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共 5348 条记录，以下是91-100 订阅

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Autonomous Cyber Defense using Graph Attention Network Enhanced Reinforcement Learning 30

Autonomous Cyber Defense using Graph Attention Network Enhan...

引用

30th IEEE international conference on Parallel and distributed systems, ICPADS 2024

作者： Shi, Yihang Zhang, Huajun Shi, Lin Xu, Shoukun Changzhou University School of Computer Science and Artificial Intelligence Changzhou China

ISBN: (纸本)9798331515966

Ubiquitous networked hosts and Internet of Things (IoT) devices have enabled critical network applications in both enterprise and industrial environments. However, network threats have proliferated, constantly challenging normal network operations and data security of IoT devices. In facing these challenges, defenders have increasingly adopted Deep Reinforcement Learning (DRL) approaches, aiming to leverage their self-learning and adaptability to bolster network security. Despite these efforts, existing approaches often exhibit significant performance bottlenecks when navigating the complexities of network scenarios. This paper introduces a novel algorithm, the Normalized Graph-Attention Proximal Policy Optimization (NGA-PPO), which synergistically integrates Graph Attention networks (GAT) with the existing Proximal Policy Optimization (PPO) framework. By harnessing a weighted mechanism to amalgamate intricate network connectivity data, NGA-PPO empowers intelligent defense agents to dynamically decipher dependencies and interactions within complex network architectures, thereby facilitating precise and prompt defense actions. Comprehensive experiments within the Yawning Titan network security simulation platform reveal that NGA-PPO outperforms other methods, delivering substantial improvements in performance and exhibiting distinct advantages in robustness and generalization capabilities. Specifically, as network scenarios become more complex, existing algorithms face significant performance limitations, whereas NGA-PPO consistently demonstrates high performance, thereby affirming its efficacy and viability in mitigating complex network threats. © 2024 IEEE.

关键词： Reinforcement learning

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Design and security Analysis of a distributed OS with Adaptive IP Management

Design and Security Analysis of a Distributed OS with Adapti...

引用

2024 international conference on Artificial Intelligence and Quantum Computation-Based Sensor Applications, ICAIQSA 2024

作者： Prajapat, Pramod Chadha, Raman Sharma, Aryan Awasthi, Kartikay Chandigarh University Computer Science and Engineering Punjab India

ISBN: (纸本)9798331517953

As we can see, in the era of high-speed internet and the increasing use of technologies, the proper and safe management of IP Addresses is of paramount importance. De- centralized networks' older methods of distributing IP addresses can reveal weaknesses and produce inefficiencies. In the following paper, a new approach towards dynamic IP management which is developed to overcome these difficulties is presented. Our APK Dynamic IP Manager is equipped with a dedicated tier that controls a range of IP addresses and distributes them to nodes focusing on traffic rates as well as security precautions. This makes it more secure and ensure the network is well managed despite the increase in the size of the network. The experimental analysis and theoretical assessment of the model has been performed and the results show that the proposed model presents significant improvement over existing systems. It offers more protection against computer criminal activities and also enhances resource utilizationa. This work offers a potential implementation to Network Management and its applicability spans from complex enterprise networks to cloud computing as well as IoT devices. © 2024 IEEE.

关键词： Efficiency

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Data security in Communication using Blockchain and Key Based Protocols 2

Data Security in Communication using Blockchain and Key Base...

引用

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

作者： Prabakaran, S. Harinivaash, K. Prasad, R. Kaviyan, J. Rabin, D. V.S.B. Engineering College Department of Computer Science and Engineering Karur India

ISBN: (纸本)9798350368109

The development of global communication networks depends on satellite communication. Due to its lower stability and reach, satellite communication networks have garnered a lot of attention recently as a means of reducing the limitations of terrestrial networks. Numerous inconveniences exist, including inadequate storage space, security, and data processing capacity. Illegal entry turned out to be the difficult one. Satellite physical limitations in terms of available power and area result in limited data processing capability, storage and security limitations, and the data may be exposed to alteration or contamination by intruders. Since satellite communication has become more crucial in the development of global communication networks, there have been worries regarding its security. This project proposes to use the QKD protocol, which relies on identification and privacy protection, along with blockchain technology to create A network of satellite communication. To accomplish this, an architecture that consists of conventional and constrained devices connected to the blockchain via a wireless heterogeneous network has been developed. The communication is conducted by registration, authentication, and revocation. After receiving the data from the satellite, the terrestrial base station will log all important parameters on the distributed blockchain and remove any certificates belonging to rogue nodes. The proposed Chain and QKD system, which is based on satellites, offers a high degree of security for rapidly growing applications such as self-driving cars, future 6G and larger networks, and the Internet of Things. © 2024 IEEE.

关键词： Satellite communication systems

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A Global Task Scheduling Method Based on Network Measurement and Prediction in Computing Power networks 29

A Global Task Scheduling Method Based on Network Measurement...

