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检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

共 195487 条记录，以下是4791-4800 订阅

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Research on DoS Attack Traffic Detection for Industrial Control System 20

Research on DoS Attack Traffic Detection for Industrial Cont...

引用

20th international Computer conference on Wavelet Active Media technology and information Processing, ICCWAMTIP 2023

作者： Chen, Hong Liu, Sisi Yuan, Xiaoshu Huang, Yuanyuan Feng, Li Energy Equipment Cyber Security Key Laboratory of Sichuan Province Chengdu610016 China Chengdu University of Information Technology China

ISBN: (纸本)9798350318982

The rapid development of the Internet has brought convenience to the industrial control system, but also brought serious security problems of network attacks. DoS attack is the most common network traffic attack. The traditional abnormal traffic detection method has the problems of long model training time and high false alarm rate. Aiming at these problems, this paper proposes an optimization algorithm based on decision tree CART, as well as feature coding and feature classification of data. The experimental results show that the decision tree model has better performance than other machine learning models, and achieves a higher accuracy of 98.2 %. © 2023 IEEE.

关键词： Denial-of-service attack

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Continuous-Variable Quantum K-Means Clustering with Photonic Gaussian States 15

Continuous-Variable Quantum K-Means Clustering with Photonic...

引用

15th international conference on information and Communication technology Convergence, ICTC 2024

作者： Ul Haque, Abrar Cho, Jinsung Shin, Hyundong Kyung Hee University Department of Electronics and Information Convergence Engineering Korea Republic of

ISBN: (纸本)9798350364637

This paper presents a novel approach to the K-Means clustering algorithm using continuous variable (CV) quantum computing, specifically leveraging Gaussian states on quantum photonic hardware. We implement the algorithm uti-lizing Strawberry Fields, a platform for simulating and executing photonic quantum computations. The theoretical framework integrates Gaussian state preparation, quantum interference, and homodyne detection to perform the clustering tasks. We evaluate the performance of the CV quantum K-Means algorithm on var-ious datasets, focusing on clustering accuracy and compactness compared to classical K-Means. Our findings provide valuable insights into the potential of using CV quantum methods for clustering and highlight the feasibility of CV quantum algorithms in machine learning. These results suggest promising directions for future research to further enhance their performance. © 2024 IEEE.

关键词： Quantum computers

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Intelligent Recognition of Athlete's Erroneous Movements in Sports Training Under Artificial Intelligence technology 3

Intelligent Recognition of Athlete's Erroneous Movements in ...

引用

3rd IEEE international conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Xie, Huaicheng Xu, Liyu Chongqing College Of Architecture And Technology Chongqing China Chongqing Electronic Information College Chongqing China

ISBN: (纸本)9798350318609

To address the challenge of inaccuracies in human assessment of movement accuracy, the author suggests incorporating artificial intelligence technology into sports training. Leveraging the advancements in computer vision, this method involves athletes intentionally making incorrect movements during training sessions. By integrating intelligent recognition capabilities, particularly in identifying erroneous actions, this approach aims to enhance the overall accuracy of recognizing and rectifying flawed movements in sports training. So the author first introduced computer vision technology, which can perform digital analysis on captured images and has strong application performance. Then, the feature extraction of athlete movements is analyzed, and Bayesian algorithms are used to identify erroneous movements, resulting in a three-dimensional visual detection model. Finally, experimental research was conducted on the 3D visual detection model. The experimental results show that the accuracy of the algorithms proposed by the author is all greater than 90%, while the accuracy of traditional methods is only 70% -76%. While ensuring accuracy, it can ensure a high accuracy. The experimental results show that the method proposed by the author has significantly improved accuracy compared to conventional methods, and confirms its feasibility in identifying erroneous behaviors. © 2024 IEEE.

关键词： Feature extraction

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Research on UAV Fixed-Point Delivery Based on Dynamic Model

Research on UAV Fixed-Point Delivery Based on Dynamic Model

引用

2023 international conference on Applied Physics and computing, ICAPC 2023

作者： Liu, Chuang Yang, Jiqiang Anhui University of Science and Technology Huainan China

ISBN: (纸本)9798350359244

With the continuous development of UAV technology, UAV has been widely used in many fields, and obtaining accurate position information and using a flight control system with good performance is an important condition for achieving accurate fixed-point flight of UAV. Therefore, based on the kinematic model, this paper establishes the model of UAV delivery distance, flight altitude, flight speed and air resistance through Newton's second law, and studies the fixed-point delivery problem of UAV. In order to obtain more accurate position information, this paper quantifies the stability index through the state space model, and optimizes the stability index in combination with the gradient descent algorithm to maximize the hit accuracy, so as to obtain the relationship between UAV stability and variables. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Customer Relationship Management in the Digital Age by Implementing Blockchain for Enhanced Data Security and Customer Trust 2

Customer Relationship Management in the Digital Age by Imple...

