Cloud Communication Research Articles

Automation Petrol Bunk Management using Postpaid Cards

This paper shows the improvisation of manually operated petrol bunks, as of this process the automated petrol bunks using cloud communications and Arduino along with RFID reader is proposed. Every step is made user friendly,where computerized RFID reader is installed at the bunk and postpaid cards are issued to every person along with vehicle registration certificate.It is that when the user approaches the petrol bunk and swipes the card at the RFID reader, it shows therespective user details. Then, after verifying the details and password is entered just to verify the user and then the required amount of fuel is entered,then the relay sensor gets activated and fuel gets released. When the quantity assigned is filled the filling gets stopped automatically, after this process the message of transaction details is automatically sent to registered mobile number of theuser.

Modelling LSUTE: PKE Schemes for Safeguarding Electronic Healthcare Records Over Cloud Communication Environment

Presently offering safety to the information stored in a cloud environment is a crucial and demanding process. For fulfilling various confidentiality safeguarding and encoding schemes several schemes are modelled but they comprise setbacks such as increased cost, increased time and poor safety levels. For addressing the setbacks the goal is to model a fresh scheme termed as layer screened unsigned tree based encoding (LSUTE) and position based keyword enquiry for offering confidentiality to the information stored into the cloud environment. Here the confidentiality is offered to the healthcare-related information uploaded into the electronic healthcare comprising two components for safeguarding the information storage and position based keyword exploration. Initially, the healthcare documents from the physician and lab technicians are stored in an encoded manner employing the modelled LSUTE scheme where only the trusted and verified individual can make use of the healthcare reports. Followed by which the position based exploration is performed based on the keyword and queries. A method based on decision trees is proposed to selectively decide whether to test all inter modes. The key merit is offering improved confidentiality to the healthcare information in a safe manner. The outcomes of the analyses reveal that the performance of the modelled schemes in terms of assessment cost, transmission cost, assessing queries, time of encoding, time of decoding and query reply time with negligible impact on coding efficiency. Therefore, algorithm to reduce the encoder run time with limited effects on the standard coding efficiency is implemented.

A Demand Response Implementation in Tertiary Buildings Through Model Predictive Control

In this article, a cloud-based architecture developed for the control of dispatchable resources of active users is proposed. This architecture assumes the availability of renewables, dispatchable loads, and storage resources in a demand response framework. The integration of a metering infrastructure with the cloud is a relevant aspect. The proposed methodology is based on model predictive control (MPC) and is solved by mixed-integer linear programming to take into account nonlinearities and discontinuities introduced by cost functions and storage systems. The control strategy was actually implemented on a pilot installation in a public school, requiring retrofit interventions, with particular regard to energy monitoring and cloud communication. An experimental gateway prototype was installed allowing communication between field and cloud control tiers. Experimental results are conducted to assess economic gains deriving by employing MPC when compared to rule-based ordinary controllers. Computational timings and communication latencies confirm the feasibility of the approach.

An Examination on Cloud Computing Future, Privacy of Data and Possibilities

Cloud computing is the theoretical basis for future computing. All the global frameworks are now looking up to architecture which is purely based on cloud. Being the core of such a large web of network, it is important to consider the security aspects in a cloud based computing environment. This has resulted in a new research trend on the security issues of cloud. Cloud is a popular paradigm with extreme abilities and benefits for trending ICT environment. On the other end the major concern came in terms of security and privacy while adopting the cloud technology. This article is an effort to cover the challenges in fields like storage, virtualization and communication in cloud .Also it is a try to elaborate relevance of current cryptographic approach in order to increase security of cloud in ICT.

EHealth: The Mainstay of Healthcare Delivery in the 21st Century

The demand and cost of healthcare are on the rise, but it is still important to optimize the care of all patients, while containing the cost of healthcare. There is an increasing need to develop systems that deliver good-quality health care and are cost-effective, especially in developing countries. Due to technological advancements, new healthcare delivery models are being developed to improve healthcare accessibility, especially to distant areas and for emergencies. One of these models of healthcare delivery is eHealth. There is a wide variability in the scope and focus of eHealth. eHealth is an umbrella term that includes telemedicine, mHealth, telecare, ePublic health, eMental health or telehealth. Artificial satellites, internet, mobile communication and cloud communication are some of the several ways that have been identified to be used for providing eHealth services, all with their benefits and applications. The use of eHealth in the delivery of healthcare has a wide range of identified benefits for the service users (clients and patients) and service providers (health professionals). Various barriers to healthcare delivery are set to be broken by the optimal utilization of eHealth. In spite of all these benefits, eHealth is not without its potential risks and challenges. To improve the viability of eHealth in the market and increase its use globally, authors therefore recommend that the risks have to be minimized and barriers lifted.

