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检索条件"任意字段=Proceedings of the 15th International Conference on Distributed Computing Systems"

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Dynamic Maximal Matching in Clique Networks 15

Dynamic Maximal Matching in Clique Networks

引用

15th Innovations in theoretical Computer Science conference (ITCS)

作者： Li, Minming Robinson, Peter Zhu, Xianbin City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China Augusta Univ Sch Comp & Cyber Sci Augusta GA 30912 USA

ISBN: (纸本)9783959773096

We consider the problem of computing a maximal matching with a distributed algorithm in the presence of batch-dynamic changes to the graph topology. We assume that a graph of n nodes is vertex-partitioned among k players that communicate via message passing. Our goal is to provide an efficient algorithm that quickly updates the matching even if an adversary determines batches of edge insertions or deletions. We first show a lower bound of Q ( k) rounds for recomputing a matching assuming an oblivious adversary who is unaware of the initial (random) vertex partition as well as the current state of the players, and a stronger lower bound of Q( k rounds against an adaptive adversary, who may choose any balanced (but not necessarily random) vertex partition initially and who knows the current state of the players. We also present a randomized algorithm that has an initialization time of 0 log n) rounds, while achieving an update time that that is independent of n: In more detail, the update time is 0( N1 log k) against an oblivious adversary, who must fix all updates in advance. If we consider the stronger adaptive adversary, the update time becomes 0 ([1 log k) rounds.

关键词： distributed graph algorithm dynamic network maximal matching randomized algorithm lower bound

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A Low-Cost Edge-IoT Based Smart Poultry Farm 15

A Low-Cost Edge-IoT Based Smart Poultry Farm

引用

15th international conference on Communication systems and Networks (COMSNETS)

作者： Vijay, Alokik Garg, Tushar Goyal, Vikas Rashmi Yadav, Ajay Mukherjee, Rahul Bennett Univ Dept Elect & Commun Engn Greater Noida India Panipat Inst Engn &Technol Dept Elect & Commun Engn Panipat India Jaipur Natl Univ Sch Life & Basic Sci Jaipur Rajasthan India

ISBN: (纸本)9781665477062

Poultry farming based products significantly contribute in providing healthy and protein-based food to human beings. the rapid increase in demand for poultry-based products and the growth of information and communication tools lead to smart poultry farms. the environment of the poultry farm has a significant impact on the health of the birds and the production of the farm. this article proposes a low-cost edge computing and Internet of things ( IoT)-based solution for poultry farms to control the farm environment with minimal human intervention and control of diseases in poultry farm. the model will sense the temperature, humidity, greenhouse gases, and light intensity inside the poultry farm and send these signals to the local server developed with the help of the Raspberry Pi. With the help of edge computing, data is processed at the local server and intelligent information is extracted to control the various actuators inside the farm. the cost of the system is affordable for the farmers due to usage of low-cost computing devices like the Raspberry Pi.

关键词： IoT Smart Poultry Farming Precision Livestock Farming Edge computing

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Enhancing Medical VQA with Self-Attention Based Multi-Model Approach 15

Enhancing Medical VQA with Self-Attention Based Multi-Model ...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Sakthivel, V. Mohan, Bharathi G. Elakkiya, R. Department of Computer Science Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Department of Computer Science BITS Pilani Dubai Campus Dubai United Arab Emirates

ISBN: (纸本)9798350370249

In the medical and healthcare fields, the integration of clinical images and question-answering systems is believed to be a powerful tool that has the capacity to change the pattern of diagnosing. the proposed model introduces an innovative approach using CNN and LSTM with self-attention for medical Visual Question Answering (VQA). Our approach serves the role of feature extraction and question embedding. the achieved results reveal the efficiency of the model in interpreting the VQA-RAD dataset, which mainly consists of radiology images. the baseline model obtained an accuracy of 70.71% without self-attention and 71.97% with self-attention. Additionally, the DenseNet Pretrained Model with self-attention scored an accuracy of 74.89%, and without self-attention, it achieved an accuracy of 73.22%, showing reliable performance against existing solutions. this paper contributes to the development of medical VQA systems and proposes avenues for future research and adjustments in the applications of healthcare systems. ©2024 IEEE.

关键词： Diagnosis

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15th international conference on Intelligent computing and Networking, IC-ICN 2024

15th International Conference on Intelligent Computing and N...

