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检索条件"任意字段=14th International Conference on Distributed Computing Systems"

共 4693 条记录，以下是71-80 订阅

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A Domain-Aware Data Fusion Scheme for Cold Start Problem in Early-Stage IoT systems

A Domain-Aware Data Fusion Scheme for Cold Start Problem in ...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Manish Kumar Maurya Aswin Raut Manoj Kumar Satakshi Manish Kumar IT Department IIIT Allahabad Prayagraj India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

In recent years, edge computing has become increasingly popular, and edge intelligence is one of the key components of this paradigm. However, in the early phases of deployment, edge-based models frequently face an issue called the “cold start problem” caused by insufficient data. To address this problem, this work presents a data fusion model based on the ideas of domain adaptation. the model first evaluates the degree of similarity between the learning methodology’s source and target domains. then, it appropriately combines data from both sources to train the model efficiently and reduce the possibility of overfitting. A lot of testing has been done to evaluate the effectiveness of this suggested learning model using the Ganga River and Sangam datasets. Compared to the Target and Source-only models, the findings show a notable improvement, especially in accuracy, during the initial training period.

关键词： Training Adaptation models Computational modeling Data integration Data models Rivers Faces Testing Overfitting Edge computing

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Mitigating Security Vulnerabilities in Cloud-Based Home Automation through Advanced Edge computing: A Comprehensive Framework for Privacy Enhancement and Data Protection

Mitigating Security Vulnerabilities in Cloud-Based Home Auto...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Biresh Kumar Shreya Kumari Ritesh Kumar Vineet Kumar Singh Binod Kumar Sharma Kamaldeep Gupta Amity Institute of Information Technology Amity University Jharkhand Ranchi Jharkhand India Cambridge Institute of Technology Tatisilwai Ranchi Jharkhand India Dept Of IT Dr. R.M.L. Avadh University Ayodhya UP Dept. of Computer Sci. & Engg. BIT Mesra Ranchi Jharkhand St. Xavier’s College Ranchi Jharkhand India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

With the soaring adoption of cloud-constructed home automation systems with CAGR of 8.5% from 2023 to 2030, security and privacy concerns have become critical considerations. this paper examines the security risks in cloud-based home automation systems and proposes leveraging edge computing to improve data security and privacy. We examine weaknesses including unapproved access, data leaks and highlight limitations of cloud-centric architectures. By integrating edge computing, we reduce data exposure, enable local processing, and improve control within the home environment. We explore how edge computing addresses specific attacks and offline operation during network disruptions. Challenges of incorporating edge computing into cloud-based home automation are discussed. this research contributes insights for achieving a more secure and privacy-enhanced home automation system.

关键词： Cloud computing Privacy Home automation Filtering Data protection Process control Real-time systems Internet of things Smart devices Edge computing

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Privacy-Preserving Model for Cyber threat Intelligence, Sharing Across Multi-Organizational Platforms

Privacy-Preserving Model for Cyber Threat Intelligence, Shar...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Shridhar Pandey H. Azath Rizwan Ur Rahman Hemraj Lamkuche School of Computing Science Engineering and Artificial Intelligence (SCAI) VIT Bhopal University Bhopal India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

the research presents a privacy-preserving structure for secure Cyber threat Intelligence (CTI) exchanging, using cutting-edge AI techniques to increase cooperative IT delicacy while keeping secret information safe. We propose a system based on Federated Learning, Differential Privacy and Homomorphic Encryption to model training in multiple organizations without exchanging the raw data. Using these privacy-preserving techniques together, organizations can collaborate to enhance their overall threat detection and response capabilities while maintaining the confidentiality of sensitive data. the implemented results indicate significant advancements with a 50%-55% detection accuracy overall for role intention measurement, model accuracy increase to 82% (predicting the next role intention), 30% computational overhead improvement, and a 10% improvement in novel threat detection. It provides 85% compliance against regulatory standards including GDPR and NIST. the applicability of the proposed solution on real-world data in the financial and healthcare domains demonstrates the proposed solution achieves a balance between privacy protection and CTI sharing still providing a powerful method for distributed, scalable and efficient collaboration in secure cybersecurity .

