scholarly journals An Enhanced Technique to discover web data extraction and Data mining in Multi Cloud Server

2021 ◽  
Vol 7 (10) ◽  
pp. 40-47
Author(s):  
Dadi Madhu SivaRama Krishna, S.Suryanarayana Raju and Ajay Dilip Kumar Marapatla
Keyword(s):  
Data Mining ◽  
Data Security ◽  
Data Extraction ◽  
Data Gathering ◽  
Global Network ◽  
Online Data ◽  
Data Process ◽  
Attribute Based Encryption ◽  
Cloud Server ◽  
Cloud Servers

Data mining is a critical stage in the Knowledge Discovery process acquire from databases (KDD), thus a new approach that’s can joint with online data process of extraction, which serves as data gathering from the global network ( web), and data mining techniques is required.The primary contribution of this study is the proposal of a system for collecting categorical online data on several cloud servers while ensuring data security and integrity for consumers. The algorithms' effectiveness employed inside our technique is illustrated using clustered sections of the data that should be encrypted inside the cloud server combining the three clustering measurements precision, recall, and accuracy. We proposed KeyGen algorithm to maintain data security by using cryptographic concepts with respective ABE (attribute-based encryption) and cypher text policy (cypher text policy) are two types of attribute-based encryption (CP-ABE).

scholarly journals Dual Authentication-Based Encryption with a Delegation System to Protect Medical Data in Cloud Computing

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 171 ◽  
Author(s):  
Aymen Mudheher Badr ◽  
Yi Zhang ◽  
Hafiz Gulfam Ahmad Umar
Keyword(s):  
Cloud Computing ◽  
Data Access ◽  
Easy Access ◽  
Communication Overhead ◽  
Attribute Based Encryption ◽  
Data Owner ◽  
Cloud Server ◽  
User Data ◽  
Cloud Servers ◽  
The Cost

The increasing use of cloud computing, especially in commercial, government and healthcare institutions, started with the use of computerized clouds. Clouds store important data, which reduces the cost of management and ensures easy access. To protect this data, cryptographic methods are used to ensure confidentiality of the data, as well as to secure access to user data and increase trust in cloud technology. In our paper, we suggest a new scheme to support an attribute-based encryption system (ABE) that involves multiple parties such as data owners, data users, cloud servers and authority. A verified and authenticated decryption process for the cloud environment is the imperative feature of our proposed architecture. The data owner encrypts their data and sends it to the cloud. The cloud server performs partial decryption and the final decrypted data are shared for users as per their privileges. Thus, the data owner reduces complexity of productivity by delegating the decryption process to the cloud server. Analysis of the experimental results confirms that data access in the electronic cloud atmosphere is safer due to a controlled multiple-users-rights scheme. Our performance evaluation results show that the proposed model condensed the communication overhead and made Digital Imaging and Communications in Medicine (DICOM) more secure.

scholarly journals A Multi-User Ciphertext Policy Attribute-Based Encryption Scheme with Keyword Search for Medical Cloud System

2020 ◽  
Vol 11 (1) ◽  
pp. 63
Author(s):  
Han-Yu Lin ◽  
Yan-Ru Jiang
Keyword(s):  
Health Information ◽  
Keyword Search ◽  
Population Aging ◽  
Personal Health Record ◽  
Fine Grained ◽  
Attribute Based Encryption ◽  
Cryptographic Primitive ◽  
Cloud Server ◽  
Ciphertext Policy ◽  
Cloud Servers

Population aging is currently a tough problem of many countries. How to utilize modern technologies (including both information and medical technologies) to improve the service quality of health information is an important issue. Personal Health Record (PHR) could be regarded as a kind of health information records of individuals. A ciphertext policy attribute-based encryption (CP-ABE) is a cryptographic primitive for fine-grained access control of outsourced data in clouds. In order to enable patients to effectively store his medical records and PHR data in medical clouds, we propose an improved multi-user CP-ABE scheme with the functionality of keyword search which enables data users to seek for specific ciphertext in the cloud server by using a specific keyword. Additionally, we adopt an independent proxy server in the proposed system architecture to isolate the communication between clients and the cloud server, so as to prevent cloud servers from suffering direct attacks and also reduce the computational loading of cloud servers. Compared with the previous approach, the proposed encryption algorithm takes less running time and the ciphertext length is also relatively short. Moreover, the procedures of re-encryption and pre-decryption only require one exponentiation computation, respectively.

