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检索条件"任意字段=14th International Conference on Distributed Computing and Internet Technology, ICDCIT 2018"

共 206 条记录，以下是1-10 订阅

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14th international conference on distributed computing and internet technology, icdcit 2018

14th International Conference on Distributed Computing and I...

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14th international conference on distributed computing and internet technology, icdcit 2018

ISBN: (纸本)9783319723433

the proceedings contain 30 papers. the special focus in this conference is on distributed computing and internet technology. the topics include: Effect of Live Migration on Virtual Hadoop Cluster;performance Analysis of Parallel K-Means with Optimization Algorithms for Clustering on Spark;Hashing Supported Iterative MapReduce Based Scalable SBE Reduct Computation;reliable Condition Monitoring of Telecommunication Services with Time-Varying Load Characteristic;fast and Secure Handoffs for V2I Communication in Smart City Wi-Fi Deployment;ego Based Community Detection in Online Social Network;a Gateway Virtual Network Function for InfiniBand and Ethernet Networks;GMP2P: Mobile P2P over GSM for Efficient File Sharing;simulation of Network Growth Using Community Discovery in Biological Networks;review of Approaches for Linked Data Ontology Enrichment;a Style Sheets Based Approach for Semantic Transformation of Web Pages;efficient Anomaly Detection Methodology for Power Saving in Massive IoT Architecture;approximation Algorithms for Permanent Dominating Set Problem on Dynamic Networks;lightweight Verifiable Auditing for Outsourced Database in Cloud computing;a One Phase Priority Inheritance Commit Protocol;issues and Challenges in Big Data: A Survey;generate Optimal distributed Query Plans Using Clonal Selection Process;capAct: A Wordnet-Based Summarizer for Real-World Events from Microblogs;ARMM: Adaptive Resource Management Model for Workflow Execution in Clouds;a New Priority Heuristic Suitable in Mobile distributed Real Time Database System;formal Verification of Optimizing Compilers;efficient Algorithms for Local Density Based Anomaly Detection;Security Analysis of EMV Protocol and Approaches for Strengthening It;secure Synthesis of IoT via Readers-Writers Flow Model;BDI Based Performance Enhancement in DNSSEC.

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Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition 24

Towards Adaptive Asynchronous Federated Learning for Human A...

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14th international conference on the internet of things, IoT 2024

作者： Gajanin, Rastko Danilenka, Anastasiya Morichetta, Andrea Nastic, Stefan Distributed Systems Group TU Wien Vienna Austria Faculty of Mathematics and Information Science Warsaw University of Technology Warsaw Poland

ISBN: (纸本)9798400712852

In this work, we tackle the problem of performing multi-label classification in the case of extremely heterogeneous data and with decentralized Machine Learning. Solving this issue is very important in IoT scenarios, where data coming from various sources, collected by heterogeneous devices, serve the learning of a distributed ML model through Federated Learning (FL). Specifically, we focus on the combination of FL applied to Human Activity Recognition (HAR), where the task is to detect which kind of movements or actions individuals perform. In this case, transitioning from centralized learning (CL) to federated learning is non-trivial as HAR displays heterogeneity in action and devices, leading to significant skews in label and feature distributions. We address this scenario by presenting concrete solutions and tools for transitioning from centralized to FL for non-IID scenarios, outlining the main design decisions that need to be taken. Leveraging an open-sourced HAR dataset, we experimentally evaluate the effects that data augmentation, scaling, optimizer, learning rate, and batch size choices have on the performance of resulting machine learning models. Some of our main findings include using SGD-m as an optimizer, global feature scaling across clients, and persistent feature skew in the presence of heterogeneous HAR data. Finally, we provide an open-source extension of the Flower framework that enables asynchronous FL. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

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Intrusion Detection at the Edge computing: A Deep Learning Approach Using the UNSW-NB15 Dataset

Intrusion Detection at the Edge Computing: A Deep Learning A...