关键词： Differential privacy Privacy Accuracy Federated learning Collaboration Organizations threat assessment Cyber threat intelligence Homomorphic encryption Computer security

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Decentralised Cloud Architecture: Blockchain Driven Integrity and Raptor Codes for Enhanced Data Transmission

Decentralised Cloud Architecture: Blockchain Driven Integrit...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Preethi M Ayush Kale Pooja Satheesh Harshitha R Rohith Vaidya K Department of Computer Science PES University Bangalore India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Ensuring data integrity and security has become integral in the digital era. Blockchain, an immutable ledger can be leveraged to provide data integrity to the cloud system. Centralised cloud systems present challenges in data integrity, reliability and security due to single point of failure and control. the alternative decentralised approach distributes data across multiple nodes thus reducing reliance on one server. However, this can lead to issues like network congestion, difficulty verifying file integrity and origin of tampering. the proposed system uses a combination of decentralised cloud nodes, blockchain, and fountain codes to provide a robust, scalable and secure cloud solution. Blockchain is used to store hashes of the files and validate every operation ensuring transparency and integrity. To provide a robust data recovery and enhance reliability of communication amongst the nodes, fountain codes are utilised for data transmission.

关键词： Cloud computing Codes Data integrity Data security Fault tolerant systems Solitons Data models Blockchains Peer-to-peer computing Data communication

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the Security Verification and Analysis of Information Nodes in Cyberspace by Deep Spiking Algorithm

The Security Verification and Analysis of Information Nodes ...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Yuxin Zhai Zhehong Zhou Yanchao Li School of Computing Guangdong University of Science and Technology Dongguan China

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

In the research on the security verification technology of information nodes in cyberspace, the balance accuracy and operational stability are very important for the security of the entire Internet enterprise. In this paper, an improved method based on deep spiking algorithm is proposed to improve the effect of cyberspace information verification. In the process of research, the current security verification technology is analyzed and designed, and then the deep spiking algorithm is implemented. then, simulation experiments and final applications are carried out to verify its effectiveness. Experimental data shows that the improved system reduces the risk spillover level by 50% and improves the accuracy of safety verification by 30%. the comprehensive conclusions can show that the proposed method can significantly improve the security verification performance of information nodes in cyberspace, and provide a strong technical guarantee for the further safe and stable operation of Internet enterprises.

关键词： Accuracy Cyberspace Information security Aerospace electronics Data collection Stability analysis Internet Safety Security Standards

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the Evolution of Cloud computing: A Study of Aspirational Technologies and Practical Achievements

The Evolution of Cloud Computing: A Study of Aspirational Te...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Kamal Upreti Rituraj Jain Raj Kumar Kamal Goyal Deepika Komal Gupta Dept. of Computer Sciecne CHRIST University DelhiNCR India Dept. of IT Marwadi University Rajkot Gujarat India Gautam Buddha University Gautam Budh Nagar U.P India Pimpri Chinchwad University Pune India Dept. of Computer Science & Engg. Maharishi MM-Ambala Haryana India Accenture Bangalore India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Cloud computing has transformed the digital landscape, providing scalability, cost efficiency, and seamless access to computing resources. Yet, there is a gap between its theoretical aspirations and real-world achievements because of data privacy concerns, regulatory compliance, vendor lock-in, and performance bottlenecks. this paper critically examines these disparities through case studies, technological breakthroughs, and industry trends as a guide to understanding these impediments to cloud adoption. the study reviews the theoretical background of cloud computing, which include models related to deployment and service, and illustrates its successes in performance, reliability, and security. Persistent barriers, however, mean security and compliance are insecure while cost unpredictability remains a concern for organizations in using the maximum potential of a cloud. the study proposes strategic solutions that can serve to bridge the gap in terms of hybrid and multi-cloud adoption, AI-driven security frameworks, regulatory compliance automation, and various cost optimization techniques. Emerging trends like quantum computing, edge computing, and green cloud initiatives are shaping the future of cloud computing. By implementing these solutions, more is made out of the potential of cloud computing in securing a more efficient and sustainable digital infrastructure.

关键词： Industries Cloud computing Data privacy Costs Automation Scalability Digital transformation Market research threat assessment Security

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Proceedings - 16th IEEE international conference on Trust, Security and Privacy in computing and Communications, 11th IEEE international conference on Big Data Science and Engineering and 14th IEEE international conference on Embedded Software and systems, Trustcom/BigDataSE/ICESS 2017

Proceedings - 16th IEEE International Conference on Trust, S...

