scholarly journals Reliability of Trust Management Systems in Cloud Computing

2022 ◽  
pp. 1-5
Author(s):  
Ms. Pooja Goyal ◽  
◽  
Dr. Sukhvinder Singh Deora ◽  
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Trust Management ◽  
Management Systems ◽  
Wide Spread ◽  
Dynamic Nature ◽  
Trust Models ◽  
Computing Structure ◽  
Feedback Rating ◽  
The Web

Cloud computing is an innovation that conveys administrations like programming, stage, and framework over the web. This computing structure is wide spread and dynamic, which chips away at the compensation per-utilize model and supports virtualization. Distributed computing is expanding quickly among purchasers and has many organizations that offer types of assistance through the web. It gives an adaptable and on-request administration yet at the same time has different security dangers. Its dynamic nature makes it tweaked according to client and supplier’s necessities, subsequently making it an outstanding benefit of distributed computing. However, then again, this additionally makes trust issues and or issues like security, protection, personality, and legitimacy. In this way, the huge test in the cloud climate is selecting a perfect organization. For this, the trust component assumes a critical part, in view of the assessment of QoS and Feedback rating. Nonetheless, different difficulties are as yet present in the trust the board framework for observing and assessing the QoS. This paper talks about the current obstructions present in the trust framework. The objective of this paper is to audit the available trust models. The issues like insufficient trust between the supplier and client have made issues in information sharing likewise tended to here. Besides, it lays the limits and their enhancements to help specialists who mean to investigate this point.

scholarly journals A Review on Various Applications of Reputation Based Trust Management

2021 ◽  
Vol 15 (10) ◽  
pp. 87
Author(s):  
Govindaraj Ramya ◽  
Govindaraj Priya ◽  
Chowdhury Subrata ◽  
Dohyeun Kim ◽  
Duc Tan Tran ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Management System ◽  
Trust Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Peer To Peer ◽  
Cloud Services ◽  
Management Systems ◽  
Significant Challenge ◽  
The Future

<p class="0abstract">The extremely vibrant, scattered, and non–transparent nature of cloud computing formulate trust management a significant challenge. According to scholars the trust and security are the two issues that are in the topmost obstacles for adopting cloud computing. Also, SLA (Service Level Agreement) alone is not necessary to build trust between cloud because of vague and unpredictable clauses. Getting feedback from the consumers is the best way to know the trustworthiness of the cloud services, which will help them improve in the future. Several researchers have stated the necessity of building a robust management system and suggested many ideas to manage trust based on consumers' feedback. This paper has reviewed various reputation-based trust management systems, including trust management in cloud computing, peer-to-peer system, and Adhoc system. </p>

Security Threats and Recent Countermeasures in Cloud Computing

2020 ◽  
pp. 145-161 ◽  
Author(s):  
Anupama Mishra ◽  
Neena Gupta ◽  
Brij B. Gupta
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Security Threats ◽  
Record Time ◽  
Cloud Server ◽  
The World ◽  
To Receive ◽  
The Web

The cloud is an appealing innovation that has driven, in record time, an extraordinary interest. It is right now one of the busiest regions of research in IT, due to its adaptability, vigor, and capacity to altogether lessen the expenses of administrations to clients on the web. Additionally, cloud stores all client information in server farms dispersed the world over. In this manner, security has turned into a foremost worry that anticipates numerous organizations to receive its administrations. Clients should store their information, a few of which are ordinarily secret or individual; in this way, the authors are exceptionally mindful to information honesty and classification amid exchange to a cloud server. This exploration chapter plans to build up an investigation on the different security threats engaged with distributed computing along with their recent countermeasures.

scholarly journals Information Security in Cloud Computing utilizing Fully Homomorphic Encryption Techniques

2019 ◽  
Vol 8 (6S2) ◽  
pp. 679-683
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Distributed Computing ◽  
Homomorphic Encryption ◽  
Fully Homomorphic Encryption ◽  
Encryption Method ◽  
The Web

Flowed enlisting gives a course to the business to deal with the figuring assets on the web. The term has made over late years, and can be utilized to outline the utilization of a pariah for your capacity and figuring needs.The mechanical improvement of distributed computing has helped the business to develop as well as the wellbeing of information has turned into a noteworthy issue. Numerous encryption procedures are utilized as a part of information security in cloud. They are especially powerful when the information is away state and in transmission state. Be that as it may, in handling state the information must be unscrambled so that the operations can be performed. Once the information is unscrambled it is accessible to the cloud supplier henceforth these customary encryption systems are insufficient to secure the information. The information will be protected if the operations are performed in the decoded information. This can be accomplished if the information is encoded utilizing homomorphic encryption strategies. This paper examines about the homomorphic encryption method, its disadvantages and future improvements. [19],[20],[21]

Trust and Reliability Management in Large-Scale Cloud Computing Environments

2021 ◽  
pp. 66-89
Author(s):  
Punit Gupta
Keyword(s):  
Cloud Computing ◽  
Trust Management ◽  
Large Scale ◽  
Cloud Environment ◽  
Future Prospects ◽  
Distributed Environment ◽  
Reliability Management ◽  
Trust Models ◽  
Management Techniques ◽  
Computing Environments

Trust is a firm belief over a person or a thing in distributed environment based on its feedback on review based on its performance by others. Similarly, in cloud, trust models play an important role in solving various open challenges in cloud environment. This chapter showcases all such issues that can be solved by trust management techniques. This work discourses various trust management models and its categorization. The work discourses existing work using trust models from the field of grid computing, cloud computing, and web services because all these domains are sub child of each other. The work provides an abstract view over all trust models and find the suitable one for cloud and its future prospects.

