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international conference for High Performance computing, networking, Storage and Analysis, SC

International Conference for High Performance Computing, Net...

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2019 international conference for High Performance computing, networking, Storage and Analysis, SC 2019

ISBN: (纸本)9781450362290

The proceedings contain 89 papers. The topics discussed include: a data-centric approach to extreme-scale ab initio dissipative quantum transport simulations;fast, scalable and accurate finite-element based ab initio calculations using mixed precision computing: 46PFLOPS simulation of a metallic dislocation system;GrapHM: an efficient storage system for high throughput of concurrent graph processing;semantic query transformations for increased parallelization in distributed knowledge graph query processing;MIQS: metadata indexing and querying service for self-describing file formats;and scalable simulation of realistic volume fraction red blood cell flows through vascular networks.

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Enhancing Cloud Security with AI: Developing Robust, Scalable Solutions for Threat Mitigation and Data Protection in Cloud Platforms

Enhancing Cloud Security with AI: Developing Robust, Scalabl...

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Sustainable Communication Networks and Application (ICSCNA), international conference on

作者： AbuFaizur Rahman Abusalih Rahumath Ali K Saravanan B.Bala Abirami V.Samuthira Pandi Vijay Vasanth Aroulanandam S. Parthiban Enterprise Solution Architect Tekskills Inc. Princeton NJ USA Department of Information Technology R.M.K Engineering College Kavaraipettai Tamil Nadu India Department of Artificial Intelligence and Data Science Panimalar Engineering College Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India Networking and Communications Department School of Computing SRM Institute of Science & Technology Kattankulathur Tamil Nadu India Department of CSE SIMATS Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Thandalam Chennai

ISBN: (数字)9798331530013

ISBN: (纸本)9798331530020

As cloud computing continues to gain popularity, guaranteeing the security of cloud environments has become an issue of the utmost importance for businesses all over the world. With a particular emphasis on the development of solutions that are both robust and scalable for the purpose of threat mitigation and data protection, this study investigates the application of artificial intelligence (AI) in the process of improving cloud security. Security frameworks that are driven by artificial intelligence are able to proactively discover, evaluate, and respond to new threats in real time. This is accomplished by employing machine learning algorithms and advanced analytics. With the purpose of demonstrating the efficacy of various artificial intelligence approaches in tackling common vulnerabilities such as data breaches, unauthorized access, and distributed denial of service attacks, we investigate a variety of AI methodologies, such as anomaly detection, behavior analysis, and automated incident response. In addition, we analyze the significance of a multilayered security approach, which involves integrating artificial intelligence tools with conventional security measures in order to develop an all-encompassing defense plan. The purpose of this article is to present case studies that illustrate successful implementations of artificial intelligence-enhanced security solutions on cloud platforms. These case studies demonstrate the influence that these solutions have on increasing security posture and operational efficiency. Ultimately, the findings of this study highlight the significant role that artificial intelligence plays in the transformation of cloud security practices. This paves the way for cloud infrastructures that are more robust and secure in the face of changing cyber threats.

关键词： Cloud computing security Prevention and mitigation Data protection Data breach Real-time systems Vectors Security Artificial intelligence Faces Anomaly detection

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Smart watering system based on framework of low-bandwidth distributed applications (LBDA) in cloud computing 12th

Smart watering system based on framework of low-bandwidth di...

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12th international conference on Intelligent networking and Collaborative Systems, INCoS 2020

作者： Sirimorok, Nurdiansyah As, Mansur Yoshida, Kaori Köppen, Mario Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology Kitakyushu Japan Department of Life Science and Systems Engineering Kyushu Institute of Technology Kitakyushu Japan Department of Creative Informatics Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9783030577957

The estimation of soil moisture content is required for agriculture, mainly to build the irrigation scheduling model. In this study, we present a smart watering system to deal with various factors derived from the stochastic information in the agricultural operational, i.e., air temperature, air humidity, soil moisture, soil temperature, and light intensity. The methodology consists of exploiting the Internet of Things (IoT) using Low-Bandwidth distributed Applications (LBDA) in cloud computing to integrate the real data sets collected by the several sensor technologies. We conducted experiments for the watering system used two types of soil and different plant. Here, the Long Short Term Memory Networks (LSTMs) approach in deep learning techniques used to build smart decisions concerning watering requirements and deal with heterogeneous information coming from agricultural environments. Results show that our models can effectively improve the prediction accuracy for the watering system over various soil and plants. © Springer Nature Switzerland AG 2021.