引用

15th international conference on Intelligent computing and Networking, IC-ICN 2024

ISBN: (纸本)9789819786305

the proceedings contain 16 papers. the special focus in this conference is on Intelligent computing and Networking. the topics include: Performance Analysis of Medical Image Fusion Using Wavelet Technique;correlation Analysis and Stock Market Prediction of Nifty and Nasdaq Indices Using Machine Learning Techniques;Integrated RFID-Verified Smart Manufacturing System for Bottle Production Using Industry 4.0;Comparing Advanced Programming Languages Based on Machine Learning (ML);optimal Cluster and Node Balancing Technique Using K-Mean Based on Q-Learning for Wireless Sensor Network;optimizing IoT Task Offloading with Federated Deep Reinforcement Learning in Vehicle and Industrial Environments;enhancing Video Action Recognition with Spatial–Temporal Convolutional Attention Networks;spatial Federated Learning Based Blockchain Mechanism for Smart Contract Vulnerability Detection;enhancing Healthcare Recommendations for Special-Need Patients Using Deep Learning and Blockchain Security;machine-Learning-Enhanced Blockchain for Dynamic Pricing Models in E-Commerce;mining Intelligence Hierarchical Feature for Malware Detection;scraping Data from Google Maps: Comparisons and Experimentations;source Code Pre-processing and Analysis to Extricate Features Using Abstract Syntax Tree;AI-Based Wireless Communication: Ultra-Reliable MAC Protocols.

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Perception System of Autonomous Vehicles: Sophisticated Attacks, Defense Strategies, and Future Directions 15

Perception System of Autonomous Vehicles: Sophisticated Atta...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Neethu, M.R. Remyakrishnan, P. Mukesh, Sa Barath Kumar, J. Royal, Ala Manas Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Coimbatore641112 India Amrita Vishwa Vidyapeetham TIFAC-CORE in Cyber Security Amrita School of Engineering Coimbatore641112 India

ISBN: (纸本)9798350370249

the advent of autonomous vehicles marks a significant milestone in the evolution of automotive technologies. Central to the operation of autonomous vehicles is the perception system that interprets the surroundings and makes decisions. the security of perception systems against malicious attacks is a critical concern. this work thoroughly analyzes the vulnerabilities inherent in the perception systems of autonomous vehicles, examining the multifaceted threats posed by adversaries. the crucial need for ongoing research in AV security is underscored and a framework for future investigations to develop more secure and trustworthy autonomous vehicles is provided. the analysis emphasizes the importance of a proactive approach to security, advocating for integrating advanced defense mechanisms as a fundamental component of autonomous vehicle design and development and future research challenges. © 2024 IEEE.

关键词： Autonomous Vehicles Camera Lidar Perception systems Security attacks

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A Novel Blockchain-Based Encryption Model to Protect Fog Nodes 15

A Novel Blockchain-Based Encryption Model to Protect Fog Nod...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Agrawal, Ruchi Singhal, Saurabh Sharma, Ashish GLA University Mathura India

ISBN: (纸本)9798350370249

Utilizing blockchain along with fog computing to improve secure data access control mechanisms within the realm of distributed data storage and authentication poses various challenges. One such hurdle is finding a balance between decentralization and scalability within blockchain technology. As the blockchain ledger grows, it may lead to increased latency and resource requirements. the goal of this research is to combine blockchain with fog computing, along with an algorithm for hybrid encryption, to improve the security and efficiency of data access control in distributed data storage as well as authentication. Authentication mechanisms leverage Multi-Factor Authentication (MFA) and Token-Based Authentication for heightened security. Token-Based Authentication employs dynamic codes generated by a physical or mobile token. Symmetric encryption ensures efficiency in data transmission, while asymmetric encryption provides secure key exchange Honey Encryption-based Hybrid Cryptographic Algorithm. the integration of the Zero Trust Security (ZTS) Model with Secure Multi-Party Computation (SMPC) enhances the security of data access and storage in distributed fog environments. Zero Trust emphasizes the necessity for continuous verification of user and device trustworthiness, irrespective of their location, reinforcing the principles of SMPC. MATLAB experiments were implemented to evaluate the efficacy of proposed mechanisms under a range of scenarios. Leveraging the platform's computational capabilities, simulations were conducted and analyzed to provide a comprehensive performance assessment of the proposed solutions, thereby informing the design and optimization of these mechanisms. the findings for encryption time and decryption time of these metrics reflect the durations needed to encode and decode data of varying sizes securely. the potential for the blockchain along with the fog computing model to ensure secure data access control in the future depends on further dev

关键词： Fog computing

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Exploring the Potential of Adaptive Multi-Agent Reinforcement Learning in Cloud computing Environments 15

Exploring the Potential of Adaptive Multi-Agent Reinforcemen...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Wadhwa, Charu Dheer, Meenakshi Deepak, J. Department of Management ARKA JAIN University Jharkhand Jamshedpur India Department of Agriculture Vivekananda Global University Jaipur India Karnataka Bangalore India

ISBN: (纸本)9798350370249

Reinforcement getting to know (RL) is a kind of machine getting to know approach that focuses on gaining knowledge of a policy that enables an agent to interact correctly in an environment if you want to maximize its reward. RL is being explored to be used in quite dynamic cloud computing environments because of its robust potential to provide regulations that could efficiently adapt to converting environments. the use of Adaptive Multi-Agent Reinforcement mastering (AMARL) in cloud computing environments is a promising method for reaching excessive ranges of device scalability, workload balancing, and fault tolerance. AMARL is an RL method that includes more than one marketer that could act independently to improve the general device performance. this method capitalizes on the strengths of the character agents, as well as the advantages of distributed architectures. Using AMARL in cloud computing environments remains an emerging region of studies;however it has the ability to revolutionize the way wherein cloud infrastructures are controlled. this paper presents an overview of AMARL and explores how it can be used to gain better levels of scalability, load balancing, and fault tolerance in cloud computing environments. Furthermore, a discussion of the challenges and research opportunities in this subject are supplied. ©2024 IEEE.