引用

2nd international conference on Disruptive Technologies, ICDT 2024

作者： Saxena, Mudit Senthilkumar, N. Girimurugan, B. Ljb Anuhya, B.A.P. Hasan, Kesineni Sai Sanjay College of Computing Sciences and Information Technology Teerthanker Mahaveer University Moradabad India School of Management Studies Bannari Amman Institute of Technology Sathyamangalam India Business School Koneru Lakshmaiah Education Foundation A.P. Vaddeswaram522302 India

ISBN: (纸本)9798350371055

Using Blockchain in conjunction with industry leaders in digital marketing and technology might reimagine how customers interact with businesses. If businesses move quickly to take advantage of this potentially transformative technology, they will be in the best position to reap the benefits of its widespread adoption. In the following section, we will analyse the relationship between Big Data and digital marketing in light of the enormous volumes of digital data that are utilised by digital marketing organisations. The application and implementation of Blockchain technologies are highly dependent on the surrounding environment. Transactions on a blockchain ensure the confidentiality of user data by storing records in a decentralised ledger. The accuracy of the data is guaranteed due to the fact that it is stored on the blockchain and may be checked for accuracy at any time. On a blockchain, data blocks are automatically confirmed by recording information about their origin and the other blocks with which they have interacted. This information is then verified by the network. When a block is identified as having originated from an unconfirmed source, this occurrence takes place. © 2024 IEEE.

关键词： blockchain CRM security trust

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Data security and Integrity in Cloud computing 2

Data security and Integrity in Cloud Computing

引用

2nd international conference for Advancement in technology, ICONAT 2023

作者： Hasan, Muhammad Zulkifl Hussain, Muhammad Zunnurain Mubarak, Zaima Siddiqui, Adeel Ahmad Qureshi, Ali Moiz Ismail, Imran University of Central Punjab Faculty of Computer Science and Information Technology India Bahria University Department of Computer Science Lahore Campus Pakistan National College of Business Administration and Economics Department of Computer Science Lahore Pakistan National College of Business Administration & Economics Department of Computer Science DHA Campus Lahore Pakistan Punjab Board of Technical Education Lahore Pakistan

ISBN: (纸本)9781665475174

Cloud computing security refers to data protection, while data integrity refers to the reliability of the data. Integrity and security of data are not the same things. Therefore, both of them are very important in the field of cloud computing. A primary concern of users related to Cloud computing is data security and integrity. The purpose of this paper is to discuss the threats and solutions associated with the problems of data security and data integrity that cloud computing users must deal with. Data protection is concerned with data security, whereas data reliability is concerned with data integrity. A data security strategy focuses on reducing the risk of leaks of trade secrets, emails, medical data, and business *** privacy, security, and integrity are essential in information technology. In contrast, data integrity ensures that digital data is not corrupted and that only authorized individuals can access or edit the data (i.e., data consistency, accuracy, and reliability). Several platforms use more accessible language to make their terms more transparent, and users can trust them. Cloud computing is based on distributing computer resources across several users. Several policies are designed to ensure regulatory compliance while protecting the information, applications, and infrastructure associated with Cloud computing. The paper provides an overview of Cloud computing, its concepts, its significance in various applications, and solutions to issues and methods for ensuring its integrity and security. This research also discusses multiple challenges associated with cloud computing. To provide high-quality cloud data security, cloud security solutions, comprehensive security policies, and a security-conscious organizational culture are essential. © 2023 IEEE.

关键词： Data privacy

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Investigating Fault-Tolerance Techniques for Protecting Cyber-Physical Systems 2

Investigating Fault-Tolerance Techniques for Protecting Cybe...

引用

2nd international conference on Advances in Computation, Communication and information technology, ICAICCIT 2024

作者： Jaggi, Arjun Takkalapally, Prashamsh Rajaram, Shravan Kumar Hudani, Karim Jiwani, Nasmin Natarajan, Yuvaraj HCLTech San DiegoCA United States Department of Engineering Computing and Mathematical Sciences Lewis University United States Microsoft Inc. CharlotteNC United States Tampa FL United States Dept. of Information Technology University of The Cumberlands WilliamsburgKY United States Department of Computer Science Engineering Sri Shakthi Institute of Engineering and Technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798331541217

Cyber-physical systems (CPSs) gift a unique set of protection demanding situations because they rely on a huge and various set of digital additives. To protect CPSs from cyber-attacks, fault-tolerance techniques, inclusive of redundancy and diversity, can help to mitigate the chance of assault. The purpose of this study is to analyze the capability advantages of several fault-tolerance techniques and provide a comprehensive assessment of their effectiveness in securing CPSs. It is going to examine the impacts of different techniques on system safety, security, availability, and reliability. Furthermore, the paper will present a standard dialogue of the ability trade-offs and costs associated with distinctive fault-tolerance techniques and provide tips for deciding on the maximum appropriate method to satisfy the required level of security. This research will offer treasured perception into the relevant subjects, facilitating the development of at ease CPSs. © 2024 IEEE.