关键词： Cloud computing

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E-Voting System Using Blockchain Technology

E-Voting System Using Blockchain Technology

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Advances in computing, Communication Control and networking (ICAC3N), international conference on

作者： Nagesh H R Guru Prasad M S Shivaraj B G Dhawal Jain Puneeth B R M Anadkumar Dept. of Computer Science & Engg. Sahyadri College of Engg. & Management Mangaluru India Dept. of Computer Science & Engg. Graphic Era (Deemed to be University) Dehradun India Dept. of Computer Science & Engg. Mangalore Institute of Technology & Engg. Moodabidri India Dept. of Computer Science & Engg. SDM Institute of Technology Ujire India Department of MCA Nitte NMAM Institute of Technology (NMAMIT) Nitte (Deemed to be University) Karnataka India Dept. of Computer Applications Graphic Era (Deemed to be University) Dehradun India

In every nation, democratic elections are a momentous and weighty occurrence, and the voting system that is now in place requires the use of ballots or electronic voting machines (EVM). Transparency, poor turnout, vote manipulation, distrust of electoral organizations, fabrication of unique IDs (voting party IDs), and delays in posting results are some of the issues that arise as a result of these procedures. The matter of safety is of the utmost importance. When considering the installation of a computerized voting system, voter confidentiality has always been one of the most important concerns. There is no question regarding the system's capability to secure itself in contrast to prospective assaults and safeguard data in the face of such big choices. Utilization of blockchain technology is one approach that might be taken to resolve security concerns. The blockchain technology has an endless number of different uses that might be implemented. The technology known as blockchain is a distributed ledger that makes it possible for peer-to-peer networks all over the world to handle digital assets. In this context, distributed ledger technology represents an intriguing development. A grouping of all transactions is referred to as a block. Immutability, decentralisation, security, transparency, and anonymity are some of the outstanding properties offered by blockchain technology. The combination of blockchain technology with smart contracts has shown promise as a viable option for the development of trustworthy and open-source electronic voting systems. In this article, we demonstrate how to use blockchain technology with the help of a wallet and the Solidity programming language to build an electronic voting application. The programme was designed as a smart contract for the Ethereum network. In order to avoid having the same person vote twice, the user's wallet will only hold a certain number of tokens (gas), which will be depleted each time the user casts a vote. Thi

关键词： Fabrication distributed ledger Smart contracts Organizations Blockchains Safety Peer-to-peer computing

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Heterogeneous Ground-Air Autonomous Vehicle networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge

Heterogeneous Ground-Air Autonomous Vehicle Networking in Au...

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international conference on distributed computing in Sensor Systems (DCOSS)

作者： Harel Biggie Steve McGuire Department of Computer Science University of Colorado Boulder Boulder USA

ISBN: (数字)9781665495127

ISBN: (纸本)9781665495134

Implementing a wireless mesh network in a real-life scenario requires a significant systems engineering effort to turn a network concept into a complete system. This paper presents an evaluation of a fielded system within the DARPA Subterranean (SubT) Challenge Final Event that contributed to a 3rd place finish. Our system included a team of air and ground robots, deployable mesh extender nodes, and a human operator base station. This paper presents a real-world evaluation of a stack optimized for air and ground robotic exploration in a RF-limited environment under practical system design limitations. Our highly customizable solution utilizes a minimum of non-free components with form factor options suited for UAV operations and provides insight into network operations at all levels. We present performance metrics based on our performance in the Final Event of the DARPA Subterranean Challenge, demonstrating the practical successes and limitations of our approach, as well as a set of lessons learned and suggestions for future improvements.

关键词： Measurement Mesh networks Base stations Robot sensing systems Sensor systems distributed computing System analysis and design

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Encoding Following Information with Graph Attention Network for Opinion Prediction

Encoding Following Information with Graph Attention Network ...

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IEEE international Symposium on Parallel and distributed Processing with Applications and IEEE international conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Jiajian Jiang Xiaoliang Chen Yuntian Zhang Zexia Huang Xianyong Li Yajun Du School of Computer and Software Engineering Xihua University Chengdu P. R. China

Opinion prediction is an important and challenging task. Previous work often only predicts opinions based on users’ content, ignoring the influence of neighbors’ opinions on users in social networks. In this paper, we utlize Graph Attention Networks to capture neighbor information for opinion prediction. Firstly, we divide users in the online social media platform into general users and online influencers by the number of their fans. Then we built the implicit link between general users by their following list, and construct the implicit network for opinion prediction. Experimental results show that the proposed model is more accurate in opinion prediction compared to many competitive baselines.

关键词： Fans Social networking (online) Computational modeling Neural networks Predictive models Ubiquitous computing Encoding

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Learning to Process Topic Aware Queries on Geo-Textual Streaming Data

Learning to Process Topic Aware Queries on Geo-Textual Strea...