引用

29th IEEE international conference on Parallel and distributed systems, ICPADS 2023

作者： Zhang, Chuanfu Li, Wen Chen, Jing Ge, Jing Wang, Di Li, Na Sun, Hao Geng, Yudong Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350330717

To improve the task scheduling efficiency in computing power networks, this paper proposes a global task scheduling method based on network measurement and prediction in computing power networks (GTS-MP), which selects a more suitable computing power cluster and storage platform with a higher network availability score between them to implement tasks. The experiments are conducted on a test bench of urban area networks in 12 cities. The results show that this method greatly reduces the execution time of artificial intelligence model training tasks, with a maximum reduction of 40% compared to other plans. © 2023 IEEE.

关键词： computing power network global scheduling network availability score task offloading

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Back Propagation Neural Network-Based Routing Optimization for IoT 2

Back Propagation Neural Network-Based Routing Optimization f...

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2nd IEEE international conference on Blockchain and distributed systems security, ICBDS 2023

作者： Maurya, Sant Kumar Srivastava, Animesh Saini, Parveen Kumar Gupta, Rajeev Dhondiyal, Shiv Ashish Chandigarh University Department of AIT-CSE Punjab Mohali India Graphic Era Hill University Department of Computer Science & Engineering Dehradun India Chandigarh University Department of CSE Punjab Mohali India Graphic Era Hill University Department of Electronics and Communications Engineering Dehradun India Department of Computer Science & Engineering Dehradun India

ISBN: (纸本)9798350333763

The Internet of Things (IoT) has fundamentally changed how we engage with the environment that surrounds us by facilitating the connection of various devices and the flow of data between them. However, as the complexity of IoT networks increases, effective routing becomes more and more important to guarantee that data transfer and network performance are at their best. It is possible that traditional routing algorithms would not be able to manage the size and fluidity of Internet of Things networks. Optimizing the routing of Internet of Things devices has necessitated the use of more cutting-edge methods, such as the Back Propagation Neural Network (BPNN), which has been developed by researchers. In this research paper, we provide a unique strategy to handle the routing optimization issue in IoT by employing BPNNs. Back Propagation Neural networks is a kind of neural network. By using the tremendous capabilities of artificial neural networks, the BPNN-based routing optimization intends to improve the efficacy of IoT networks as well as their adaptability. © 2023 IEEE.

关键词： Internet of things

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Proof-of-Variable-Authority: A Blockchain Consensus Mechanism for Securing IoT networks 19th

Proof-of-Variable-Authority: A Blockchain Consensus Mechanis...

引用

19th international conference on Information systems security (ICISS)

作者： Chacko, Lenoah Rajan, Pavithra Anilkumar, Varun Pathari, Vinod Natl Inst Technol Kozhikode 673601 India

ISBN: (纸本)9783031490989;9783031490996

In today's world, Internet of Things (IoT) has become an integral part of our daily lives. As IoT networks continue to gain importance, the need for efficient network management mechanisms becomes crucial. Currently, the prevalent approach involves utilizing a centralized server as the core management device, along with interfaces provided by major corporations. In this paper, we explore blockchain technology for IoT network management, aiming to empower individuals to retain control over their data and eliminate the risks associated with a single point of failure. However, implementing a consensus mechanism for IoT devices in distributed systems is challenging due to the high computational demands of existing options. This poses a significant challenge in securing IoT networks, especially when most devices are low-powered. To overcome this challenge, we propose modification to the Proof-of-Authority (PoA) consensus mechanism by introducing a decentralized approach to the original solution.

关键词： Blockchain Internet of Things Consensus Mechanism

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Open Architecture for distributed and Cooperative Media Algorithms 3

Open Architecture for Distributed and Cooperative Media Algo...

引用

3rd international conference for Innovation in Technology, INOCON 2024

作者： Bhambu, Pawan Manjunatha, R. Srivastava, Pratima Vivekananda Global University Department of Computer Science and Engineering Jaipur India School of Sciences Department of Data Analytics and Mathematical Sciences Karnataka Bangalore India Arka Jain University Department of Biotechnology Jharkhand Jamshedpur India

ISBN: (纸本)9798350381931

The Open structure for allotted and Cooperative Media Algorithms (OADCMA) is an open-deliver framework imparting a plug-in platform that lets customers, without problem, develop distributed and cooperative media algorithms to utilize the computational assets of diverse heterogeneous structures. It's miles designed for operations along with video capture, transmission, and machine operations. OADCMA affords unified APIs for allotted and cooperative media algorithms, which simplifies the implementation of distributed and cooperative media algorithms. Additionally, OADCMA permits green parallel computing while averting scalability problems. OADCMA helps a widespread fashion of verbal exchange networks, including allotted finite discipline computing. It is appropriate for an extensive kind of allotted and cooperative media programs together with video surveillance and broadcasting. © 2024 IEEE.