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international conference on Communication Systems and Network Technologies (CSNT)

作者： Vipin Kumar Vivek Kumar Abhay Pratap Singh Bhadauria Jay Dixit Amit Kumar Department of Computer Science Gurukula Kangri (Deemed to be University) Haridwar India Department of Computer Engineering & Applications GLA University Mathura Department of Computer Engineering & Applications GLA University Mathura UP

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Edge computing has transformed technology by enabling seamless connections between IoT devices, but it also introduces significant security challenges. EC is crucial for providing minimal latency processing and reducing the load on centralized servers, ensuring timely and scalable intrusion detection for IoT environments. the findings underscore the potential of combining edge computing, IoT, and deep learning to address evolving security challenges in distributed systems. To mitigate these risks, efficient models for detecting malicious activities are crucial. this study investigates the application of edge computing, internet of things (IoT), and deep learning to improve the performance of Intrusion Detection Systems (IDS). By leveraging the UNSW-NB15 dataset, the research assesses the capability of deep learning models to identify and mitigate cyber threats effectively. the results demonstrate better performance, showing their suitability for real-time security applications. these findings highlight the potential of intelligent intrusion detection systems powered by robust datasets and deep learning for addressing evolving security threats in edge computing environments.

关键词： Deep learning Image edge detection Computational modeling Intrusion detection Real-time systems internet of things Security Servers Long short term memory Edge computing

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Generate Optimal distributed Query Plans Using Clonal Selection Process 14th

Generate Optimal Distributed Query Plans Using Clonal Select...

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14th international conference on distributed computing and internet technology (icdcit)

作者： Rani, Ruby Jawaharlal Nehru Univ Sch Comp & Syst Sci New Delhi 110067 India

In this paper we have proposed a bio-inspired approach which selects optimal Top-k query plans of minimal cost from large search space. We have also shown that proposed approach is better in computing Top-k Query plan... 详细信息

ISBN: (纸本)9783319723440;9783319723433

关键词： Clonal selection Artificial immune system Genetic algorithm

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Lightweight Verifiable Auditing for Outsourced Database in Cloud computing 14th

Lightweight Verifiable Auditing for Outsourced Database in C...

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14th international conference on distributed computing and internet technology (icdcit)

作者： Kumar, Mayank Pasupuleti, Syam Kumar IIT BHU Varanasi Varanasi 221005 Uttar Pradesh India IDRBT Hyderabad 500057 India

ISBN: (纸本)9783319723440;9783319723433

Database outsourcing in Cloud computing enables the data owner to store the data on cloud and assign the management to a cloud service provider (CSP), which provides various cloud services to the users. However, outsourcing database to cloud poses many challenges. One of the major concerns is confidentiality of the data. the general approach to tackle this issue is by encrypting the database before outsourcing, this helps in protecting confidentiality but poses a new problem of verifying the search results. We propose a lightweight verifiable auditing scheme for secure outsourcing of database, which encrypts the database and verifies search results with both parameters of correctness and completeness. We design our scheme based on a lightweight homomorphic encryption scheme (LHE) and efficient authenticated data structures to ensure the confidentiality and integrity of the database respectively.

关键词： Cloud computing Database Lightweight homomorhic encryption Embedded Merkle B tree

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A New Priority Heuristic Suitable in Mobile distributed Real Time Database System 14th

A New Priority Heuristic Suitable in Mobile Distributed Real...

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14th international conference on distributed computing and internet technology (icdcit)

作者： Singh, Prakash Kumar Shanker, Udai MMM Univ Technol Dept Comp Sci & Engn Gorakhpur Uttar Pradesh India

ISBN: (纸本)9783319723440;9783319723433

Priority heuristic policies have been developed for centralized and distributed real time database systems where cohorts or sub transaction executed in sequential manner, however, these heuristics may not fit well for the mobile distributed real time database systems (MDRTDBS) where sub transactions are performing parallel execution and faces a lot of wireless challenges. In this paper, a MDRTDBS model has been introduced where sub-transaction executed parallel on different mobile sites and proposed a heuristic based on number of write locks. Proposed heuristic improves overall system performance by favoring sub transaction which demands lesser number of write locks. Further, a study has been done to evaluate impact of proposed heuristics with earliest deadline first and heuristic based on number of locks required using distributed high priority two phase locking protocol.

关键词： Real time Transaction Priority heuristic Mobile database

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Efficient Anomaly Detection Methodology for Power Saving in Massive IoT Architecture 14th

Efficient Anomaly Detection Methodology for Power Saving in ...

