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检索条件"任意字段=3rd International Conference on Network and System Security"

共 25400 条记录，以下是1-10 订阅

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3rd international conference on network security and Blockchain Technology, ICNSBT 2024

3rd International Conference on Network Security and Blockch...

引用

3rd international conference on network security and Blockchain Technology, ICNSBT 2024

ISBN: (纸本)9789819780501

The proceedings contain 32 papers. The special focus in this conference is on network security and Blockchain Technology. The topics include: Exploring the Limits of Classical Random Number Generation and Unveiling Quantum Alternatives;LWT-Based Watermarking Scheme for Image Authentication;Robust Image Steganography Using DCT, GrabCut, and Quantization;spread-Spectrum Based a New Secured Robust Image Watermarking Scheme;Zero Trust network Access (ZTNA) Architecture: A Novel Perspective to Cloud security;Enhancing Healthcare IoT security: A CCN-Based Approach for FIB Establishment and Content Delivery;cryptanalysis and Countermeasures on Multivariate Cubic Polynomial-Based Digital Signature;Evaluation of Objective Functions of RPL in the Contiki Simulator on Various Radio Models;lattice-Based Authentication Scheme for Smart Agriculture system;lightweight Symmetric Key Exchange Protocols for Enhanced security in Elastic Optical Fiber Communication;Nonlinearity in AES Subkey Scheduling—An Augmented security;Privacy-Preserved Covid and Inter-BAN Communication Status Maintenance with Key and Random Value Update in Blockchain;Secure Sharing of CCTV Feed;some Notes on Deniability, Obfuscation, and Multiparty Computation;blockchain-Based Secured Ration Distribution system;autoBloc: Blockchain-Based Automotive Supply Chain Management;BHealth: A Blockchain-Based Platform for Healthcare Data;design of a Mechanism for the Analysis of Cybersecurity Breaches and Their Ripple Effect on Global Financial Market;Secure Management of Patient Test Data Using Blockchain and IPFS;intrusion Detection system Using Stacked Ensemble Learning with Light Gradient Boosting Machine and Decision Tree;A Post-benchmarking Framework Towards Evaluating and Ranking Deep Learning Models for Breast Cancer Detection Using Hybrid MCDM;case-Based Spam Filtering for Encrypted Emails;designing and Deploying Blockchain with Truffle and Smart Contracts;ESMDP: Encrypted ML Framework for Secure Medical Data Proc

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Intrusion Detection system for IoT security 3rd

Intrusion Detection System for IoT Security

引用

3rd international conference on network security and Blockchain Technology

作者： Das, Sudeshna Majumder, Abhishek Tripura Univ Comp Sci & Engn Dept Agartala India

ISBN: (纸本)9789819780501;9789819780518

Our everyday lives are getting increasingly connected with the Internet of Things, which presents serious worries about potential cybersecurity threats and the need for trustworthy solutions. Deep learning-based intrusion detection can increase the efficacy of the system. However, it is especially difficult to use these models in the Internet of Things. In this work, a lightweight intrusion detection model, using Feedforward Neural network, has been developed. Model compression techniques, such as weight and neuron pruning, are applied to feedforward neural network. Performance evaluations of the baseline intrusion detection model and the proposed model have been conducted. Based on experimental results, the proposed model outperforms the baseline in terms of training time by an average of 93% while exhibiting very little degradation in performance.

关键词： Intrusion detection system Feedforward neural network Weight pruning Neuron pruning

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Research on quantum security in public network push-to-talk over cellular systems 24

Research on quantum security in public network push-to-talk ...

引用

3rd international conference on Signal Processing, Computer networks and Communications, SPCNC 2024

作者： Guo, Chen Su, Mohan China Mobile Group Device Co. Ltd. Beijing China

ISBN: (纸本)9798400710834

Push-to-talk over cellular (PoC) is a multicast half-duplex type of communication. However, modern cryptography faces potential threats posed by quantum computers. The objective of this study is to construct a secure communication platform for key exchange through quantum cryptography scheme. The Secure Sockets Layer Virtual Private network (SSL VPN) is employed in quantum key distribution (QKD) to guarantee the secure communication across quantum channels. The obtained results may guide companies and organizations to achieve a best compromise between security and efficiency in the selection of an optimal QKD system. © 2024 Copyright held by the owner/author(s).

关键词： Quantum cryptography

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DPU-Enhanced network security Situation Awareness Model for New Power systems 24

DPU-Enhanced Network Security Situation Awareness Model for ...

