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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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Multimedia Security Using Blockchain and IoT-Based distributed System 6

Multimedia Security Using Blockchain and IoT-Based Distribut...

引用

6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Dhar, Shalini Khare, Ashish University of Allahabad Department of Electronics and Communication Prayagraj India

ISBN: (纸本)9798350304480

This article explores how IoT device systems handle multimedia data and presents a secure multimedia framework utilizing blockchain technology. The proposed framework high- lights how blockchain ensures the safety and transparency of multimedia records, document access, and shipping processes between owners and customers. To address these challenges, we introduce a decentralized peer-to-peer multimedia file-sharing platform based on the Inter Planetary File System (IPFS) built on blockchain technology. Additionally, we propose a multimedia file block approval consensus mechanism. Recently, blockchain has been recognized as a potential technology to enforce critical security requirements in IoT devices. It offers protection for IoT networks that require sharing multimedia data, including applications in smart cities, retail, energy, security surveillance, and healthcare. © 2023 ieee.

关键词： Blockchain Technology distributed IoT IPFS Multimedia

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Enhanced DDoS Defense in SDN: Double-Layered Strategy with Blockchain Integration 13

Enhanced DDoS Defense in SDN: Double-Layered Strategy with B...

引用

13th ieee international conference on Communications, Circuits and systems (ICCCAS)

作者： Tian, Jialin Shu, Zhaogang Chen, Shuwu Xie, Haihui Liu, Xiaolong Qiu, Caiyu Fujian Agr & Forestry Univ Comp & Informat Coll Fuzhou Peoples R China

ISBN: (纸本)9798350386288;9798350386271

With the development of technologies such as cloud computing, big data, and the Internet of Things (IoT), Software-Defined Networking (SDN) has emerged as a novel network architecture in today's Internet era. It can separate the control plane from the data plane, allowing rapid packet forwarding in the Internet through a centralized controller. However, SDN environments are vulnerable to traditional distributed Denial of Service (DDoS) attacks. This paper proposes a new dual layer strategy to try to mitigate the question. First, by using blockchain technology and smart contract in the northbound interface to store the flow tables required for SDN networks, security is increased. Then, we use the Token Bucket algorithm and Time Window algorithm to build the first-tier strategy to defend against obvious DDoS attacks. To detect unobvious DDoS attacks, we design the second-tier strategy that uses a composite data feature correlation coefficient calculation method and the Isolation Forest algorithm to perform binary classification on data, thereby identifying abnormal traffic. We use the currently publicly available DDoS dataset CIC-DDoS2019 for experimental verification. The results show that using this strategy in SDN networks results in an average deviation of data Round-Rip Time (RTT) approximately 38.86% lower than in the original SDN networks without this strategy. Additionally, the accuracy of DDoS attack identification reaches 91.29%. This means that with the implementation of this strategy, DDoS attacks can be effectively identified without compromising the stability of data transmission in SDN network environments.

关键词： Software Defined Networks distributed Denial of Service Blockchain Machine learning

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Optimal Design of Heliostat Field Using Random Search Algorithm 6

Optimal Design of Heliostat Field Using Random Search Algori...

引用

6th ieee international conference on Power, Intelligent computing and systems, ICPICS 2024

作者： Mou, Chenglin Wu, Kaiqi Du, Pengcheng Yang, Kaibo School of Civil Engineering and Architecture Henan University of Science and Technology Department of Engineering Mechanics Luoyang471099 China School of Information Engineering Henan University of Science and Technology Department of Computer Science and Technology Luoyang471099 China School of Information Engineering Henan University of Science and Technology Department of Automation Luoyang471099 China School of International Education Henan University of Science and Technology Department of Civil Engineering Luoyang471099 China

ISBN: (纸本)9798350374315

Tower solar thermal power generation is a new type of low-carbon and environmentally friendly clean energy technology. In this paper, a single-objective optimization model is established with the maximum annual average thermal output per unit mirror area of the heliostat field as the objective function. By optimizing the heliostat width, heliostat height and heliostat coordinate, the annual average output thermal power can be maximized while meeting the rated power. The heliostat field is distributed in a circular shape. As the seasons change, the light intensity received by the heliostat field is uneven, so the optical efficiency of the heliostats is also different. We simplify the heliostat field into S area (area with higher optical efficiency) and W area (area with lower optical efficiency) based on the optical efficiency distribution of heliostats. At different locations, According to the heliostat width, heliostat height and heliostat coordinate generated by random functions, substituting these parameters into the efficiency model in this paper, and the random search algorithm is used to traverse the maximum annual output thermal power and the corresponding heliostat parameters. In the shadow occlusion loss model, we have grid to set up the heliostat and use the coordinate conversion to solve the shadow occlusion loss efficiency. © 2024 ieee.