引用

16th IEEE international conference on Trust, Security and Privacy in computing and Communications, 11th IEEE international conference on Big Data Science and Engineering and 14th IEEE international conference on Embedded Software and systems, Trustcom/BigDataSE/ICESS 2017

ISBN: (纸本)9781509049059

the proceedings contain 153 papers. the topics discussed include: evolution of publicly disclosed information in facebook profiles;practical application-level dynamic taint analysis of android apps;authenticating compromisable storage systems;immediate attribute revocation in decentralized attribute-based encryption access control;on the effectiveness of ambient sensing for detecting NFC relay attacks;pseudo anonymous and hidden attribute comparison based on quick friend matching in mobile social networks;a distinction method of flooding DDoS and flash crowds based on user traffic behavior;based on multi-features and clustering ensemble method for automatic malware categorization;and a practical anti-collusion hierarchical identity-based non-interactive key agreement for wireless networks.

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Proceedings of the 14th IADIS international conference Computer Graphics, Visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and Proceedings of the 5th IADIS international conference Big Data Analytics, Data Mining and Computational Intelligence 2020, BigDaCI 2020 and Proceedings of the 9th IADIS international conference theory and Practice in Modern computing 2020, TPMC 2020 - Part of the 14th Multi conference on Computer Science and Information systems, MCCSIS 2020

Proceedings of the 14th IADIS International Conference Compu...

引用

14th IADIS international conference Computer Graphics, Visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and 5th IADIS international conference Big Data Analytics, Data Mining and Computational Intelligence 2020, BigDaCI 2020 and 9th IADIS international conference theory and Practice in Modern computing 2020, TPMC 2020, Part of the 14th Multi conference on Computer Science and Information systems, MCCSIS 2020

ISBN: (纸本)9789898704214

the proceedings contain 35 papers. the topics discussed include: data-driven approach for generating colormaps of scientific simulation data;a 3D-shockwave volume rendering algorithm based on feature boundary detection;using reorderable matrices to compare risk curves of representative models in oil reservoir development and management activities;laser spot detection and characteristic analysis in plasma interaction simulation;hybrid sort a pattern-focused matrix reordering approach based on classification;data interpolation based on contextual analysis for generating tomographic images in concrete specimen;graphical user interface personalization: user study of image frequency preferences;evaluation of color spaces for unsupervised and deep learning skin lesion segmentation;and repeated pattern extraction with knowledge-based attention and semantic embeddings.

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A Hardware Trojan Detection using Machine Learning Technique

A Hardware Trojan Detection using Machine Learning Technique

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Yashasvi Jaiswal S. Harihara Sitaraman School of Computing and Artificial Intelligence (SCAI) VIT Bhopal University Bhopal India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Hardware Trojan is a major vulnerability in the security of the system. Various researchers have worked on the hardware Trojan detection and prevention techniques as solutions that are based on traditional methods such as side-channel analysis, logic testing, and IC fingerprinting. these methods focus on detecting anomalies in the system's behavior or physical characteristics. In this paper, we are giving insights of hardware trojan detection and prevention along with experimental study using several machine learning techniques. We used an open-source circuit dataset for the design phase known as Gate Level Netlist (GLN) that is available on the trust-hub data repository. In experiments we found that Hierarchical Machine learning Methods such as decision tree and random forest classified the hardware trojan infected and non-infected chips with 98-99% accuracy

关键词： Adaptation models Technological innovation Accuracy Prevention and mitigation Logic gates Hardware Trojan horses Reliability Logic testing Random forests

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Proceedings - 14th IEEE international conference on Computational Science and Engineering, CSE 2011 and 11th international Symposium on Pervasive systems, Algorithms, and Networks, I-SPAN 2011 and 10th IEEE international conference on Ubiquitous computing and Communications, IUCC 2011

Proceedings - 14th IEEE International Conference on Computat...

引用

14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011, the 11th international Symposium on Pervasive systems, Algorithms, and Networks, I-SPAN 2011, and the 10th IEEE Int. Conf. on Ubiquitous computing and Communications, IUCC 2011

ISBN: (纸本)9780769544779

the proceedings contain 105 papers. the topics discussed include: authentication of online authorship or article based on hypothesis testing model;the study of hierarchical branch prediction architecture;fast, accurate on-chip data memory performance estimation;domain service acquisition and domain modeling based on feature model;automatic management of cyclic dependency among web services;building regionally spatial appearance model by topological color histogram;a novel video steganography based on non-uniform rectangular partition;analyzing a batch range proof to address a security concern;the analysis of load balance for wireless sensor network using compressive sensing;distributing subsystems across different kernels running simultaneously in a multi-core architecture;research on equal symmetric distributed fault-tolerant architecture and strategy for parallel satellite system;and a self starting block Adams methods for solving stiff ordinary differential equation.

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