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共 5350 条记录，以下是31-40 订阅

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Implementation of Blockchain Technology to Enhance Data security for Cloud Computing 1

Implementation of Blockchain Technology to Enhance Data Secu...

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1st IEEE international conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Kumari, Poonam Singh, Meeta Manav Rachna International Institute of Research and Studies Department of Computer Science and Engineering Haryana Faridabad India

ISBN: (纸本)9798350356816

Cloud computing, the fastest-growing IT technology, offers flexibility and scalability with pay-per-use models, but it raises concerns about data security due to third-party storage and online accessibility. Effective cloud security measures are crucial for protecting user data. The Internet of Things (IoT) generates enormous amounts of data that must be efficiently processed and stored in the cloud. Blockchain technology enhances data security through its tamper-resistant distributed ledger and peer-to-peer networks, which allow any node with internet access to join or create networks. To protect sensitive data and maintain its integrity, it is crucial to implement robust encryption, privacy safeguards, access controls, identity management and confidentiality in both cloud and decentralized systems. © 2024 IEEE.

关键词： Cloud security

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Navigating IoT security Assessment: Current Methods, Challenges and Future Directions 14

Navigating IoT Security Assessment: Current Methods, Challen...

引用

14th international conference on Advanced computer Information Technologies, ACIT 2024

作者： Abdulhamid, Alhassan Kabir, Sohag Ghafir, Ibrahim Lei, Ci University of Bradford Faculty of Engineering and Digital Technologies Bradford United Kingdom

ISBN: (纸本)9798350350036

Rapid growth of Internet of Things (IoT) applications h as significantly transformed h uman interaction with technology, providing unprecedented convenience and connectivity in our daily lives. Securing a complex network of interconnected IoT devices poses significant c hallenges. T his r equires a continuous proactive security assessments of the systems, considering their interconnected nature, distributed networks, and their crucial role in our health, safety, and the environment. It is essential to comprehensively evaluate IoT systems' security features to comprehend and successfully address security risks. This arti-cle offers an in-depth exploration of quantifying IoT security, examining some of the existing assessment models, associated challenges in security quantification, a nd p otential a venues for advancement. The principal contribution of this article lies in providing an overview of the current state of IoT security quantification a nalysis, d elineating p rominent c hallenges, and proposing prospects for addressing them. © 2024 IEEE.

关键词： cybersecurity quantification dependability Internet of Things security assessment

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The Virtual computer networks Lab: On the Design and Implementation of a Location Independent networks Laboratory in Higher Education 17

The Virtual Computer Networks Lab: On the Design and Impleme...

引用

17th international conference on computer Supported Education, CSEDU 2025

作者： Baun, Christian Kappes, Martin Cocos, Henry-Norbert Koch, Malte Petrozziello, Maurizio Department of Computer Science and Engineerung Frankfurt University of Applied Sciences Nibelungeplatz 1 Frankfurt am MainD-60318 Germany

ISBN: (纸本)9789897587467

This paper describes a novel virtual platform for university teaching, which in particular allows the creation and use of complex IT infrastructures even for non-experts. Until now, complex network infrastructures in teaching have usually not been realizable virtually or physically with reasonable effort. However, they are essential to fundamental courses such as computer networks, distributed systems, or IT security. The platform described in this work enables a flexible and practical offer for lecturers, scientists, and students simultaneously by making complex IT infrastructures virtually available quickly and easily. It thus offers new possibilities for designing and utilizing virtual resources and is based exclusively on free software components. The project uses the hypervisor technology Proxmox Virtual Environment, which, together with the distributed storage solution CEPH as an object storage service, offers a virtualization platform for providing virtual resources. The successful use in computer science courses is demonstrated and evaluated. It is shown that the effort for setting up practical laboratories is signifficantly reduced by the virtual learning platform in contrast to the physical lab. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Virtualization

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Comparative Analysis of 5G security Mechanisms 6

Comparative Analysis of 5G Security Mechanisms

引用

6th international conference on Information systems and computer networks, ISCON 2023

作者： Sachdeva, Tanya Kumar, Siddhant Diwakar, Manoj Singh, Prabhishek Pandey, Neeraj Kumar Choudhary, Savita Graphic Era Deemed to Be University Dehradun India Bennett University School of Computer Science Engineering and Technology Greater Noida India Dit University School of Computing Dehradun India Sir M. Visvesvaraya Institute of Technology Bengaluru India

ISBN: (纸本)9798350346961

As networks continue to expand, they become increasingly heterogeneous, accommodating a diverse range of devices, from sensors and IoT to clients and servers. This ecosystem is highly distributed, with network facilities supporting many broadband devices, as well as device mobility and dynamic variations in networks, which makes them vulnerable to security attacks. In light of this, this paper reviews previous research on securing 5G networks and identifies the most effective methods. By analyzing various approaches, we determine which method is the most appropriate and provides the highest accuracy for securing our 5G networks. This review paper provides a valuable resource for those seeking to optimize the security of their 5G networks in the face of evolving security threats.. © 2023 IEEE.