关键词： Cloud computing architecture

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Ant Colony Optimization for Service Composition in Multi-cloud Environments 15

Ant Colony Optimization for Service Composition in Multi-clo...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Maurya, Mahesh Vidhya, G. Akram, Faiz Saravanan, M. Venkata Ramana, K. Rajakumari, S. K.C. College of Engineering Department of Computer Engineering Mith Bunder road Thane East Maharashtra Kopri India Sona College of Technology Department of Computer Science and Engineering Tamilnadu Salem India Jimma Institute of Technology Jimma University Faculty of Computing and Informatics Department of Computer Science Oromia Region Jimma Ethiopia Sri Eshwar College of Engineering Department of Ece Tamilnadu Coimbatore India Qis College of Engineering and Technology Department of Cse Andrapradesh Ongole India R.M.D. Engineering College Department of Mathematics India

ISBN: (纸本)9798350370249

the Ant Colony Optimization (ACO) algorithm is a famous metaheuristic technique that has been successfully applied in various optimization issues. It mimics the foraging conduct of ants to locate the shortest path among meals assets and their colony. Recently, ACO has been increasingly more applied for provider composition in multi-cloud environments. this involves the composition of offerings from different cloud carriers to satisfy the service necessities of a person. By way of using ACO, services can be correctly selected and composed from a couple of carriers, considering elements including cost, excellent, and availability. ACO has proven promising outcomes in enhancing the overall performance and reliability of carrier composition in multi-cloud environments, making it a precious technique in todays tremendously distributed computing landscape. © 2024 IEEE.

关键词： distributed cloud

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Particle Swarm Optimization for Latency-aware Multi-user Task Offloading in Resource-constrained Fog-cloud Framework 15

Particle Swarm Optimization for Latency-aware Multi-user Tas...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Bandyopadhyay, Biswadip Kuila, Pratyay Govil, Mahesh Chandra National Institute of Technology Sikkim Department of Computer Science&Engineering Sikkim Ravangla737139 India

ISBN: (纸本)9798350370249

With the proliferation of 5G/B5G networks, there has been a tremendous strain on fog-cloud systems to allocate resources efficiently and reduce the total completion time of tasks. this paper aims to make an efficient off-loading decision to minimize overall latency and maximize the channel bandwidth utilization in a resource-constrained framework. An optimization problem is formulated and a novel Particle Swarm Optimization (PSO) technique is implemented considering the NP-hardness of the problem. Extensive simulation and comparison studies with other evolutionary algorithms have been performed to indicate better performance in fulfilling the objectives. © 2024 IEEE.

关键词： Delay Fog computing Particle Swarm Optimization Resource Task Offloading

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Real-Time Streaming in distributed and Cooperative Sensing Networks 15

Real-Time Streaming in Distributed and Cooperative Sensing N...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Menon, Soumya V Tirkey, Rashmi Singh, Vishvendra School of Sciences Department of Chemistry and Biochemistry Karnataka Bangalore India ARKA JAIN University Department of Pharmacy Jharkhand Jamshedpur India Vivekananda Global University Department of Agriculture Jaipur India

ISBN: (纸本)9798350370249

Actual-Time streaming in dispensed and cooperative sensing networks is a vital software program area for wireless networks because it allows transmitting, storing, and conveying significant volumes of real-Time information. this period provides an opportunity to expand its functions, including environmental monitoring and control, business Automation, and Surveillance. In a distributed and cooperative sensing network, the nodes for sensing are coupled to a not uncommon communication community, and its standard realtime stream enables data streaming to be implemented through the shadow of a sluggard river. Most of the time, messages across the switch at a this results in that any message can be sent to be processed repeatedly before moving out of date in a very short time. Various methods can be used in a distributed and cooperative sensing network to ensure successful actualtime streaming. these include the Pub/Sub communication pattern, which enables nodes to subscribe to events and be notified when new events occur. Mirroring is used to ensure that each node is always given the latest data. At last, digital signal processing methods are used to reduce latency and increase the accuracy of specific data. these techniques support the performance and scalability required for an extensive application to provide real-Time streaming in a distributed and cooperative sensing network. © 2024 IEEE.

关键词： Cooperative communication

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