A Study for VM Placement Schemes in Cloud

2017 ◽  
Vol 7 (8) ◽  
pp. 208
Author(s):  
Ramandeep Kaur ◽  
Navpreet Kaur
Keyword(s):  
Cloud Computing ◽  
Reaction Time ◽  
Task Scheduling ◽  
Specific Time ◽  
Due Date ◽  
Vm Placement ◽  
Time Task ◽  
Wide Range ◽  
The Web

The cloud computing can be essentially expressed as aconveyance of computing condition where distinctive assets are conveyed as a support of the client or different occupants over the web. The task scheduling basically concentrates on improving the productive use of assets and henceforth decrease in task fruition time. Task scheduling is utilized to allot certain tasks to specific assets at a specific time occurrence. A wide range of systems has been exhibited to take care of the issues of scheduling of various tasks. Task scheduling enhances the productive use of asset and yields less reaction time with the goal that the execution of submitted tasks happens inside a conceivable least time. This paper talks about the investigation of need, length and due date based task scheduling calculations utilized as a part of cloud computing.

Supervised Classifier Approach for Intrusion Detection on KDD with Optimal MapReduce Framework Model in Cloud Computing

2019 ◽  
Vol 12 ◽  
Author(s):  
M. Ilayaraja ◽  
S. Hemalatha ◽  
P. Manickam ◽  
K. Sathesh Kumar ◽  
K. Shankar
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Intrusion Detection ◽  
Decision Tree ◽  
Learning Strategies ◽  
Nearest Neighbor ◽  
Detection System ◽  
K Nearest Neighbor ◽  
Mapreduce Model ◽  
The Web

Cloud computing is characterized as the arrangement of assets or administrations accessible through the web to the clients on their request by cloud providers. It communicates everything as administrations over the web in view of the client request, for example operating system, organize equipment, storage, assets, and software. Nowadays, Intrusion Detection System (IDS) plays a powerful system, which deals with the influence of experts to get actions when the system is hacked under some intrusions. Most intrusion detection frameworks are created in light of machine learning strategies. Since the datasets, this utilized as a part of intrusion detection is Knowledge Discovery in Database (KDD). In this paper detect or classify the intruded data utilizing Machine Learning (ML) with the MapReduce model. The primary face considers Hadoop MapReduce model to reduce the extent of database ideal weight decided for reducer model and second stage utilizing Decision Tree (DT) classifier to detect the data. This DT classifier comprises utilizing an appropriate classifier to decide the class labels for the non-homogeneous leaf nodes. The decision tree fragment gives a coarse section profile while the leaf level classifier can give data about the qualities that influence the label inside a portion. From the proposed result accuracy for detection is 96.21% contrasted with existing classifiers, for example, Neural Network (NN), Naive Bayes (NB) and K Nearest Neighbor (KNN).

Providing a Smart Industrial Environment with the Web of Things and Cloud Computing

2016 ◽  
Author(s):  
Marlon C. Domenech ◽  
Leonardo P. Rauta ◽  
Marcelo Dornbusch Lopes ◽  
Paulo H. Da Silva ◽  
Rodrigo C. Da Silva ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Industrial Environment ◽  
Web Of Things ◽  
The Web

scholarly journals Specifying and Executing User Agents in an Environment of Reasoning and RESTful Systems Using the Guard-Stage-Milestone Approach

2021 ◽  
Author(s):  
Tobias Käfer ◽  
Benjamin Jochum ◽  
Nico Aßfalg ◽  
Leonard Nürnberg
Keyword(s):  
Linked Data ◽  
Operational Semantics ◽  
Workflow Management ◽  
Management Systems ◽  
Workflow Management Systems ◽  
The Web

AbstractFor Read-Write Linked Data, an environment of reasoning and RESTful interaction, we investigate the use of the Guard-Stage-Milestone approach for specifying and executing user agents. We present an ontology to specify user agents. Moreover, we give operational semantics to the ontology in a rule language that allows for executing user agents on Read-Write Linked Data. We evaluate our approach formally and regarding performance. Our work shows that despite different assumptions of this environment in contrast to the traditional environment of workflow management systems, the Guard-Stage-Milestone approach can be transferred and successfully applied on the web of Read-Write Linked Data.

scholarly journals Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 259
Author(s):  
Ioannis Drivas ◽  
Dimitrios Kouis ◽  
Daphne Kyriaki-Manessi ◽  
Georgios Giannakopoulos
Keyword(s):  
Search Engine ◽  
Common Knowledge ◽  
Organizational Structures ◽  
Content Management ◽  
Data Driven ◽  
Management Systems ◽  
Search Engine Optimization ◽  
Optimization Methodology ◽  
Content Management Systems ◽  
The Web

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.

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