关键词： 5G mobile communication systems

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Generating Synthetic Tabular Data for DDoS Detection Using Generative Models 22

Generating Synthetic Tabular Data for DDoS Detection Using G...

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IEEE 22nd international conference on Trust, security and Privacy in Computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Saka, Samed Al-Ataby, Ali Selis, Valerio Univ Liverpool Dept Elect Engn & Elect Liverpool Merseyside England

ISBN: (纸本)9798350381993;9798350382006

distributed denial-of-service (DDoS) attacks are a type of cyber attack that overwhelms a target server, service or network with a flood of malicious traffic, making it unavailable to legitimate users. These attacks have become a major threat to the security of computer networks and systems, and effective intrusion detection systems (IDSs) are essential for detecting and mitigating these attacks. IDSs are used to monitor network traffic for malicious activity and can help detect and prevent DDoS attacks. Most IDSs are often designed to identify diverse types of attacks, but their efficacy can be limited when faced with attacks that exhibit extensive variations and sophisticated techniques, such as DDoS. In order to establish an effective IDS capable of identifying DDoS attacks, the acquisition of substantial volumes of labelled network data becomes crucial. This study aims to evaluate the performance of recent generative models in synthesising realistic tabular data to accurately emulate DDoS attack patterns. To achieve this, we used the CIC-DDOS2019 dataset, a comprehensive and modern collection of real-world DDoS attack scenarios. Leveraging state-of-the-art generative models, namely CTGAN, TVAE, and CopulaGAN, we synthesised realistic tabular data that emulated the characteristics and patterns observed in DDoS attack flow. We utilised various statistical metrics such as correlation scores, similarity and distance metrics, along with machine learning performance metrics, to quantitatively measure the performance of the generative models. The findings indicate that all three models have the ability to accurately emulate the patterns found in the real database, resulting in the generation of useful synthetic data. Specifically, among the classification methods used, the Random Forest method showed the most successful performance in detecting attacks with an accuracy of 99% when applied to the original dataset. In comparison, it achieved accuracy levels of 98%, 99%,

关键词： Generative networks Tabular Data Generation CIC-DDoS2019 Dataset Intrusion Detection systems

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Comprehensive Strategies for Optimizing Health Policy Outcomes: Integrating Data Workforce Capacities, and Mental Health Support

Comprehensive Strategies for Optimizing Health Policy Outcom...

引用

2024 international conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Aruna, S. Basavaraj, G.N. Usha, B.A. Mohan, B.A. Vani, B.A. Bms Institute of Technology and Management Department of Cyber Security Bengaluru India Bms Institute of Technology and Management Department of Information Science and Engineering Bengaluru India Sri Krishna Institute of Technology Department of Information Science and Engineering Bengaluru India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375442

The study assesses health policy and health systems. performance with emphasis on the health workforce and use of Big Data Analytics (BDA) for strengthening health systems. Some Issues for which it raises concern are mental health care and the absence of healthcare policies in low and middle-income countries for Neglected Tropical Diseases (NTDs). The research covers analysis of health policy, processes, and procedures in healthcare system, access to health care services, deficits in infrastructures and scarcity of resources. This calls for the development of a long-term framework, meaningful engagement of the stakeholders, and patients' involvement, especially in the development of policies. In terms of the rationale for this study, one can note the following: objectives: Providing more efficient solutions to integrate data, solve problems of privacy and address issues connected with the cooperation of stakeholders to enhance the health systems' adaptability to uncertainty. © 2024 IEEE.

关键词： Electronic health record

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distributed 5G distribution network differential protection scheme based on 'State Grid Core' lightweight encryption 8

Distributed 5G distribution network differential protection ...

引用

8th international conference on Electrical, Mechanical and computer Engineering, ICEMCE 2024

作者： Wang, Jinshuai Chen, Mengqi Guo, Guangming Wang, Rining State Grid Information and Communication Industry Group Co Ltd. Beijing China

ISBN: (纸本)9798331506230

In order to enhance the safe and stable operation capability of distribution networks with a large number of distributed power sources connected, research on differential protection for distribution networks is constantly deepening. The application of 5 G wireless communication technology in differential protection scenarios of distribution networks is gradually becoming widespread due to its advantages such as low latency and large bandwidth. However, compared with traditional fiber optic solutions, the security issues of 5 G wireless networks are also becoming increasingly prominent. In response to this, this article studies a lightweight encryption scheme based on the 'State Grid Core'. By installing a secure TF card in the external 5G CPE of the protection device and using the State Grid encryption algorithm, the security of terminal access and business data transmission is improved. At the same time, due to the sensitivity of distribution network differential protection services to latency, adopting lightweight encryption schemes can also minimize the latency loss caused by data encryption and decryption. © 2024 IEEE.

