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Proceedings - 20th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing, SNPD 2019

Proceedings - 20th IEEE/ACIS International Conference on Sof...

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20th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing, SNPD 2019

ISBN: (纸本)9781728116518

the proceedings contain 84 papers. the topics discussed include: on preventing symbolic execution attacks by low cost obfuscation;code clone tracer (CCT): a tracking tool for analyzing human and social factors in creating and reusing code clones;connecting personal health records together with EHR using tangle;an multi-client web-based interactive HCI for interactive supercomputing;toward sustainable communities with a community currency a study in car sharing;extraction of useful features from neural network for facial expression recognition;and extracting related concepts from Wikipedia by using a graph database system.

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Proceedings - 20th IEEE international Symposium on Parallel and distributed Processing with Applications, 12th IEEE international conference on Big Data and Cloud computing, 12th IEEE international conference on Sustainable computing and Communications and 15th IEEE international conference on Social computing and networking, ISPA/BDCloud/SocialCom/SustainCom 2022

Proceedings - 20th IEEE International Symposium on Parallel ...

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20th IEEE international Symposium on Parallel and distributed Processing with Applications, 12th IEEE international conference on Big Data and Cloud computing, 12th IEEE international conference on Sustainable computing and Communications and 15th IEEE international conference on Social computing and networking, ISPA/BDCloud/SocialCom/SustainCom 2022

ISBN: (纸本)9781665464970

the proceedings contain 117 papers. the topics discussed include: detection of a novel dual attack in named data networking;fair DMA scheduler for low-latency accelerator offloading;multi-attribute decision-making method based on interval intuitionistic trapezoidal fuzzy number to determine the expert weight: note: sub-titles are not captured in Xplore and should not be used;binary-level directed symbolic execution through pattern learning;an efficient metric-based approach for static use-after-free detection;a graph convolution neural network based method for insider threat detection;maintenance worker scheduling for charging pile fault: a multi-agent RL approach;towards secure bilateral friend query with conjunctive policy matching in social networks;structure-noise-aware anchor link prediction across social networks;file system to support secure cloud-based sharing;discovering agent models using process mining: initial approach and a case study;and towards agent-based simulation of the parallel trading market of pharmaceuticals.

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Proceedings - 2019 20th international conference on Parallel and distributed computing, Applications and Technologies, PDCAT 2019

Proceedings - 2019 20th International Conference on Parallel...

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20th international conference on Parallel and distributed computing, Applications and Technologies, PDCAT 2019

ISBN: (纸本)9781728126166

the proceedings contain 94 papers. the topics discussed include: optimizing deep learning split deployment for IoT edge networks;efficient fault-tolerant syndrome measurement of quantum error-correcting codes based on 'flag';comparison of binary rain prediction on HIMAWARI using MPI and CUDA;effect of parallel processing by duplicating histogram in automatic image binarization for high-level synthesis;joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks;ultra reliable communication: availability analysis in 5G cellular networks;an improved online multidimensional bin packing algorithm;and improving recommender systems accuracy in social networks using popularity.

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NetProbe: Deep Learning-Driven DDoS Detection with a Two-Tiered Mitigation Strategy 25

NetProbe: Deep Learning-Driven DDoS Detection with a Two-Tie...

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26th international conference on distributed computing and networking, icdcn 2025

作者： Jha, Prianshu Singh, Gurpreet Kumar, Amit Agrawal, Dewesh Patel, Yashwant Singh Forough, Javad Department of Computer Science and Engineering Thapar Institute of Engineering and Technology Punjab Patiala India Department of Computing Science Umea University Umeå Sweden

