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Multiple Early-Exits Strategy for distributed Deep Neural Network Inference 19

Multiple Early-Exits Strategy for Distributed Deep Neural Ne...

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19th Annual international conference on distributed computing in Smart Systems and the internet of things, DCOSS-IoT 2023

作者： Sbai, Marion Trigoni, Niki Markham, Andrew University of Oxford Department of Computer Science Oxford United Kingdom

ISBN: (纸本)9798350346497

Existing work on multi-camera network mainly focused on centralized systems, the role of the cameras being limited to capture images and send them to the cloud. However, this approach is impractical when the network connection is limited or variable. Our methodology distributes DNN inference across multiple edge clients and the cloud using early-exits and bottlenecks for time and accuracy requirements. In limited communication scenarios like LoRa, our solution improves average latency by 80 % compared to traditional cloud solutions. © 2023 IEEE.

关键词： Deep neural networks

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Sana Solo: An Intelligent Approach to Measure Soil Fertility 6th

Sana Solo: An Intelligent Approach to Measure Soil Fertility

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6th IFIP WG 5.5 international Cross-Domain conference on internet of things

作者： Rachakonda, Laavanya Stasiewicz, Samuel Univ North Carolina Wilmington Dept Comp Sci Wilmington NC 28403 USA

ISBN: (纸本)9783031458804;9783031458781;9783031458774

Worm castings (Worm Excretion) are one the richest natural fertilizers on earth, making earthworms a very important and applicable soil health indicator. According to an article published in the Polish journal of Environmental studies, the most important chemical components of worm castings are pH, total organic carbon (TOC), total nitrogen (N), plant available phosphorus (P), plant available potassium (K), and calcium water soluble (Ca). these chemical components of worm castings, paired with soil temperature, humidity and electric conductivity, are all measurable values that can indicate the overall health and fertility of soil. Furthermore, these physical-chemical properties can also be measured and analyzed to estimate worm populations in soil, making traditional manual extraction techniques obsolete. the proposed project, Sana Solo, is a device that uses machine learning to estimate worm populations based on the quantities of the physical-chemical properties listed above. Being able to estimate earthworm populations in a timely manner, without the use of extraction techniques, can be used in farms and gardens to evaluate soil fertility.

关键词： Worm Castings Soil Fertility Soil Health Smart Agriculture internet of things Edge computing

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Cloud computing Based Server Infrastructure Analysis for Payment Machinery Needs 6

Cloud Computing Based Server Infrastructure Analysis for Pay...

引用

6th international conference on Computer and Informatics Engineering, IC2IE 2023

作者： Kurniawan, Asep Oktivasari, Prihatin Fauzi, Nur Noviandri, Muhammad Iqbal, Muhammad Computer and Informatics Engineering Politeknik Negeri Jakarta Jakarta Indonesia

ISBN: (纸本)9798350345162

In the business process of a payment system using web applications, it requires a container as a place to run a program or what is commonly referred to as a server with services such as a web server, database server, and security system. this research aims to be able to provide cloud computing infrastructure for payment systems. With the aim of creating efficient, stable and secure server services. this research uses Google Cloud and Amazon Web Service as Load Balance providers for cloud computing, as well as using NginX for web server needs and cloudflare as a domain distribution and security system. the results of this study are information for designing a server based on cloud computing and can provide or prepare infrastructure needs for payment system needs, servers built with load balance are efficient and stable because they have a low failure value, and can accommodate up to 10,000 users with a user per connection ratio of 33.3 % and 100% can divert attacks sending internet Control Message Protocol packets that lead to the internet Protocol Server to the internet Protocol Content Delivery Network service provider cloudflare. © 2023 IEEE.

关键词： cloud computing load balance payment system security system web server

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6th international conference on Innovative computing and Communication, ICICC 2023

6th International Conference on Innovative Computing and Com...

引用

6th international conference on Innovative computing and Communication, ICICC 2023

ISBN: (纸本)9789819940707

the proceedings contain 128 papers. the special focus in this conference is on Innovative computing and Communication. the topics include: Wearable Sensor Based Cloud Data Analytics Using Federated Learning Integrated with Classification by Deep Learning Technique;comparison of Decision Tree and Random Forest for Default Risk Prediction;trusted Cloud Service Framework for Cloud computing Security;HITR-ECG: Human Identification and Classification Simulation System Using Multichannel ECG Signals: Biometric Systems Era;brain Disorder Classification Using Deep Belief Networks;Diabetic Retinopathy Detection Using Deep CNN Architecture and Medical Prescription;an Innovative Software Engineering Approach to Machine Learning for Increasing the Effectiveness of Health Systems;region of Interest and Feature-based Analysis to Detect Breast Cancer from a Mammogram Image;vehicular Ad Hoc Network: A Review;Securing the Networks Against DDoS Attacks Using Blockchain technology;the Proposed Deep Learning Combined with Knowledge Graphs for Fake News Detections on Social Networks;algorithm-Driven Predictive Analysis of Blue-Chip Stocks in the Murky Indian Environment;survey on Crime Analysis, Forecasting, and Prediction Using Machine Learning;soft computing and Data Mining Techniques for Dengue Detection: A Review;Extended HD-MAABE Scheme Supporting Delegation and Revocation for Cloud-based Organizational Data Sharing;detection of Open Metal Sites in Metal–Organic Frameworks Using Machine Learning;PCA-Based Feature Selection and Hybrid Classification Model for Speech Emotion Recognition;ANFIS and Kernel Extreme Learning Machine to the Assessment and Identification of Seismic b-value as Precursor;payroll Management Using Blockchain;centric Management of Resources in Modern distributed computing;enhancing Security of IoT Data Transmission in Social Network Applications.