关键词： 5G mobile communication systems

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Secure Remote Access to Local Network with distributed Tunnel Management

Secure Remote Access to Local Network with Distributed Tunne...

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2024 international conference on Advances in Data Engineering and Intelligent Computing systems, ADICS 2024

作者： Priyan Kishore, M.S. Chandana Sathwika, U. Malarvel, Muthukumaran Hindustan Institute Of Technology And Science Department Of Computer Science And Engineering Chennai India

ISBN: (纸本)9798350364828

The proliferation of distributed networks and the increasing demand for remote collaboration and maintenance have highlighted the need for secure and controlled remote access solutions. This paper presents a novel approach to establishing remote network access through a distributed tunneling management system. The proposed methodology addresses the challenges of providing authenticated and controlled access to private networks while facilitating seamless remote collaboration and maintenance tasks. The system architecture comprises a public tunneling server responsible for hosting the tunneling service and a separate management server dedicated to handling client connections, tunnel creation, and termination. Client networks run background processes that communicate with the communication server through websocket connections, enabling tunnel establishment and termination based on authorized requests. The methodology incorporates authentication mechanisms and secure protocols to ensure the confidentiality and integrity of communication channels. The distributed nature of the architecture enhances scalability, allowing multiple client networks to leverage the tunneling service concurrently. Experimental results demonstrate the viability of the implemented protocols, showcasing efficient computation, storage, communication and practical solutions for remote access to local networks, with potential applications across various industries, including IT support, remote collaboration, and maintenance operations while ensuring the confidentiality and integrity of sensitive data. © 2024 IEEE.

关键词： Network security

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Deep Learning for Enhanced Spectrum Sensing in Cognitive Radio networks with Blockchain-based security 3

Deep Learning for Enhanced Spectrum Sensing in Cognitive Rad...

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3rd IEEE international conference on Blockchain and distributed systems security, ICBDS 2024

作者： Solanki, Surendra Brahma, Banalaxmi Manipal University Jaipur Department of Artificial Intelligence & Machine Learning Rajasthan Jaipur India Dr. B. R Ambedkar National Institute of Technology Department of Computer Science and Engineering Punjab Jalandhar India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354348

The growing need for wireless communication requires the optimum use of spectrum. Cognitive Radio (CR) technology enables the utilization of unused frequency channels through the identification and exploitation of these bands. Nevertheless, conventional spectrum sensing approaches are plagued by drawbacks such as instances of missed detections and false alarms. This study presents a new framework that combines deep learning and blockchain technology to improve the accuracy of spectrum sensing and ensure safe spectrum management in cognitive radio networks. Deep learning models are highly proficient at acquiring intricate signal characteristics, which allows them to attain exceptional performance in spectrum sensing. Blockchain technology, characterized by its decentralized recordkeeping system, inability to be altered, and methods for reaching agreement, promotes confidence and thwarts tampering with spectrum sensing data and user access privileges. Our platform utilizes deep learning models on CR devices to achieve precise spectrum sensing. Additionally, it leverages the secure data storage and access control features of blockchain. This integration improves the accuracy of spectrum sensing, guarantees secure and transparent management of the spectrum, and encourages efficient utilization of the spectrum in cognitive radio networks. The evaluation technique and anticipated results are well defined, setting the stage for future investigations in this field. © 2024 IEEE.

关键词： Radio systems

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6G-SECUREIDS: Blockchain-Enhanced Secure Knowledge Transfer for distributed Intrusion Detection systems in Advanced networks 6

6G-SECUREIDS: Blockchain-Enhanced Secure Knowledge Transfer ...

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6th international conference on Networking and Advanced systems, ICNAS 2023

作者： Sakraoui, Sabrina Derdour, Makhlouf Ahmim, Ahmed Badji Mokhtar Annaba University Networks and Systems Laboratory Department of Computer Science Annaba Algeria Oum El Bouaghi University Networks and Systems Laboratory Department of Computer Science Oum El Bouaghi Algeria Mohamed-Cherif Messaadia University Networks and Systems Laboratory Dpt. of Mathematics and Computer Science Souk Ahras Algeria

ISBN: (纸本)9798350319170

As the development of wireless networks advances towards the deployment of 6G technology, ensuring robust security measures becomes crucial. In this paper, we propose 6G-SECUREIDS, a novel intrusion detection system designed specifically for 6G wireless networks. The system leverages machine learning techniques and blockchain technology to detect and mitigate security threats, safeguard data privacy, and ensure efficient and optimized training. Our experimental results demonstrate the effectiveness and reliability of the system, with the clients achieving high accuracy scores across different model architectures. The promising results highlight the potential of 6G-SECUREIDS as a valuable security solution for future 6G networks, contributing to the overall protection and integrity of the wireless communication ecosystem. © 2023 IEEE.

关键词： Wireless networks

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