Health monitoring and prognosis of electric vehicle motor using intelligent‐digital twin

Electric mobility has become an essential part of the future of transportation. Detection, diagnosis and prognosis of fault in electric drives are improving the reliability, of electric vehicles (EV). Permanent magnet synchronous motor (PMSM) drives are used in a large variety of applications due to their dynamic performances, higher power density and higher efficiency. In this study, health monitoring and prognosis of PMSM is developed by creating intelligent digital twin (i-DT) in MATLAB/Simulink. An artificial neural network (ANN) and fuzzy logic are used for mapping inputs distance, time of travel of EV and outputs casing temperature, winding temperature, time to refill the bearing lubricant, percentage deterioration of magnetic flux to compute remaining useful life (RUL) of permanent magnet (PM). Health monitoring and prognosis of EV motor using i-DT is developed with two approaches. Firstly, in-house health monitoring and prognosis is developed to monitor the performance of the motor in-house. Secondly, Remote Health Monitoring and Prognosis Centre (RHMPC) is developed to monitor the performance of the motor remotely using cloud communication by the service provider of the EV. The simulation results prove that the RUL of PM and time to refill the bearing lubricant obtained by i-DT twins theoretical results.

Energy-efficient optimal task offloading in cloud networked multi-robot systems

Task offloading plays a critical role in cloud networked multi-robot systems for leveraging computation support from cloud infrastructure and benefiting greatly from the well-developed cloud network facilities. However, considering the delay constraint, the extra costs of data transmission and remote computation, it is not trivial to make optimized offloading decisions. In particular, task offloading for robots is more complex due to their on-demand mobility and network connectivity that significantly influence the robot–cloud communication links. Moreover, for multi-robot systems, a suitable balance of workload between local network (robot–robot) and global cloud (robot–cloud) is also required, so as to attain proper utilization of resources. Therefore, it is essential to establish more comprehensive offloading schemes for modeling systems that can handle these higher level of complications. With that view, this paper aims to develop a novel multi-layer decision-making scheme for task offloading which jointly considers the following four aspects: (i) selection of task for offloading, (ii) selection of robot to offload a task, (iii) selection of location to offload/perform task, (iv) selection of access point for offloaded task. An integrated framework for cloud networked multi-robot systems is presented to enable our task offloading scheme where the primary robot can aid from additional local robots to improve the offloading process. In particular, we consider a warehouse scenario with 36 cell workspace where a 40 node taskflow is motivated from a “parcel sorting and distribution” application, to be completed by the primary robot. The offloading decision for each task is formulated as part of a joint optimization problem and it is solved by developing a multi-layer genetic algorithm scheme that takes into account motion, network connectivity and local sharing for its offloading decisions. We evaluate the results of the scheme via comparison with two validated benchmarks. The outcome highlights a significant improvement in overall system performance due to joint involvement of motion (path planning), connectivity (bandwidth estimation) and robot–robot communication (local offloading) that facilitates energy-efficient offloading to cloud, faster completion of tasks and better utilization of available resources.

Social Appliances for Sustainable Smart Homes

We discuss a Cloud-based Collective Intelligence model and its in-progress implementation to direct users toward an optimal usage of their home appliances as a way of getting both personal advantage and an overall reduction of pollution and energy consumption. In this model sustainability is considered with respect to two types of resources: natural ones, to be mostly preserved, as indicated above, and brain resources, in terms of intention and knowledge, to be convoyed to a common target. Having the first aspect for a given, in this paper we focus on the secondby examining three distinct factors: user experience, knowledge achievement and business model. Our service paradigm is rooted on a Social Networks of Facts that requires experts’ know, like that owned by the appliance manufacturer, but exploits it in an autonomous way so as to comply with the specific intentions of the individual users. While cloud architectural and communication aspects are solved in a standard, though advanced, way, the interplay between user and expertsisconsidered variously within a range of business models. As the success of these models is related to the network population, here we discuss some preliminary simulations based on an effectively implemented infrastructure and on the extrapolation of early collected data.