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Preserving Performance and Reducing Energy Consumption: A Two-Phase Scheduling Approach in Cloud computing Environments 9

Preserving Performance and Reducing Energy Consumption: A Tw...

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Joint 9th international conference on Digital Arts, Media and technology with 7th ECTI Northern Section conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2024

作者： thanavanich, thanawut Kantawong, Krittika Yaibuates, Mayoon Duangtang, Pumipong Siri, Atikhom Sriwanna, Kittakorn Chiang Rai Rajabhat University Faculty of Digital Technology Department of Computer Engineering Chiang Rai Thailand University of Phayao School of Information and Communication Technology Department of Digital Business Phayao Thailand

ISBN: (纸本)9798350318241

Cloud computing has evolved significantly, transitioning from traditional on-demand architectures to decentralized, multi-provider models. this shift is pivotal for enhancing connectivity in the internet of things and data-intensive computing. While accessing shared online resources, effective task scheduling is crucial for optimal service performance. However, the challenge persists in balancing resource optimization with potential issues like energy wastage or service performance degradation. this study proposes a two-phase scheduling approach in distributed computing, addressing the balance between performance preservation and energy reduction. the method seamlessly integrates with existing algorithms, employing a prescheduling phase followed by a model to estimate processors, minimizing underutilization. Experimental results highlight its contribution to energy-efficient scheduling, emphasizing a nuanced balance between performance and energy consumption. the approach employs a mathematical model to determine suitable processors, providing versatile options for computational resource providers, aiming for energy-conscious and performance-oriented solutions. © 2024 IEEE.

关键词： Cloud computing

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Social IoT Security and Privacy 6

Social IoT Security and Privacy

引用

6th international conference on Advanced computing and Communication Technologies for High Performance Applications (ACCthPA)

作者： Maniveena Kalaiselvi Noorul Islam Ctr Higher Educ Dept Comp Sci & Engn Kanyakumari India RMK Coll Engn & Technol Dept Comp Sci & Engn Gummidipoondi India Anna Univ Chennai Tamil Nadu India

ISBN: (纸本)9798350398441

the internet of things (IoT) is a network of physically connected, online-connected, globally distributed things. Given that most smart gadgets are carried by people, we may take advantage of their owners' social connections to prevent interception by unauthorized users, which is consistent with the Social internet of things (SIoT) concept. SIoT combines social networks and IoT to enable communication between devices and people as well as information sharing. this convergence has enhanced both perspectives and given rise to new ecologies. Indeed, the inherent weaknesses of SIoT devices, combined with limited resources and heterogeneous technology, as well as the absence of particularly developed IoT protocols, provide ideal platform for the spread of specialised cyber attacks. the security of social IoT is a big concern since linked devices can lead to large amounts of personal data being gathered and retained by organizations. To ensure security, it is vital for firms to take mechanisms such as encryption, authentication, authorization, and access control to secure data and ensure privacy. Furthermore, businesses should adopt security rules and standards to ensure that data is handled securely. this can include routine software upgrades as well as the installation of firewalls and secure networks. this paper provides an overview of the privacy issues and requirements that SIoT currently confronts.

关键词： internet of things SIoT security challenges privacy cyber threats

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Lattice-based distributed Broadcast Encryption in Multi-user Communication Mechanism 24

Lattice-based Distributed Broadcast Encryption in Multi-user...

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5th international conference on Artificial Intelligence and Computer Engineering, ICAICE 2024

作者： He, Junfei Ye, Qing Yang, Zhichao Department of Information Security Naval University of Engineering Hubei Wuhan China

ISBN: (纸本)9798400718007

Nowadays, emerging technologies such as smart terminals, cloud computing, and the internet of things are developing rapidly. the"One-to-one" encrypted transmission method is difficult to meet the communication needs in complex network environments due to high computational costs. Broadcast encryption technology can provide data encryption protection during information sharing among multiple users. However, most of the existing schemes are based on bilinear groups, which cannot resist quantum computing attacks. And these schemes also suffer from the key escrow problem. For this reason, a novel distributed broadcast encryption scheme is proposed based on the Learning with Errors (LWE) difficulty assumption on the lattice. the scheme avoids key interaction negotiation among users by introducing a public key bulletin board. Meanwhile, the scheme solves the security problem caused by the authoritative user's complete mastery of the user's private key. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： data security

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Adaptation study of novel services and communication technologies for distributed smart grid communication networks 6

Adaptation study of novel services and communication technol...

