scholarly journals Cloud Computing Data Group Distribution as Well as Restricted Distribution with Multi Owner

2020 ◽  
Vol 9 (3) ◽  
pp. 3443-3450
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Control Instrument ◽  
Restricted Distribution ◽  
Secure Information ◽  
Group Distribution ◽  
Data Group

withtthetquick headway oftcloudtorganizations, monstroustvolumetof information istsharedtthrough distributed computing.tBut cryptographictstrategies havetbeentutilizedtto give information mysterytintdistributedtcomputing,tcurrent instruments can't approve assurance stresses over ciphertext related with numerous proprietors,twhichtmakestco proprietors unfitttotreasonablytcontroltwhethertinformation disseminators canttruly dispersettheirtinformation.tIntthistpaper,wetproposeta sheltered information bunch sharing and prohibitive dispersal plottwithtmultiproprietortintdistributedtcomputing,tin which information proprietortcantgranttprivate information tota gatheringtoftcustomers by methods for thetcloudtinta protectedtway,tandtinformationtdisseminatortcan spreadtthe information totanothergathering oftcustomers iftthe characteristicstsatisfytthe passageway approaches in thetciphertext.tWetfurthertpresenttatmultipartytget the chance to control instrument over thetdispersedtciphertext,tintwhichtthe informationtcoproprietorstcan attach newtaccesstways tot deal withtthetciphertexttduettottheir security tendencies. Moreover, approach’s, proprietor need andtlion'stoffer permit, realizedtbytdifferent access methodologies. The security examinationtandttest outcomes showtour arrangements helpfultandtpowerful fort secure information offering totmultitproprietortin distributed computing.

scholarly journals Data Deduplication Strategies in Cloud Computing

2020 ◽  
Vol 5 (8) ◽  
pp. 734-738
Author(s):  
MD. Jareena Begum ◽  
B. Haritha
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Distributed Storage ◽  
The Internet ◽  
Data Deduplication ◽  
Secure Information ◽  
Pervasive Access

Cloud computing assumes an essential job in the business stage as figuring assets are conveyed on request to clients over the Internet. Distributed computing gives on-request and pervasive access to a concentrated pool of configurable assets, for example, systems, applications, and administrations This guarantees the vast majority of undertakings and number of clients externalize their information into the cloud worker. As of late, secure deduplication strategies have bid extensive interests in the both scholastic and mechanical associations. The primary preferred position of utilizing distributed storage from the clients' perspective is that they can diminish their consumption in buying and keeping up capacity framework. By the creating data size of appropriated registering, a decline in data volumes could help providers reducing the costs of running gigantic accumulating system and saving power usage. So information deduplication strategies have been proposed to improve capacity effectiveness in cloud stockpiles. Also, thinking about the assurance of delicate documents. Before putting away the records into the cloude stockpile they frequently utilize some encryption calculations to ensure them.In this paper we propose stratagies for secure information deduplication

scholarly journals AN Effective PHR Based Secure Data Distribution using KC-ABE in Cloud Environment

2019 ◽  
Vol 9 (1) ◽  
pp. 6477-6481
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Information Sharing ◽  
Research Work ◽  
Data Distribution ◽  
Cloud Environment ◽  
Cipher Text ◽  
Secure Information ◽  
Secure Data ◽  
Secure Information Sharing

The objective of the research work is focused on cloud computing which is a developing design to give secure change among continuous applications. Secure information sharing is characterized as transmission of at least one documents profitably this procedure is utilized to share data's, characteristics, records among different clients and associations in secure mode and verifies from outsider clients. Usually it is finished by encryption and unscrambling process over private system. This kind of information sharing is finished by new innovation of key cipher text KC-ABE. It can give secure record transmission by having confined access innovation. This developing procedure has been checked in tolerant individual wellbeing record upkeep. These documents are recorded and recovered safely without access by unapproved clients. KC-ABE encryption framework is material to produce for adaptable and secure sharing of information's in distributed computing, which will reinforcement persistent wellbeing creating records in increasingly defensive manner. In KC-ABE strategy, the subtleties of patient are put away in KC-ABE server farm. In KC-ABE, Key backer just legitimize the entrance control and can't issue by the encryption. Along these lines the relating tolerant just reserve the options to get to this KC-ABE innovation. It gives more secure information sharing than other encryption framework. The fundamental utilization of this technique are High key age time and encryption time. It can accomplish less encryption time and key age time to improve productivity of KC-ABE.