关键词： Heliostats (instruments)

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Object-level 3D Semantic Mapping using a Network of Smart Edge sensors 6

Object-level 3D Semantic Mapping using a Network of Smart Ed...

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6th ieee international conference on Robotic computing, (IRC)

作者： Hau, Julian Bultmann, Simon Behnke, Sven Univ Bonn Autonomous Intelligent Syst Bonn Germany

ISBN: (纸本)9781665472609

Autonomous robots that interact with their environment require a detailed semantic scene model. For this, volumetric semantic maps are frequently used. The scene understanding can further be improved by including object-level information in the map. In this work, we extend a multi-view 3D semantic mapping system consisting of a network of distributed smart edge sensors with object-level information, to enable downstream tasks that need object-level input. Objects are represented in the map via their 3D mesh model or as an object-centric volumetric sub-map that can model arbitrary object geometry when no detailed 3D model is available. We propose a keypoint-based approach to estimate object poses via PnP and refinement via ICP alignment of the 3D object model with the observed point cloud segments. Object instances are tracked to integrate observations over time and to be robust against temporary occlusions. Our method is evaluated on the public Behave dataset where it shows pose estimation accuracy within a few centimeters and in real-world experiments with the sensor network in a challenging lab environment where multiple chairs and a table are tracked through the scene online, in real time even under high occlusions.

关键词： Object-level mapping semantic scene understanding intelligent sensors and systems distributed perception

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Authenticating distributed systems Using SPIRE over Kubernetes Cluster

Authenticating Distributed Systems Using SPIRE over Kubernet...

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2022 ieee international conference on Electronics, computing and Communication Technologies, CONECCT 2022

作者： Goel, Akarsh Thangaraju, B. International Institute of Information Technology India

ISBN: (数字)9781665497817

ISBN: (纸本)9781665497817

distributed systems like microservices, containerized applications and cloud computing are considered crown jewels for developing business driven applications. These systems provide scalability, resiliency, ease of accessibility and act like self-contained independent applications. As microservices grow, it becomes difficult to establish secure communication with them. Absence of secure communication could lead to security breaches like identity spoofing, identity repudiation, data in-confidentiality, broken data integrity and data un-availability. If a rogue microservice exists in the organization's environment, it could easily access critical microservices residing in the *** Project, an implementation of the Secure Production Identity Framework for Everyone (SPIFFE), is an open- source standard which could be leveraged to solve above- mentioned security challenges. This paper talks about various capabilities of the SPIFFE framework for secure bootstrapping and issuing unique cryptographic identities to distributed systems. We would showcase how distributed systems could mutually authenticate to prove their individual identities, before these systems could try and access critical data. © 2022 ieee.

关键词： Authentication

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Load Balancing in Cloud computing Environment using Butterfly Optimization Algorithm 3

Load Balancing in Cloud Computing Environment using Butterfl...

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3rd ieee international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Alzubaidi, Laith H. Arabi, Mohammed Yousif Kumar, Bura Vijay Kumar, M. Hema Almoussawi, Zainab Abed The Islamic University Najaf Iraq National University of Science and Technology Dhi Qar Iraq School of Computer Science and Artificial Intelligence SR University Telangana Warangal India Electronics and Communication Engineering Sona College of Technology Salem India College of Islamic Science Ahl Al Bayt University Karbala Iraq

ISBN: (纸本)9798350317022

Load balancing is the process of distributing the incoming traffic of the network among various resources and servers. When one of the servers fails, the load balancer transfers the network traffic to the other servers across the group. As soon as a server is joined to the group, the load balancer begins delivering traffic to that server as part of its balancing mechanism. It is a challenging effort to use distributed storage systems to manage a big amount of data and the synchronisation issue between many consumers or producers. In order to address this issue, this research proposal offers payload benchmarking with dynamic load balancing in distributed streaming storage systems using Butterfly Optimization Algorithm (BOA). The main objective of the optimization technique is to analyze the benchmarking data and find the failure prediction of Kafka benchmarking. The BOA is used to solve optimization problems, particularly when there is insufficient or faulty data. To achieve the highest throughput from the streaming storage system, the performance of the benchmarking tool for distribution has been enhanced. The performance of the Kafka and DevOps systems is validated by the parameters of network latency as 3800ms, Execution time as 970ms, Memory size as 385kb, and Bandwidth as 380kb. The performance of the benchmarking tool for distributing the streaming storage system has been improved to achieve the maximum possible throughput from the streaming storage system. © 2023 ieee.

关键词： Butterfly Optimization Algorithm Cloud computing distributed storage systems Kafka benchmark Load balancing

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Leveraging distributed contact force measurements for slip detection: a physics-based approach enabled by a data-driven tactile sensor 39

Leveraging distributed contact force measurements for slip d...