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IEEE international conference on Big Data and Cloud computing (BdCloud)

作者： Mayur Patil Department of Computer Science and Engineering University of California Riverside Center for Geospatial Sciences University of California Riverside

In the past few years, location-aware systems have become an integral and important part of modern applications, including social media applications that have seen an unprecedented rise in popularity. Fast-paced, highly dynamic streams of geo-textual data are generated from such applications consisting of millions of users who demand fast query processing and performance. During a search in location-based systems, topic-aware search allows retrieving relevant data based on a specified ‘topic’ of interest. This paper presents efficient and scalable techniques to process topic-aware spatial keyword search on streaming data. Modern applications require quick system responses for topic-aware queries with spatial and keyword filters. Processing such large amounts of geo-tagged stream data is time-consuming and inefficient with current methods for topic-based search. To solve this problem, we build techniques for indexing and processing by introducing an index called Topic Aware Grid (TAG). TAG integrates spatial and topic information using a variation of the Grid index where cells of the index are attached to local topic models. We perform extensive experiments on real datasets with real and synthetic query workloads that verify the increased performance of our work over alternate techniques for geo-textual streams.

关键词： Social networking (online) Query processing Keyword search Information filters Indexing

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Proceedings of PHOTONICS 2019: Photonics-Optics Technology Oriented networking, Information, and computing Systems - Held in conjunction with SC 2019: The international conference for High Performance computing, networking, Storage and Analysis

Proceedings of PHOTONICS 2019: Photonics-Optics Technology O...

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2019 IEEE/ACM Workshop on Photonics-Optics Technology Oriented networking, Information, and computing Systems, PHOTONICS 2019

ISBN: (纸本)9781728159812

The proceedings contain 6 papers. The topics discussed include: an approximate thermal-aware Q-routing for optical NoCs;on the feasibility of hybrid electrical/optical switch architecture for large-scale training of distributed deep learning;past, current and future technologies for optical submarine cables;simulations of photonic quantum networks for performance analysis and experiment design;an optical neural network architecture based on highly parallelized WDM-multiplier-accumulator;and scalable low-power high-performance rack-scale optical network.

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An Optimized Scheduling Algorithm for the Multi-channel Hyperledger Fabric

An Optimized Scheduling Algorithm for the Multi-channel Hype...

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IEEE international conference on Big Data and Cloud computing (BdCloud)

作者： Ou Wu Shanshan Li He Zhang Liwen Liu Yanze Wang Haoming Li State Key Laboratory of Novel Software Technology Nanjing University China Software Institute Nanjing University China

Hyperledger Fabric (Fabric for short), a typical consortium blockchain platform, has released many versions that support different consensus protocols to ensure that the system can withstand faults (such as crashes, network partitions, or network shutdowns). However, if there is a malicious node in the system, Fabric cannot guarantee any behavior of the malicious node. Therefore, when a certain number of nodes are attacked simultaneously, it directly affects the security and efficiency of the entire system. In the face of multi-channel Fabric network architecture, the parallel processing of transactions by node groups linked on different channels significantly improves the throughput of the Fabric network. However, it may also cause system congestion and safety problems. To solve this problem, this paper designs a Lyapunov-based scheduling algorithm for the performance optimization of Fabric. When considering the system's security probability and queue accumulation, we give the maximum consensus verification rate under the minimum security probability guarantee. Finally, we installed the latest stable version v2.0 of Fabric on the cloud server to verify the algorithm's effectiveness.

关键词： Scheduling algorithms distributed ledger Network architecture Throughput Fabrics Scheduling Peer-to-peer computing

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A Practical and Privacy-Preserving Vehicular Data Sharing Framework by Using Blockchain

A Practical and Privacy-Preserving Vehicular Data Sharing Fr...

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Xu Yang Ao Wang Qiuhao Wang Saiyu Qi Yong Qi School of Computer Science and Technology Xi’an Jiaotong University Xi’an China

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

As the integration of the Internet of Vehicles and social networks, vehicular social networks (VSNs) are promising to boost the realization of intelligent transportation system. Recently, vehicular data privacy has been paid increasing attention in data sharing. Searchable encryption as a promising cryptographic primitive can be utilized to ensure vehicular data confidentiality without sacrificing data searchability. However, most vehicular data sharing schemes rely on centralized cloud servers, which are vulnerable to the single point of failure and distributed denial of service (DDoS) attacks. In this paper, we propose VehShare, a decentralized framework for privacy-preserving vehicular data sharing. We resort to the smart contract to implement a trusted platform for vehicles to share their encrypted vehicular data. To provide efficient access control, we design an authorization-based on-chain access control scheme with a lightweight cryptographic primitive. Moreover, we design a time synchronization-based non-interactive search token generation scheme to achieve efficient privacy-preserving search queries, while satisfying forward and backward security. We formally analyze the security of VehShare and extensive experiments demonstrate the efficiency of VehShare.

关键词： Data privacy Social networking (online) Smart contracts Denial-of-service attack Blockchains Encryption Servers

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