关键词： Cyber attacks

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Design and Development of Real-Time Image Based Fire Detection Using OpenCV and HSV

Design and Development of Real-Time Image Based Fire Detecti...

引用

2024 international conference on Advances in computing Research on Science Engineering and technology, ACROSET 2024

作者： Bothraa, Raajjhesh Ahire, Darsh Bhadange, Rutuja Temkar, Rutvij Mane, Mayuri Jamdhade, Shweta University of Mumbai Departement of Information Technology Mumbai India

ISBN: (纸本)9798350388800

Nowadays fire detection and recognition are one of the major securities and security region for saving human life. Concern to this we are going to propose a new model for early detection and recognition of the fire for the purpose to provide the better services. In this proposed model we are going to use The OpenCV and HSV driven Fire Detection initiative is aimed at recognizing fires by utilizing image processing technology to give early alerts to people. This proposed system is launched to overcome limitations like enhance efficiency and instant alert to avoid disastrous situation through. The existing automated fire alarm systems like the sensor method have limitations in detecting smoke-caused fires in restricted areas and late alerts. By employing a central processing unit and connecting a webcam as hardware, video footage from the surroundings is captured in the form of image as an input source. The components of theory emphasize computer vision, deep learning, image processing, color models, and the algorithm operation for detecting fires. This endeavor is designed to offer a comprehensive understanding of object detection using computers and the flexibility of these technologies in various applications. The utilization of OpenCV serves the purpose of computer vision in this system. The complete code is written in Python language utilizing the open CV library. © 2024 IEEE.

关键词： Deep learning

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Enhancing Underwater Mine Detection Accuracy through Sonar Signal Analysis 15

Enhancing Underwater Mine Detection Accuracy through Sonar S...

引用

15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Deshpande, Deepali Vayadande, Kuldeep Thopate, Kaushalya Kulkarni, Isha Deshpande, Neha Jadhav, Pranav Kulkarni, Sai Sagarkar, Sayali Department of Information Technology Vishwakarma Institute of Technology Maharashtra Pune India

ISBN: (纸本)9798331300579

Naval defense systems employ underwater mines as a critical measure to bolster maritime security. While these mines play a pivotal role in safeguarding vital waters, their deployment introduces a dual challenge: ensuring security while minimizing potential risks to submarines. Maritime operations face a critical concern in underwater security, necessitating advancements in sonar technology for the accurate detection and classification of underwater objects. This paper conducts a thorough investigation into predicting sonar echoes, specifically emphasizing the differentiation between rocks and mines. This research is important because it could improve mine detecting systems' effectiveness, thereby contributing to overall maritime safety and security. Effective underwater security hinges on advanced sonar technology for the accurate detection and classification of submerged objects. This paper presents a comprehensive study on sonar echo prediction, with a specific focus on distinguishing between rocks and mines. Leveraging the power of Random Forest and Logistic Regression are the machine learning algorithms that our methodology uses to analyze sonar data. This approach contributes to the enhancement of mine detection systems, thereby bolstering maritime security. © Grenze Scientific Society, 2024.

关键词： Sonar

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Simulation of Blockchain information Protection Prediction Model Based on Machine Learning 2

Simulation of Blockchain Information Protection Prediction M...

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2nd international conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2023

作者： Yang, Chengchen Yuan, Pengfei Feng, Zicheng Chengdu University of Technology Chengdu610000 China

ISBN: (纸本)9798350324358

With the rapid development of blockchain, blockchain-based outsourcing computing has been widely used. Outsourcing computing allows users with limited resources to outsource complex computing to those with powerful resources by paying for it, so that they can easily obtain the computing results. However, users' privacy data may be leaked in the process of outsourcing computing, so the privacy, security and verifiability of computing results of users should be considered in the process of outsourcing computing. Blockchain is a technology for building distributed databases, which has the characteristics of decentralization. The data added to the blockchain is collectively maintained by the system participants, and is permanently recorded, so it can't be tampered with. The intelligent bidding scheme based on blockchain privacy protection proposed in this paper gives full play to the decentralized, tamper proof and other characteristics of the blockchain. At the same time, homomorphic encryption technology is used to ensure data privacy, and data statistics and analysis function is realized. In the bidding prediction stage, this paper introduces a fuzzy neural network model to simulate the human brain thinking mode, thus increasing the system's "thinking"ability. © 2023 IEEE.

关键词： Blockchain

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