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3rd international conference on Algorithms, Data Mining, and Information Technology, ADMIT 2024

作者： Hao, Jiakai Li, Yuting Bai, Haoyang Dong, Xu Wang, Han Xiao, Yitao State Grid Beijing Electric Power Company Beijing China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798400718120

As the development of new power systems progresses, the edge side exhibits emerging challenges such as diversified new network services, rapid extensions of access and local networks, and a dramatic increase in the number of sensing terminals. These conditions pose extremely severe challenges to security protection. Traditional network security situation awareness models are predominantly software-based, neglecting the intensive I/O overhead in big data network environments. Such approaches fail to keep pace with the increasing network traffic in new power systems and do not fully meet the demands for high concurrency and low latency. Additionally, conventional methods lack effective security isolation measures, rendering systems vulnerable to malicious attacks and security breaches, potentially triggering a series of stability issues within the system. In response, this paper proposes an integrated hardware-software co-design architecture for traffic extraction based on Data Processing Unit (DPU). By offloading some regex matching tasks to the hardware, this architecture significantly enhances the system’s overall processing capability and throughput. Furthermore, this study introduces a multi-source fusion-based network security situation awareness model tailored for new power system environments, markedly improving the accurate identification of attack behaviors and providing robust support for network security. © 2024 Copyright held by the owner/author(s).

关键词： HDCP

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Using Attention Layers to Accurately Detect Malicious Traffic for Internet of Things networks 3

Using Attention Layers to Accurately Detect Malicious Traffi...

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3rd international conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Raghunathan, S. Jacintha, Anitha Dsouza Swetha, C.V. Bengaluru India

ISBN: (纸本)9798331515911

The networks of the Internet of Things are subject to fraudulent traffic now that day by day, the devices deployed are on the rise. We put forward in this paper an attention-enhanced neural network architecture-based real-time harmful traffic categorization system for IoT networks. Our approach benefits the efficiency and accuracy of classifying normal versus anomalous traffic through the integration of both the attention and management layers. In testing our model on a reference dataset, our extensive testing yields excellent results-there is a very high Area Under the Curve (AUC) of 99.8% and accuracy at 99.5%. The system reduces false alarms but produces increased detection rates, thus showing good generalizing ability in most traffic patterns. Although real-time anomaly identification is the requirement for protection of a large-scale IoT ecosystem, the modest computing cost of this solution does open up promising avenues for the improvement of IoT network security. © 2025 IEEE.

关键词： anomaly detection attention layer IoT security machine learning neural networks real-time traffic categorization security

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Lattice-Based Authentication Scheme for Smart Agriculture system 3rd

Lattice-Based Authentication Scheme for Smart Agriculture Sy...

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3rd international conference on network security and Blockchain Technology

作者： Soni, Lacchita Chandra, Harish Gupta, Daya Sagar MMM Unive Technol Dept Math & Sci Comp Gorakhpur 273010 Uttar Pradesh India Indian Inst Technol Dept Math Patna 801106 Bihar India

ISBN: (纸本)9789819780501;9789819780518

The Internet of Things (IoT) has revolutionized agriculture by optimizing resource usage and enabling real-time field monitoring, but its widespread adoption brings security challenges. The protection of sensitive agricultural data requires robust authentication mechanisms, especially in the face of emerging quantum technologies that may render traditional security methods inadequate. A solution tailored for smart agriculture systems emerges as a lattice-based authentication scheme (LBSAS). With the leverage of complex mathematical problems like SIS or ISIS, LBSAS offers resilience against quantum attacks, ensuring the security of IoT-driven agricultural systems. The rigorous security analysis validates LB-SAS's effectiveness in safeguarding against quantum threats. In summary, as IoT continues to transform agriculture, implementing resilient security measures such as LB-SAS becomes paramount to mitigate risks and maintain the integrity of agricultural operations amid the increasing connectivity of the digital landscape.

关键词： Lattice-based cryptography Smart Agriculture system (SAS) Authentication security Privacy

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Research on network security Intrusion Detection Based on Devnet 24

Research on Network Security Intrusion Detection Based on De...

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3rd international conference on Signal Processing, Computer networks and Communications, SPCNC 2024

作者： Zheng, Hao Sun, Dongxu Han, Xiao Zhang, Xiaohua Zhao, Yan Co. Ltd. Hebei Shijiazhuang China Guodian Hefeng Wind Power Development Co. Ltd. Liaoning Shenyang China School of Artificial Intelligence and Data Science Hebei University of Technology Tianjin China