关键词： security systems

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Blockchain - Enhanced Secure and Efficient IPFS - based EHR Management: A Decentralized Approach 4

Blockchain - Enhanced Secure and Efficient IPFS - based EHR ...

引用

4th international conference on Emerging Trends in networks and computer Communications, ETNCC 2024

作者： Santhi, V. Santhosh, Diyaa Samyuktha, N. Sachitha, C. PSG College of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350353266

This paper introduces a novel healthcare system based on blockchain and IPFS technologies, designed to securely store and facilitate the sharing of patient health records. The system is structured into three layers: blockchain,IPFS, and the application. Within the blockchain layer, the primary function is to store and safeguard patient health records. This is achieved through the utilization of distributed ledger technology, ensuring the records' immutability and resistance to tampering. Meanwhile, the IPFS layer offers the infrastructure necessary for secure storage and retrieval of patient health records. Lastly, the application layer provides the user interface for accessing and managing patient health records, including functions like addition, updates, and deletions. This innovative system boasts numerous advantages compared to traditional healthcare systems. It offers enhanced security, as patient health records are stored in an encrypted format across a distributed network. Furthermore, it provides a more efficient means of securely sharing patient health records among healthcare providers. The system also improves transparency by recording all network accesses as transactions. While this system is still in its early developmental stages, its potential to transform the storage and sharing of healthcare records is promising. © 2024 IEEE.

关键词： Electronic health record

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Designing Blockchain-Based Decentralized Scheme for Secure File Storage System

Designing Blockchain-Based Decentralized Scheme for Secure F...

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12th IEEE international conference on computer, Information and Telecommunication systems (CITS)

作者： Jariwala, Manav Pankaj Obaidat, Mohammad S. Wazid, Mohammad Mishra, Amit Kumar Singh, Devesh Pratap Graph Era Deemed Be Univ Dept Comp Sci & Engn Dehra Dun 248002 India Univ Jordan KASIT Amman 11942 Jordan Univ Sci & Technol Beijing Beijing 100083 Peoples R China SRM Univ Kattankulathur 603203 India Amity Univ Noida 201301 India Graph Era Hill Univ Dept Comp Sci & Engn Dehra Dun 248002 India

ISBN: (纸本)9798350359107;9798350359091

A decentralized file storage system is a system for storing the data. The files are stored across a distributed network of nodes. It does not rely on a centralized server. Each node in the network maintains a copy of the data. In this system, files are broken into smaller pieces and then distributed over multiple nodes. It improves redundancy and makes the system resilient. It leverages over peer-to-peer (P2P) networking protocols. It also utilizes blockchain technology to provide secure and efficient file storage. A decentralized file storage system has various applications, i.e., content distribution, file sharing and collaboration, decentralized applications (dApps), content delivery networks (CDNs), personal data ownership and data backup and recovery. Though it is used in various applications, at the same time, it also has several issues, including data secrecy and data integrity. Therefore, in this paper, we propose a blockchain-based decentralized scheme for a secure file storage system. The proposed scheme offers a robust solution for addressing the security issues that are associated with centralized file storage systems. It is accomplished by utilizing the Ethereum blockchain, solidity smart contracts, Metamask, ***, CSS, and ***. The evaluation of the implemented system has shown that it is effective in ensuring safe and decentralized file storage.

关键词： blockchain cyber security interplanetary file system (IPFS) data integrity simulation

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The Application of Deep Learning Techniques in computer security for Big Data Anomaly Detection 2

The Application of Deep Learning Techniques in Computer Secu...

引用

2nd IEEE international conference on Integrated Intelligence and Communication systems, ICIICS 2024

作者： Duan, Zhijuan Wuhan University of Engineering Science Hubei Wuhan China

ISBN: (纸本)9798331504960

Today, with the rapid development of the Internet, the requirements for network security are increasing day by day. This article explores the application of deep learning technology, especially convolutional neural networks (CNN), in anomaly detection in big data environments. The study designed a CNN-based anomaly detection framework to simulate the way the human brain processes visual information, achieving automatic extraction of complex features in data and recognition of abnormal patterns. Research methods include building multi-layer CNN models, data preprocessing, feature extraction and anomaly scoring, as well as comparative analysis of experimental designs. Experimental results show that CNN performs well in different network attack scenarios, with an average recall rate of 94.9%, a precision rate of 92.6%, and an average accuracy rate of 93.75%, which is significantly better than the local anomaly factor (LOF) and principal component analysis (PCA).) and kernel density estimation (KDE) and other traditional methods. Additionally, CNN has lower response times when detecting advanced persistent threats, ransomware attacks, and distributed denial-of-service attacks. As an emerging abnormal behavior identification method, CNN can quickly and accurately find targets for users, which is of great significance to information security in today's Internet environment. © 2024 IEEE.

关键词： Convolutional neural networks

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