scholarly journals Fog Computing in the context of Smart Home, voice assistant and the future of IoT

2020 ◽  
Vol 21 (1) ◽  
pp. 6-12
Author(s):  
Javier Pinzón Castellanos ◽  
Miguel Antonio Cadena Carter
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Transmission ◽  
Smart Home ◽  
Fog Computing ◽  
Relevant Information ◽  
Raspberry Pi ◽  
Thermal Sensors ◽  
Computing Architecture ◽  
The Future

Fog Computing is the distributed computing layer that lies between the user and the cloud. A successful fog architecture reduces delay or latency and increases efficiency. This paper describes the development and implementation of a distributed computing architecture applied to an automation environment that uses Fog Computing as an intermediary with the cloud computing layer. This study used a Raspberry Pi V3 board connected to end control elements such as servomotors and relays, indicators and thermal sensors. All is controlled by an automation framework that receives orders from Siri and executes them through predetermined instructions. The cloud connection benefits from a reduced amount of data transmission, because it only receives relevant information for analysis.

scholarly journals A swift unrest horde system for curtail SDO hit in cloud computing

2018 ◽  
Vol 7 (1.7) ◽  
pp. 156
Author(s):  
S Ravikumar ◽  
E Kannan
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Water Drop ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Motion System ◽  
Novel Approach

One of the immense risk to benefit accessibility in distributed computing is Distributed Denial of Service. Here a novel approach has been proposed to limit SDO [Strewn Defiance of Overhaul] assaults. This has been wanted to accomplish by a canny quick motion horde organize. An astute horde arrange is required to guarantee independent coordination and portion of horde hubs to play out its handing-off tasks. Clever Water Drop calculation has been adjusted for appropriated and parallel advancement. The quick motion system was utilized to keep up availability between horde hubs, customers, and servers. We have intended to reproduce this as programming comprising of different customer hubs and horde hubs

scholarly journals New Algorithms for Secure Outsourcing of Large-Scale Systems of Linear Equations

2020 ◽  
Vol 9 (5) ◽  
pp. 545-550
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Storage ◽  
Large Scale ◽  
Homomorphic Encryption ◽  
Linear Equations ◽  
Force Transmission ◽  
Large Scale Systems ◽  
Secure Outsourcing ◽  
Systems Of Linear Equations

Cloud computing is the on-request accessibility of computer system resources, specially data storage and computing power, without direct dynamic management by the client. In the simplest terms, cloud computing means storing and accessing data and programs over the Internet instead of your computer’s hard drive. Along the improvement of cloud computing, more and more applications are migrated into the cloud. A significant element of distributed computing is pay-more only as costs arise. Distributed computing gives strong computational capacity to the general public at diminished cost that empowers clients with least computational assets to redistribute their huge calculation outstanding burdens to the cloud, and monetarily appreciate the monstrous computational force, transmission capacity, stockpiling, and even reasonable programming that can be partaken in a compensation for each utilization way Tremendous bit of leeway is the essential objective that forestalls the wide scope of registering model for clients when their secret information are expended during the figuring procedure. Critical thinking is a system to arrive at the pragmatic objective of specific instruments that tackles the issues as well as shield from pernicious practices.. In this paper, we examine secure outsourcing for large-scale systems of linear equations, which are the most popular problems in various engineering disciplines. Linear programming is an operation research technique formulates private data by the customer for LP problem as a set of matrices and vectors, to develop a set of efficient privacypreserving problem transformation techniques, which allow customers to transform original LP problem into some arbitrary one while protecting sensitive input/output information. Identify that LP problem solving in Cloud component is efficient extra cost on cloud server. In this paper we are utilizing Homomorphic encryption system to increase the performance and time efficiency