ISBN: (纸本)9798400710834

With the promotion of industrial 4.0 and intelligent manufacturing, the network security of industrial control system becomes particularly important. In the face of new network attacks, the traditional intrusion detection system (IDS) has been difficult to meet the protection requirements, so it is particularly urgent to research and develop efficient network security detection technology. In this study, an intrusion detection method of industrial control system based on DevNet network is proposed, which uses deep convolution neural network architecture to detect events and locate evidence by analyzing the characteristics of key frames, which significantly improves the performance of multimedia event detection. This method optimizes the anomaly score through end-to-end learning, makes effective use of the limited marked abnormal data, and enhances the accuracy and real-time performance of detection. The research first examines the challenges of network security in industrial control systems, and then describes the DevNet framework and its core algorithms, including exception score learner, normal a priori and Z-Score deviation loss function. Through the experimental evaluation of multiple data sets, DevNet performs well in key evaluation indicators such as AUC-ROC and AUC-PR, especially in dealing with large-scale network traffic and defending against zero-day attacks. The interpretability of DevNet provides strong support for security analysis and enhances the credibility of the model prediction. This research not only enhances the protection of network security, but also promotes technological innovation, and provides new ideas for the field of network security. With the increase of IIoT equipment, DevNet is expected to become the key technology to protect the safety of industrial control system. The results of this research are of great significance in theory, and show broad prospects in practical application, and contribute to the progress of network security. ©

关键词： network intrusion

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BHealth: A Blockchain-Based Platform for Healthcare Data 3rd

BHealth: A Blockchain-Based Platform for Healthcare Data

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3rd international conference on network security and Blockchain Technology

作者： Patel, Parva Maheshbhai, Patel Yash Kamble, Sumeet Rana, Bhagya Patil, Shriniwas Parmar, Keyur S V Natl Inst Technol Surat India

ISBN: (纸本)9789819780501;9789819780518

There is a well-known trilemma in the blockchain: "A block-chain system can only at most have two of the following three features: decentralization, scalability, and security." In this article, we propose a healthcare blockchain system for Electronic Health Records (EHRs) with all three features, namely decentralization, security, and scalability. We present a novel model for EHRs sharing that prioritizes all three features using InterPlanetary File system (IPFS) to store patient EHRs. The proposed system protects the privacy of content addresses and enables efficient access revocation by creating a pool on InterPlanetary Naming system (IPNS). In addition, the proposed system modifies the mapping whenever the patient revokes access of any doctor's address. The proposed system allows healthcare providers to add patients' EHRs after the patient's approval. The patient's approval ensures the authenticity and integrity of the patient's EHRs while sharing with other healthcare providers. As a result, the proposed system effectively addresses privacy concerns, enables access revocation, and ensures the authenticity and integrity of patient EHRs, thus offering a robust solution for secure and efficient EHRs sharing in the healthcare domain achieving all three features: decentralization, security, and scalability.

关键词： Blockchain Decentralization Scalability security Access revocation Health care

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Real-Time Threat Management using Deep Q-Learning and Mininet 3

Real-Time Threat Management using Deep Q-Learning and Minine...

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Sivakumar, Amrutha Bhavya Reddy, G. Bhanot, Shreya Rajagopal, Shinu M. Prashanth, B.N. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

The research combines Deep Q-Learning(DQN) with a Mininet-based network simulation and Scapy intrusions detection system (IDS) for malicious traffic prioritizing. The RL agent continuously learns to act based on real-time traffic data and builds an adaptive model that detects and prioritizes threats such as SYN Flood, UDP Flood, Slowloris, HTTP Flood etc. The RL agent then adjusts its policy via the seamless combination of network simulation and live traffic detection to make sure lossy channels representing high-severity attacks are dealt with first, lessening the damage. The system improves the identification of intrusions by stimulating the intrusion prioritization dynamically with continuous learning and feedback, increasing network security. © 2025 IEEE.

关键词： network intrusion

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Microservices-based peer-to-peer security transmission protocol tailored for DPU 24

Microservices-based peer-to-peer security transmission proto...

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3rd international conference on Algorithms, Data Mining, and Information Technology, ADMIT 2024

作者： Li, Yuting Hao, Jiakai Dong, Zheng Piao, Tiangao Bai, Haoyang Shen, Tongbo State Grid Beijing Electric Power Company Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798400718120

Due to the limitations of their hardware and software capabilities, traditional industrial devices often cannot support new security features, thus creating potential security vulnerabilities and often proving inadequate when facing new types of cyberattacks. To address this issue, we propose a Microservices-based, peer-to-peer security transmission protocol tailored for DPU. This protocol aims to achieve secure encryption of device links through field programmable gate array (FPGA) integrated circuits, ensuring the security of data during peer-to-peer transmission. Initially, FPGA integrated circuits (ICs) are deployed in front of both devices in the peer-to-peer network link, and encryption functionality for the data link is integrated onto the ICs. Then, through a microservices architecture, security algorithms are decomposed into microservices, enabling scalability and reconfiguration of security algorithms. Through these measures, efficient and flexible security measures are achieved, thereby assisting traditional industrial devices in dealing with complex and ever-changing security threats and network environments. © 2024 Copyright held by the owner/author(s).

关键词： Field programmable gate arrays (FPGA)

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