ISBN: (纸本)9798400710629

Web servers are the backbone of modern Internet infrastructure, serving as the primary medium for online information distribution. Despite their critical role, web servers are susceptible to cyber-attacks. While current firewall mechanisms provide some level of protection against cyber threats, the evolving nature of these attacks and emerging vulnerabilities continue to pose significant risks. One of the most prevalent yet lethal attacks known today is DDoS (distributed Denial of Service) attacks. these growing risks emphasize the urgent need for dynamic and robust threat detection and mitigation systems. this paper presents a comparative analysis of ensemble learning models (e.g., Random Forest, XGBoost, and LightGBM) and neural network-based models (e.g., Graph Neural Networks (GNN), Long Short-Term Memory networks (LSTM) with attention layers, and Gated Recurrent Units (GRU)) for DDoS attack detection and classification. Based on this analysis, we propose a real-time DDoS attack detection system integrated with a mitigation mechanism. the proposed system utilizes a two-tiered mitigation strategy assisted by UFW (Uncomplicated Firewall) and Apache server configuration files to block the incoming and outgoing traffic associated with suspicious IP addresses. the system's overall complexity, integrating both detection and response processes, ensures its efficiency in real-time environments while handling large volumes of traffic. Furthermore, the proposed approach achieves 15% improvement in detection accuracy and 20% reduction in false positives compared to traditional techniques, making it an effective and scalable solution for modern web server security. © 2025 Copyright held by the owner/author(s).

关键词： Decision trees

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FaaS@Edge: Bringing Function-as-a-Service to Voluntary computing at the Edge 20th

FaaS@Edge: Bringing Function-as-a-Service to Voluntary Comp...

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20th international conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2024

作者： Gonçalves, Catarina Simão, José Veiga, Luís INESC-ID Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Lisboa Portugal

ISBN: (纸本)9783031812255

Function-as-a-Service (FaaS) is an emerging cloud computing model ideal for processing vast amounts of data generated by the Internet of things. However, existing FaaS approaches struggle to leverage resources efficiently on distributed edge devices. Our work presents FaaS@Edge, a solution that employs volunteered resources from edge nodes, discovered through the IPFS network, to deploy functions using the Apache OpenWhisk framework and enhancing the system’s scalability and efficiency. this approach supports various language runtimes, ensuring near-universal deployability on edge devices. Our evaluation demonstrates that FaaS@Edge introduces a latency overhead for function submission but achieves similar invocation times compared to a local OpenWhisk deployment. FaaS@Edge maintains high request success rates, with overall request success rates around 98% for both submission and invocation. these results confirm that FaaS@Edge provides a viable and efficient model for FaaS deployment in edge computing environments, facilitating low latency and efficient resource utilization. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Mobile edge computing

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A Scalable and Composable Analytics Platform for distributed Wide-Area Tracking 20

A Scalable and Composable Analytics Platform for Distributed...

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20th international conference on distributed computing and networking (icdcn)

作者： Khochare, Aakash Simmhan, Yogesh Indian Inst Sci Dept Computat & Data Sci Bangalore Karnataka India

ISBN: (纸本)9781450360944

Smart cities are a manifestation of the Internet of things (IoT). the push for smart cities has led to the proliferation of video cameras in public spaces [1]. London is expected to deploy 642,000 cameras by 2020. these cameras will be used primarily for surveillance of the city for urban safety. At the same time, such smart city deployments have also seen edge and fog computing paradigms gain preference over the cloud-only computing model [2]. this is due to the network proximity of the edge and fog devices to the data sources, offering lower latency access to data and lower bandwidth requirements to push high volume data, such as video streams, to the cloud. © 2019 Association for computing Machinery.

关键词： Smart city

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Load Balanced Transaction Scheduling in On-demand computing using Cuckoo Search-Ant Colony Optimization 20

Load Balanced Transaction Scheduling in On-demand Computing ...

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20th international conference on distributed computing and networking (icdcn)

作者： Mahato, Dharmendra Prasad Natl Inst Technol Hamirpur Hamirpur Himachal Prades India

ISBN: (纸本)9781450360944

Load balanced transaction scheduling in on-demand computing system is known to be NP-hard problem. In order to solve this problem, this paper introduces a hybrid approach named cuckoo search-ant colony optimization. the approach dynamically generates an optimal schedule by clustering the on-demand computing resources considering their load and completes the transaction execution within their deadlines. the approach also balances the load of the system before scheduling the transactions. For clustering the resources we use cuckoo search method. We use ant colony optimization for selecting the appropriate and optimal resources. We evaluate the performance of the proposed algorithm with six existing algorithms.