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6th international conference on Wireless Communications and Smart Grid, ICWCSG 2024

作者： Zhu, Taotao Xiao, Zhenfeng Li, Yang Changsha University of Science and Technology Changsha410000 China State Grid Hunan Electric Power Company Limited Economic Technical Research Institute Changsha410000 China

ISBN: (纸本)9781510682962

In order to meet the individual communication performance requirements of distributed smart grid operation and operational services, it is crucial to select appropriate communication technologies to build a secure, reliable and economical network. this paper first analyses in detail the performance requirements of new communication business scenarios of distributed smart grid, and reviews the advantages and limitations of current mainstream communication technologies. then, a comprehensive weighting solution model of network attributes is constructed using subjective and objective evaluation methods. Finally, OPNET simulation software is used to simulate the communication performance of mainstream communication technologies around data throughput capacity, delay, delay jitter, packet loss rate, and the performance of different communication technologies is compared and summarised to provide suggestions on the optimal communication technologies for the new communication services of distributed smart grid. © 2024 SPIE.

关键词： Communication and information technologies Power grids Data communications Wireless communications Network security Optical communications Power consumption Reliability Automation Data transmission

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Systematic Literature Review on Bio Inspired Algorithms in Cloud Fog computing 6

Systematic Literature Review on Bio Inspired Algorithms in C...

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6th international conference on Recent Trends in Advance computing, ICRTAC 2023

作者： Medishetti, Santhosh Kumar Prasad, M Shiva Donthi, Rakesh Kumar Reddy Karri, Ganesh Pillareddy, Vamsheedhar Reddy Varma Songa, Asha VIT-AP University Scope A.P. Amaravathi India Geethanjali College of Engineering and Technology Hyderabad India University College of Dublin Dublin Ireland Sridevi Women's Engineering College T.S. Hyderabad India

ISBN: (纸本)9798350394702

With the dynamic nature of modern computing landscapes, cloud and fog computing systems have become integral in processing and delivering services. In response to the challenges posed by these dynamic and distributed systems, bio-inspired algorithms, such as GA, PSO and ACO have emerged as promising tools for optimizing resource allocation, load balancing, energy efficiency, and various other aspects of cloud-fog computing. this review provides a comprehensive overview of the existing research, analyzing the application, strengths, and limitations of bio-inspired algorithms in these environments. It categorizes and discusses their use across resource provisioning, task scheduling, fault tolerance, security, and energy management, shedding light on their adaptability and potential to enhance system performance. By pinpointing areas where further research is needed and providing foresight into upcoming directions, this review emerges as a valuable reference for researchers, practitioners, and decision-makers. It furnishes a fundamental comprehension of how bio-inspired algorithms contribute to enhancing the efficiency and performance of cloud-fog systems in our interconnected world. © 2023 IEEE.

关键词： Genetic algorithms

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Empowering IoT Security: Leveraging Deep Neural Networks Against Ransomware and DDoS Attacks 15

Empowering IoT Security: Leveraging Deep Neural Networks Aga...

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

作者： Geetha, K. Chaudhary, Dharmindar Shrivarshini, K. Amrita Vishwa Vidhyapeetham Amrita School of Computing Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350370249

Using internet of things (IoT) devices has become more efficient and convenient, but it has also increased the potential of security breaches, particularly from ransomware and distributed Denial of Service (DDoS) assaults. this study looks into the ever-changing threats posed by ransomware on the internet of things, emphasizing human-centered detection and mitigation techniques. It highlights attack methods like supply chain breaches and device exploitation that jeopardize privacy and service continuity. To enhance IoT security, a deep neural network-based approach is proposed for automated reaction and real-time monitoring. the superior precision and efficacy of the suggested approach in mitigating ransomware and DDoS assaults in contrast to existing techniques underscores the significance of robust security protocols and active stakeholder engagement. this paper's goal is to provide a thorough study of these dangers along with a novel solution that will improve security protocols in IoT ecosystems. this study seeks to close the gap between sophisticated technological protections and workable, user-oriented tactics by highlighting the need of human-centered approaches, guaranteeing that IoT devices continue to be dependable and safe in an increasingly interconnected world. this study emphasizes the vital need for an integrated strategy to IoT security that incorporates both cutting-edge technology and proactive human engagement through thorough evaluation and suggested solutions. © 2024 IEEE.

关键词： and IoT security automated reaction device exploitation distributed Denial of Service (DDoS) human-centric detection internet of things (IoT) mitigation techniques privacy violations ransomware service disruptions supply chain breaches

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