasses data gathering from different IoT devices, design of the blockchain network and assessment of its performance in a simulated smart city context. Static analysis show that the proposed solution provides protection against various types of IoT attacks and has a similar performance to the traditional networks, with latencies and energy consumption only slightly increased. From the works done, the proposal that blockchain has the potential to offer security and efficiency in the IoT communications in future smart city applications emerges. © 2024 IEEE.

关键词： Blockchain Decentralization IoT Security Smart Cities

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Time Dilation Principle to Solve Game Problems of control 2nd

Time Dilation Principle to Solve Game Problems of Control

引用

2nd international conference on Information Technologies and Their Applications

作者： Chikrii, Arkadii Chikrii, Greta Kuzmenko, Viktor VM Glushkov Inst Cybernet NASU 40 Pr Akademika Glushkova UA-03187 Kyiv Ukraine

ISBN: (纸本)9783031734199;9783031734205

This paper outlines a method for solving the game problem of convergence of the generalized quasi-linear non-stationary system trajectory with the cylindrical terminal set whose body part depends on time. The method of resolving functions stands for the theoretical basis of investigation. We examine the situation when Pontryagin's condition, reflecting an advantage in control resources of one of the opposing sides, does not hold. Because of this, with the help of a certain scalar function, we construct the modified condition. This function is called the function of time dilation. Fulfillment of this condition provides an opportunity for the pursuer, based on the Filippov-Castaing theorems on measurable choice, to build control which guarantees successive solution of the problem at hand. In so doing, the technique of set-valued mapping and their selections is applied. The process of convergence consists of two parts - active and passive. control of the first player is constructed in view of his opponent's control in the past, namely with a certain time delay depending on the function of time dilation. We obtain sufficient conditions for convergence in a finite time in the class of quasi-strategies, and, under additional conditions, in the class of stroboscopic strategies with delay.

关键词： conflict-controlled process set-valued mapping Pontryagin's condition the function of time dilation measurable choice Minkowski' geometric difference Aumann integral

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Object Detection and Identification for Visually Impaired 2

Object Detection and Identification for Visually Impaired

引用

2nd IEEE international conference on Networking and communications, ICNWC 2024

作者： Lourdes Santhosh, S. Jegathiswaran, R. Thendral, M. Tamil St. Joseph's Institute Of Technology Science and Engineering Department of Computer Chennai India

ISBN: (纸本)9798350365269

Visual impairment takes a major toll in a person's life for them to act independently without others help. This paper introduces an assistive technology that makes use of the YOLO (You Only Look Once) algorithm integrated into wearable spectacles along with a camera linked to a Raspberry Pi processor. The system aims to perform real-time object detection and identification, transforming visual data into audio feedback for users. The hardware setup involves a camera connected to a Raspberry Pi for data processing captured using the camera. An earphone is connected to the Raspberry Pi to guide and navigate the user. The YOLO algorithm, specifically optimized for real-time usage on the Raspberry Pi, distinguishes objects captured within the camera's view. Consequently, the system translates this visual data into understandable audio information transmitted to users via connected earphones by using the trained data. This paper introduces a methodology, execution, and outcomes of the proposed system. It offers a thorough insight into the hardware configuration, the algorithmic framework employed for object detection, and the integration methodology for generating audio-based feedback. Evaluations of the system's performance is calculated by its efficacy, swiftness, and precision in real-world situations, highlighting its potential to aid visually impaired individuals in understanding unfamiliar environments. © 2024 IEEE.

关键词： Object detection

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Information Prediction of Groundwater Pollution Sources Based on Improved Random Forest Algorithm 2

Information Prediction of Groundwater Pollution Sources Base...

引用

2nd IEEE international conference on control, Electronics and computer technology, ICCECT 2024

作者： Huang, Xiaoping Palaoag, Thelma Domingo Nanfang College Department of Art Design & Creative Industries Guangdong Guangzhou510970 China College of Information Technology and Computer Science University of the Cordilleras Baguio City2600 Philippines

ISBN: (纸本)9798350380958

The prediction of information regarding groundwater pollution sources is a crucial prerequisite for effective control and restoration of groundwater pollution. However, the inherent complexity and uncertainty within groundwater systems often result in substantial errors and limitations when employing traditional prediction methods. In response to these challenges, this research paper proposes a novel information prediction approach for groundwater pollution sources, leveraging an enhanced random forest algorithm. This method strategically combines the global and local search capabilities of an algorithm with a groundwater flow and migration model. The objective is to predict essential details such as the location, intensity, release time, and duration of groundwater pollution sources. To enhance the convergence speed of the algorithm and the quality of solutions, the paper introduces several improvements to the random forest algorithm. The enhancements encompass the introduction of an adaptive parameter adjustment mechanism, the incorporation of various neighborhood search strategies, and the adoption of a multi-objective optimization framework. Notably, the improved random forest algorithm utilizes Sobol sequences during initialization to diversify and homogenize the solution set. Simultaneously, a crisscross strategy is employed to bolster the local search capabilities, thereby enhancing solution accuracy and stability. Validation of the proposed method is conducted through both numerical experiments and real-world case analyses. The findings affirm the effectiveness and superiority of the enhanced random forest algorithm. Moreover, the research establishes the feasibility and practicality of this approach. The article, therefore, presents a novel concept and tool for predicting information related to groundwater pollution sources. It furnishes a scientific foundation and technical support crucial for the control and restoration of groundwater pollution. © 2024 IE