An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications

Nowadays, the number of mobile users has considerably increased in recent years. The users can utilize several cloud computing services through their mobile devices during their mobility. However, providing secure access to these services is difficult due to the open nature of the wireless communication medium. In this paper, we proposed an efficient anonymous mutual authentication technique for mobile cloud computing in smart city applications. In this technique, both the mobile user (Ui) and the service provider (Sj) are required to prove their legitimacy to each other, and hence the legitimate Ui can utilize all the cloud computing services in an efficient and secure way. The security analysis part shows the security strength of the proposed anonymous mutual authentication technique against various security attacks and the performance analysis part shows that the proposed method is efficient in terms of computational overhead in comparison with the existing schemes.

A multi-agent system approach based on cryptographic algorithm for securing communications and protecting stored data in the cloud-computing environment

The cloud computing has been envisioned as the next generation architecture of information technology enterprise. The Internet is indispensable in present days to provide and maintain the data. Such applications can be used by the end-user via the cloud communications without any configuration. Moreover, the user's data files can be accessed from any other computer using the Internet services. The security goal is to save data from threat and vulnerability which is handled by various approaches. The data should be encrypted prior to be transmitted and stored. We aim to propose a solution such that we will encrypt the whole data along with the cryptographic key. This contribution provides a new architecture that combines, obfuscation technique, hybrid encryption algorithms and the homomorphic encryption approaches. The proposed security architecture based on multi-agent system for cloud computing communications and storage environment that takes into account the most known security gaps.

A multi-agent system approach based on cryptographic algorithm for securing communications and protecting stored data in the cloud-computing environment

The cloud computing has been envisioned as the next generation architecture of information technology enterprise. The Internet is indispensable in present days to provide and maintain the data. Such applications can be used by the end-user via the cloud communications without any configuration. Moreover, the user's data files can be accessed from any other computer using the Internet services. The security goal is to save data from threat and vulnerability which is handled by various approaches. The data should be encrypted prior to be transmitted and stored. We aim to propose a solution such that we will encrypt the whole data along with the cryptographic key. This contribution provides a new architecture that combines, obfuscation technique, hybrid encryption algorithms and the homomorphic encryption approaches. The proposed security architecture based on multi-agent system for cloud computing communications and storage environment that takes into account the most known security gaps.

ALGORITHM FOR THE IMPLEMENTATION OF THE STRATEGY OF CONTROLLED SOCIAL IMPACTS IN THE INFORMATION SPACE

For the implementation of all three levels of targeting of target audience for key message delivery complexes in e-government platforms, it is possible to use meta-information locking systems using DPI technologies. Algorithms and generalized strategies for managing social impact are developed by the authors of this publication. This paper briefly discusses the overall statement of the task of implementing a managed social impact strategy in the information space based on hybrid information communication platforms. A graphical and algorithmic description of information operations related to the targeted distribution of a given information content and to the collection of data on the reactionary changes in the preferences of particular groups of users in the relevant social information environments is presented. Classification of types of digital services user profiles in the information space has been made, which can be practically useful in the development of e-government systems based on modern ICT tools. A brief description of the profiling process for creating a target audience for the purpose of conducting these information operations on the basis of information communication platforms operating in an open internet space. The authors find it effective to move to hybrid cloud communications technologies to implement the processes discussed in the article. The need for the attention of the state to the issues raised in this work is undoubted, since the benefits of active interaction with society are not only the conduct of certain information campaigns, but its consequence is, in fact, the achievement of the pinnacle of the process of informatization of society in the postindustrial era, which directly contributes to the consolidation of a single monolithic nation.

Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems.

Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing. The subsequent gathering of massive amounts of data makes essential the development of event-filtering mechanisms that enable the selection of what is relevant and trustworthy. Due to the rise of mobile event producers, location information has become a valuable filtering criterion, as it not only offers extra information on the described event, but also enhances trust in the producer. Implementing mechanisms that validate the quality of location information becomes then imperative. The lack of such strategies in cloud architectures compels the adoption of new communication schemes for Internet of Things (IoT)-based urban services. To serve the demand for location verification in urban event-based systems (DEBS), we have designed three different fog architectures that combine proximity and cloud communication. We have used network simulations with realistic urban traces to prove that the three of them can correctly identify between 73% and 100% of false location claims.