关键词： Transaction scheduling On-demand computing system Ant colony optimization Cuckoo search

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NOVN: A named-object based virtual network architecture to support advanced mobile edge computing services

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PERVASIVE AND MOBILE computing 2020年 69卷

作者： Bronzino, Francesco Maheshwari, Sumit Seskar, Ivan Raychaudhuri, Dipankar Univ Savoie Mt Blanc Chambery France Rutgers State Univ WINLAB New Brunswick NJ 08901 USA

Achieving advanced Mobile Edge computing (MEC) services such as dynamic resource assignment and slicing, maintaining Quality of Service (QoS), and enabling heterogeneous virtual functions are some of the technical challenges associated with edge-cloud enhanced 5G architectures now under consideration. this paper proposes a named-object based virtual network (NOVN) architecture to support low-latency applications in the MEC. Software router implementation running on the ORBIT testbed validates the named-object approach, showing low VN processing and control overhead, and making it possible to achieve low latency. A latency performance improvement of 30% is achieved as compared to the baseline implementation without NOVN. the results also validate feasibility of using the advanced MEC services for an example latency constrained edge cloud scenario. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Virtual networks Name-object networking Mobile edge computing Network slicing

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the Weakest Failure Detector to Solve the Mutual Exclusion Problem in an Unknown Dynamic Environment 19

The Weakest Failure Detector to Solve the Mutual Exclusion P...

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20th international conference on distributed computing and networking (icdcn)

作者： Mauffret, Etienne Jeanneau, Denis Arantes, Luciana Sens, Pierre Univ Savoie Mt Blanc LISTIC Chambery France Sorbonne Univ CNRS INRIA LIP6 Paris France

ISBN: (纸本)9781450360944

Mutual exclusion is one of the fundamental problems in distributed computing but existing mutual exclusion algorithms are unadapted to the dynamics and lack of membership knowledge of current distributed systems (e.g., mobile ad-hoc networks, peer-to-peer systems, etc.). Additionally, in order to circumvent the impossibility of solving mutual exclusion in asynchronous message passing systems where processes can crash, some solutions include the use of (T+Sigma(l)) [3], which is the weakest failure detector to solve mutual exclusion in known static distributed systems. In this paper, we define a new failure detector T Sigma(lr) which is equivalent to (T+Sigma(l)) in known static systems, and prove that T Sigma(lr) is the weakest failure detector to solve mutual exclusion in unknown dynamic systems with partial memory losses. We consider that crashed processes may recover.

关键词： distributed algorithms dynamic networks mutual exclusion failure detectors

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distributed α-Fair Transmit Power Adaptation Based Congestion Control in VANET 19

Distributed α-Fair Transmit Power Adaptation Based Congesti...

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20th international conference on distributed computing and networking (icdcn)

作者： Navdeti, Chandrakant Giri, Chandan Banerjee, Indrajit Indian Inst Engn Sci & Technol Dept Informat Technol Sibpur Howrah India

ISBN: (纸本)9781450360944

Major problem of IEEE 802.11 based Vehicular Ad-hoc Network (VANET) is traffic congestion. the traffic congestion occurs due to unnecessary bandwidth usages, high vehicle density, excess increase in transmission power and immediate topology changes in a vehicular ad-hoc network which leads to excessive packet loss and lowers the safety of the applications. Under such conditions, all the transmitted packets from the source may not be delivered to the destination. Vehicles unaware of the traffic congestion increase the difficulty of it by eventually joining it. Many congestion control techniques have been proposed, but still, the problem arises. In this paper, we propose distributed alpha-Fair Transmit Power Adaptation Based Congestion Control in Vehicular Ad-hoc Network to discover and reduce traffic congestion using the transmit power control and optimum node selection for cooperative VANET in the framework of the utility function optimization. the proposed system has better performance as compared to DFAV, DV-CAST, and UV-CAST regarding packet reception probability, average packet delivery ratio, and average end-to-end packet delivery delay in Vehicular Ad-hoc Network (VANET).

关键词： Vehicular Ad-hoc Network (VANET) Link stability Quality of link Network Utility Maximization (NUM)

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