关键词： Groundwater

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Smart Helmet for Riders to Avoid Accidents Using IoT 2

Smart Helmet for Riders to Avoid Accidents Using IoT

引用

2nd international conference on computer, Communication and control, IC4 2024

作者： Bhagya Lakshmi, A. Ragunath, C. Yeswanth, Raja Rajkumar, M. Easwari Engineering College Computer Science and Engineering Chennai India

ISBN: (纸本)9798350387933

MotorBike accidents are rampant due to the negligence of helmet use, resulting in injuries and fatalities. To address this, a solution emerges in the form of smart helmets with integrated control systems. This project aims to enhance road safety for motorcyclists by preventing the bike from starting unless the rider wears the helmet. The innovation comprises an RF receiving system and RF transmitter. With the persistent surge in motorcycle accidents, the imperative to prioritize safety has led to this technological intervention, potentially saving countless lives. By enforcing helmet usage through a fail-safe mechanism, the smart motorcycle helmet seeks to curb the violation of traffic laws and mitigate the devastating consequences of accidents. The smart motorcycle helmet includes an alcohol sensor to detect intoxication in the rider. If alcohol is detected, a red light on the helmet illuminates, providing a visible indication of impairment. © 2024 IEEE.

关键词： Internet of things

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PID Steering control for Lane Keeping Assist based on IMU Sensor and ROS 2

PID Steering Control for Lane Keeping Assist based on IMU Se...

引用

2nd IEEE international conference on Electrical Engineering, computer and Information technology, ICEECIT 2024

作者： Siagian, Marco Yosafat Salim, Taufik Ibnu Manurung, Philippians Firmansyah, Rendra Dwi Putrasari, Yanuandri Wahono, Bambang Wardana, Muhammad Khristamto Aditya Anam, Khairul Del Institute Of Technology North Sumatra Indonesia Research Center for Smart Mechatronics National Research and Innovation Agency Bandung Indonesia Faculty Del Institute Of Technology North Sumatra Indonesia Intelligent System and Robotics CDAST UNEJ Jember Indonesia

ISBN: (纸本)9798331504373

This study presents the development and implementation of a PID steering control system for lane-keeping assistance using an IMU sensor and ROS (Robot Operating System). The system leverages the capabilities of the Teensy 4.1 microcontroller and the HWT905-TTL IMU sensor to maintain precise steering adjustments, crucial for autonomous vehicle applications. The PID controller, designed to respond dynamically to real-time feedback, ensures that the motor reaches designated target angles, even under varying test conditions. The control system was tuned experimentally to achieve optimal response times, resulting in a rise time of approximately 2 seconds, a steady-state error within ±1-2 degrees, and a maximum overshoot of 4.09%. Performance metrics such as the Integral of Squared Error (ISE) and the Integral of Time-weighted Squared Error (ITSE) further confirmed system accuracy and stability over time. Results indicate that the proposed control system effectively maintains lane-keeping with minimal error, demonstrating potential for future deployment in real-world autonomous driving scenarios. Future work will focus on enhancing system adaptability through advanced tuning techniques and sensor fusion to improve robustness in dynamic environments. © 2024 IEEE.

关键词： Microcontrollers

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Emergency Vehicle Detection Using Deep ConvNet2D and computer Vision 2

Emergency Vehicle Detection Using Deep ConvNet2D and Compute...

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2nd international conference on Emerging Trends in Information technology and Engineering, ic-ETITE 2024

作者： Poongavanam, Elumalaivasan Prathik, A. Munirathinam, T. Kayalvizhi, V. Rajesh, R. Mahavishnu, C. Srm Institute of Science and Technology Department of Data Science and Business Systems Chennai Kattankulathur India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Sona College of Technology Department of Information Technology Salem India School of Computer Science and Engineering and Information Science Presidency University Bangalore India School of Computer Science and Engineering Vellore Institute of Technology Chennai India Shreenivasa Engineering College Department of Computer Science and Engineering Dharmapuri India

ISBN: (纸本)9798350328202

A surveillance system detects emergency vehicles stuck in traffic. This system helps manage traffic because the number of vehicles on the road has been increasing daily for years, causing congestion. This project implements Deep ConvNet2D (Convolutional Network 2D) and computer Vision emergency vehicle recognition. We propose a CNN-based real-time image processing model for emergency vehicle detection. The signal control unit can be set to terminate the round robin sequence when an emergency vehicle is detected. A CNN trained on Indian ambulance images solves the problem. Tensor Flow, a Python library, was used for training. Our method detects and classifies emergency cars well. Existing systems use ANN algorithm, which is inaccurate and inefficient. The system uses Deep ConvNet2D Algorithm. The proposed real-time system is accurate. The proposed system loads and executes faster than the existing system. The system is efficient, scalable, and enhanced for complex use cases. © 2024 IEEE.

关键词： Real time systems

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