Secure Cloud Communication for Effective Cost Management System through MSBE

Secure Cloud Communication for Effective Cost Management System through MSBE

Signature Verification and Bloom Hashing Technique for Efficient Cloud Data Storage

Cloud computing is a one of the network-based computing that provides services to computer and other cloud devices. Secure cloud data storage is a significant when using the cloud services provided by the service provider in cloud environment. Many research works have been developed to provide secure wireless communication in cloud. However, integrity verification of stored data on cloud was not addressed in an efficient manner. In order to overcome above limitations, bloom hashing based Schnorr signature (BH-SS) technique is proposed. In BH-SS technique, at first, the cloud users send the request to cloud server and it response the user requested data. Next, bloom hash function is used to increase the integrity of cloud data storage. Bloom hash function is an efficient data structure used for storing the data and its hashed value. Bloom hash function stores the various cloud user data in it bits of array by generating hash value for each cloud data. Each data has the diverse hash value in bit array. This helps for BH-SS technique to improve the data integrity and dynamic data storage in cloud environment. Lastly, BH-SS technique employed Schnorr signature to ensure confidentiality of stored data with the aid of producing private signing key and public verification key. Therefore, proposed BH-SS technique improves the data integrity rate and reduces execution time. The BH-SS technique conducts experimental works on the parameters such as data integrity, space complexity, execution time and data confidentiality rate. The experimental results observe that the BH-SS technique is able to enhance the cloud data integrity and also reduces the execution time of cloud storage and space complexity when compared to state-of-the-art-works.

GALO:A New Intelligent Task Scheduling Algorithm in Cloud Computing Environment

Cloud communication technology is Internet-based computing, where shared resources, software, information, are provided to computers and devices on-demand. They guarantee a way to share distributed resources and services that belong to different organizations through virtualization technology. Cloud has announced a modern idea by deploying one application which offers variety and a lot of services to a number of cloud-users at the same time, however, it suffers from scheduling and workload problems. This paper proposed a cloud computing task scheduling algorithm based on greedy algorithm and Antlion Optimizer algorithm. The main goal of this algorithm is to reduce the make-span and the total cost of the tasks and execution time. This paper suggested the objective share-search function of the make-span and costs of the tasks in order to improve the initialization of the pheromone, the greedy algorithm and the pheromone update method in the antlion algorithm. Also, this context illustrates the analytical study between almost used scheduling algorithms and the proposed algorithm. Theoretically, the proposed algorithm provides a more flexible and guarantee a solution to solve the problem of task scheduling in the cloud computing environment.

An analysis of security challenges and their perspective solutions for cloud computing and IoT

INTRODUCTION: With the on-going revolution inthe Internet of Things and Cloud Computing has made the potential of every object that is connected through the Internet, to exchange and transfer data. Various users perceive this connection and interaction very helpful and serviceable in their daily routines. OBJECTIVES: The objective of this research to identify the complex configured network system is a soft target to security threats, therefore we need a security embedded framework for IoT and cloud communication models. Another objective is to provide protection of information from unauthorized access controls in IoT-cloud integrated framework and secure data from spying. METHODS: This paper has applied an integrated IoT-cloud theoretical solution, whose activities are mainly decided by a centralized controller to provide safeguard against data attacks. Our theoretical integrated IoT-cloud theoretical solution is able to achieve unauthorized access control and data breach. RESULTS: Internet of things and cloud computing has intensively used by several real-time applications. After the thercical analysis, the different vulnerabilities explained after detail literature review to prevent unauthorized access and unauthorized data breach. CONCLUSION: Internet of things have changed the shape of communicationand centralized data controller is the main entity that is robust against eavesdroppers. In case, any eavesdropper tries to be a normal user and attempts to access a personal file then he has been entertained with a misleading file that he considers as an authentic file but in actual it is not. Desirable IoT proposed solutions need to be design and deploy, which can guarantee: anonymity, confidentiality, andintegrity in heterogeneous environments.

Improved AES Algorithm for Secure Communication in Cloud

Improved AES Algorithm for Secure Communication in Cloud

Cloud Communication and IoT for Smart Devices in Real Time Environment

Cloud Communication and IoT for Smart Devices in Real Time Environment

Cloud communications and networking

Cloud communications and networking