The Application of Distributed Computing Based on Cloud Computing in Statistical Work

2013 ◽  
Vol 694-697 ◽  
pp. 2374-2377
Author(s):  
Wei Li
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Quality ◽  
Social Economy ◽  
Implementation Process ◽  
Development Prospect ◽  
Effective Development ◽  
Statistical Work

With the rapid and effective development of social economy, all departments make an increasingly greater demand on statistical work. However, for a variety of reasons, all circles have been questioning the data quality of statistics departments. Specific to deficiencies of statistical work, this paper presents the basic thinking via which the distributed computing is applied to implementing statistical work under cloud computing. Besides, it compares the differences between ordinary cloud computing and distributed computing in the implementation process. Eventually, it mentions the development prospect of the application of distributed computing in statistical work under cloud computing.

Security in Ad Hoc Network and Computing Paradigms

2019 ◽  
pp. 592-620
Author(s):  
Poonam Saini ◽  
Awadhesh Kumar Singh
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Ad Hoc Networks ◽  
Resource Sharing ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Dominant Role ◽  
Portable Computing ◽  
Secure Protocols ◽  
Hoc Networks

Resource sharing is the most attractive feature of distributed computing. Information is also a kind of resource. The portable computing devices and wireless networks are playing a dominant role in enhancing the information sharing and thus in the advent of many new variants of distributed computing viz. ubiquitous, grid, cloud, pervasive and mobile. However, the open and distributed nature of Mobile Ad Hoc Networks (MANETs), Vehicular Ad Hoc Networks (VANETs) and cloud computing systems, pose a threat to information that may be coupled from one user (or program) to another. The chapter illustrates the general characteristics of ad hoc networks and computing models that make obligatory to design secure protocols in such environments. Further, we present a generic classification of various threats and attacks. In the end, we describe the security in MANETs, VANETs and cloud computing. The chapter concludes with a description of tools that are popularly used to analyze and access the performance of various security protocols.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

A Complementary Approach to Grid and Cloud Distributed Computing Paradigms

2012 ◽  
pp. 1929-1942
Author(s):  
Mehdi Sheikhalishahi ◽  
Manoj Devare ◽  
Lucio Grandinetti ◽  
Maria Carmen Incutti
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Grid Architecture ◽  
Computing Model ◽  
Complementary Approach ◽  
The Future ◽  
Original Grid ◽  
Computing Models

Cloud computing is a new kind of computing model and technology introduced by industry leaders in recent years. Nowadays, it is the center of attention because of various excellent promises. However, it brings some challenges and arguments among computing leaders about the future of computing models and infrastructure. For example, whether it is going to be in place of other technologies in computing like grid or not, is an interesting question. In this chapter, we address this issue by considering the original grid architecture. We show how cloud can be put in the grid architecture to complement it. As a result, we face some shadow challenges to be addressed.

Novel Taxonomy to Select Fog Products and Challenges Faced in Fog Environments

2021 ◽  
pp. 2558-2571
Author(s):  
Akashdeep Bhardwaj
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
High Speed ◽  
Low Cost ◽  
Fog Computing ◽  
Research Work ◽  
Cloud Services ◽  
Smart Devices ◽  
Viable Solution ◽  
Last Mile

This article describes how the rise of fog computing to improve cloud computing performance and the acceptance of smart devices is slowly but surely changing our future and shaping the computing environment around us. IoT integrated with advances in low cost computing, storage and power, along with high speed networks and big data, supports distributed computing. However, much like cloud computing, which are under constant security attacks and issues, distributed computing also faces similar challenges and security threats. This can be mitigated to a great extent using fog computing, which extends the limits of Cloud services to the last mile edge near to the nodes and networks, thereby increasing the performance and security levels. Fog computing also helps increase the reach and comes across as a viable solution for distributed computing. This article presents a review of the academic literature research work on the Fog Computing. The authors discuss the challenges in Fog environment and propose a new taxonomy.

Sign in / Sign up

Export Citation Format

Share Document