引用

ieee international conference on Robotics and Automation (ICRA)

作者： Griffa, Pietro Sferrazza, Carmelo D'Andrea, Raffaello Swiss Fed Inst Technol Inst Dynam Syst & Control Zurich Switzerland

ISBN: (纸本)9781728196817

Grasping objects whose physical properties are unknown is still a great challenge in robotics. Most solutions rely entirely on visual data to plan the best grasping strategy. However, to match human abilities and be able to reliably pick and hold unknown objects, the integration of an artificial sense of touch in robotic systems is pivotal. This paper describes a novel model-based slip detection pipeline that can predict possibly failing grasps in real-time and signal a necessary increase in grip force. As such, the slip detector does not rely on manually collected data, but exploits physics to generalize across different tasks. To evaluate the approach, a state-of-the-art vision-based tactile sensor that accurately estimates distributed forces was integrated into a grasping setup composed of a six degrees-of-freedom cobot and a two-finger gripper. Results show that the system can reliably predict slip while manipulating objects of different shapes, materials, and weights. The sensor can detect both translational and rotational slip in various scenarios, making it suitable to improve the stability of a grasp.

关键词： Visualization Force measurement Pipelines Force Tactile sensors Grasping Real-time systems

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Clustering by Improved PSO based Jaya Algorithm for Energy Optimization of Wireless sensor Networks 5

Clustering by Improved PSO based Jaya Algorithm for Energy O...

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5th ieee international conference on Electrical, Computer and Communication Technologies, ICECCT 2023

作者： Malarvizhi, P. Kavithaa, G. Computer Science and Engineering Knowledge Institute of Technology Salem India Electronics and Communication Engineering Government College of Engineering Salem India

ISBN: (纸本)9781665493604

In recent years, industries have automated processes which mean the amount of human participation has decreased, resulting in the Fourth Industrial Revolution. A highly distributed self-organizing system known as a Wireless sensor Networks is employed in so many control systems such as monitoring the surroundings, automate the reporting, and detecting the event. High bandwidth needs, high power consumption, security and quality of service delivery are some of the obstacles that wireless sensor networks must overcome. Each sensor node in a wireless sensor networks has a different power consumption rate based on the non-uniformity of event detection and the interspace between the sink node and sensor node. This shortens the lifespan of the network and causes an energy difference between the sensor nodes. Particle Swarm Optimization based Jaya algorithm (PSO-J) has been experimented to lower the power consumption of the sensor node by improving the selection of cluster head. The proposed algorithm provides better results than existing clustering algorithms. © 2023 ieee.

关键词： sensor nodes

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SC 2023 - international conference for High Performance computing, Networking, Storage and Analysis

SC 2023 - International Conference for High Performance Comp...

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2023 international conference for High Performance computing, Networking, Storage and Analysis, SC 2023

ISBN: (纸本)9798400701092

The proceedings contain 99 papers. The topics discussed include: SYnergy: fine-grained energy-efficient heterogeneous computing for scalable energy saving;5 ExaFlop/s HPL-MxP benchmark with linear scalability on the 40-million-core Sunway supercomputer;GreenNFV: energy-efficient network function virtualization with service level agreement constraints;demystifying and mitigating cross-layer deficiencies of soft error protection in instruction duplication;a quantitative approach for adopting disaggregated memory in HPC systems;legate sparse: distributed sparse computing in Python;large-scale simulation of structural dynamics computing on GPU clusters;NNQS-transformer: an efficient and scalable neural network quantum states approach for ab initio quantum chemistry;and a high-performance MST implementation for GPUs.

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Congestion Based Adaptive Association Mechanism for ieee 802.11ah Based Large IoT Network 5th

Congestion Based Adaptive Association Mechanism for IEEE 80...

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5th EAI international conference on Cognitive computing and Cyber Physical systems, IC4S 2024

作者： R, Nandhini R, Radha School of Computer Science and Engineering Vellore Institute of Technology–Chennai Chennai India

ISBN: (纸本)9783031770807

The ieee 802.11 ah standard is the prominent protocol for medium range communication in the domain of Internet of Things (IoT), facilitating interaction between wireless sensor nodes and access points. Supporting up to approximately 8192 nodes connected to a single access point through single hop strategies, ieee 802.11 ah employs CSMA/CA for the authentication and association process of sensor nodes with access point. However, the standard encounters challenges such as significant collisions and prolonged network setup times when attempting to associate an excessive number of wireless sensor nodes with a single access point, primarily due to authentication thresholds set at intervals. In this research, we propose a dynamic adjustment of the authentication threshold based on network congestion status. Learning parameters including the number of requests served successfully by the access point in the past, present and a congestion threshold are leveraged to adapt to current network congestion levels. Through evaluation using the LILD method in the ns-3 simulator, our approach demonstrates considerable enhancements in terms of collision reduction and network setup efficiency. This research endeavours to promote responsible network management practices for improving the performance and reliability of ieee 802.11 ah based IoT deployments. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Internet of things

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