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14th international conference on distributed computing and internet technology (icdcit)

作者： Kumar, Palani D'Souza, Meenakshi Das, Debabrata Samsung Semicond India Res Bangalore Karnataka India Int Inst Informat Technol Bangalore Karnataka India

ISBN: (纸本)9783319723440;9783319723433

Energy saving is the paramount factor in the evolving internet of things (IoT) due to limited battery energy in the devices. An IoT device in anomaly condition will lead to transmission failure and power drain. It is imperative to detect the anomaly, whose occurrence is random in nature over time. the randomness in failure needs a statistical model of an IoT device to predict and stop the occurrence of anomaly. We propose a novel approach of modeling IoT devices as a finite state automaton, which is irreducible, a priori, has well determined emissions (refers to received signal strength) and finite hidden state space. We have designed a Hidden Markov Model (HMM) based approach to efficiently predict anomaly using which we orchestrate the time interval between successive transmissions from an IoT device. Experimental results reveal that our approach can determine anomaly of IoT device with accuracy as high as 98%. the higher anomaly detection rate results in saving around 14% of IoT device battery power by avoiding redundant transmissions.

关键词： internet of things

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distributed computing and internet technology 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Atul Negi Raj Bhatnagar Laxmi Parida

ISBN: (数字)9783319723440

ISBN: (纸本)9783319723433

this book constitutes the proceedings of the 14th international conference on distributed computing and internet technology, icdcit 2018, held in Bhubaneswar, India, in January 2018.;the 9 full papers, 11 short papers and 3 poster papers presented in this book were carefully reviewed and selected from 120 submissions. the icdcit conference focusses on security and privacy;;distributed and multiprocessing approaches; networks protocols and applications; and databases, algorithms, data processing and applications.

关键词： Computer Communication Networks Systems and Data Security Information Systems and Communication Service System Performance and Evaluation Computers and Society Cryptology

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A One Phase Priority Inheritance Commit Protocol 14th

A One Phase Priority Inheritance Commit Protocol

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14th international conference on distributed computing and internet technology (icdcit)

作者： Pandey, Sarvesh Shanker, Udai Madan Mohan Malaviya Univ Technol Comp Sci & Engn Dept Gorakhpur Uttar Pradesh India

ISBN: (纸本)9783319723440;9783319723433

High priority two phase locking (HP2PL) concurrency control algorithm can be used for accessing of data items to resolve conflicts amongst the concurrently executing transactions. Inclusion of priority inversion and data inaccessibility are the most undesirable problems in transactions' execution which seriously affect the system performance. Previously developed protocols for resolving such issues put a lot of messages and time overhead which is not desirable. In distributed real-time database system (DRTDBS), basic aim is to minimize the number of transactions missing their deadline. this can be achieved by minimizing commit time. In this paper, A One Phase Priority Inheritance Commit Protocol (OPPIC) has been proposed specifically reducing one round of message transfer among coordinator and participating cohorts' sites in case of priority inversion problem at any of the cohort of low priority transaction. Focus of this protocol is to minimize the priority inversion duration that in turn minimizes commit time. A distributed database system is simulated for measuring the performance of this protocol with 2PC and PIC protocols. the results confirm the significant improvement in system performance with the OPPIC protocol.

关键词： Concurrency control Commit protocol Priority inheritance Priority inversion distributed real-time database systems

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A Study for a Name-based Coordination of Autonomic IoT Functions 14

A Study for a Name-based Coordination of Autonomic IoT Funct...

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14th international conference on Wireless and Mobile computing, Networking and Communications (WiMob)

作者： Asaamoning, Godwin Mendes, Paulo Univ Lusofona COPELABS Lisbon Portugal

ISBN: (纸本)9781538668764

the internet-of-things represent a future trend of the internet, in which massive numbers of networked objects are assumed to have the capability of sharing data collected through sensing activities. It is envisioned that such objects are not dedicated hardware modules embedded specific machines communicating via proprietary wired or wireless networks to dedicated software applications. On contrary, internet-of-things may have a more autonomic deployment, in which objects are autonomous and communicate via existing IP based networks. Due to its distributed nature, there is the need to rely on autonomic networking to improve the efficiency while reducing the operational costs of internet-of-things frameworks. this paper aims to provide a study about the best data plane to support internet-of-things, and an analysis about the best model to support its distributed autonomic behavior.

关键词： internet-of-things Edge computing Autonomic Networking Named Data Networking

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