scholarly journals Energetic Data Security Management Scheme using Hybrid Encryption Algorithm over Cloud Environment

2021 ◽  
Vol 12 (6) ◽  
pp. 201-208
Author(s):  
Quazi Warisha Ahmed Et.al
Keyword(s):  
Data Security ◽  
Advanced Encryption Standard ◽  
Security Level ◽  
Cloud Environment ◽  
Cloud Data ◽  
Hybrid Encryption ◽  
Digital Format ◽  
Cloud Server ◽  
Cloud Servers ◽  
Data Maintenance

Now-a-days all documents are in a digital format as well as everyone need to maintain their data in electronic mode with the help of cloud servers. A cloud server provides lots of facilities to users such as remote data maintenance, huge data handling and so on. But in the case of security many cloud servers are providing probabilistic results alone. So, that a new cloud server data maintenance scheme is required to provide a high-level data security to the cloud system in an efficient manner. This paper introduces a new crypto-approach called Novel Hybrid Encryption Mode (NHEM), in which this algorithm integrates several latest approaches of crypto logics into it and provides a top-end security level to the cloud data. This NHEM is derived from the base factors of two cryptographic algorithms called Advanced Encryption Standard with 512-bit size of key frequency with Message Digest (MD5) algorithm. By using the integration of these two powerful approaches, a novel approach called NHEM is designed and it provides a huge support to preserve security on cloud medium. The cloud data needs to be protected from unwanted threats and intruders by means of raising an interruption attacks on server. The proposed approach of Novel Hybrid Encryption Mode concentrates more on access control logics and the crypto norms with respect to privacy measures. In this paper, the proposed scheme assures the data is too robust and no one can attack the data without proper credentials as well as the outcome proofs are clearly given on the resulting unit of this paper. The Advanced Encryption Standard algorithm is a well-known and powerful crypto scheme and the MD5 algorithm is also considered to be the unique unidirectional algorithm to provide security level in energetic manner. These two algorithms are combined together with the bit frequency of 512 to achieve the highest accuracy levels in data security over cloud environment as well as the resulting portion clearly illustrates that with proper graphical outcome.

Transient Stability Multi Swing Step-out Prediction with Online Data Mining

2016 ◽  
Vol 136 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Takuya Omi ◽  
Hiroto Kakisaka ◽  
Shinichi Iwamoto
Keyword(s):  
Data Mining ◽  
Transient Stability ◽  
Online Data

Control Cloud Data Access Privilge Anonymity with Attributed Based Encryption

2017 ◽  
Vol 7 (8) ◽  
pp. 279
Author(s):  
P. Sudheer ◽  
T. Lakshmi Surekha
Keyword(s):  
Data Privacy ◽  
Low Cost ◽  
Data Access ◽  
Privacy Concerns ◽  
Cloud Data ◽  
Computing Paradigm ◽  
Attribute Based Encryption ◽  
Data Content ◽  
Identity Privacy ◽  
Cloud Servers

Cloud computing is a revolutionary computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the attribute-based encryption have been to secure the cloud storage. Data content privacy. A semi anonymous privilege control scheme AnonyControl to address not only the data privacy. But also the user identity privacy. AnonyControl decentralizes the central authority to limit the identity leakage and thus achieves semi anonymity. The  Anonymity –F which fully prevent the identity leakage and achieve the full anonymity.

Online Data Mining for Co-Evolving Time Sequences

1999 ◽  
Author(s):  
B. K. Yi ◽  
N. D. Sidiropoulos ◽  
T. Johnson ◽  
H. V. Jagadish ◽  
C. Faloutsos
Keyword(s):  
Data Mining ◽  
Online Data ◽  
Time Sequences

Comparative Study of Cryptography for Cloud Computing for Data Security

2019 ◽  
Vol 13 ◽  
Author(s):  
Priya Mathur ◽  
Amit Kumar Gupta ◽  
Prateek Vashishtha
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Elliptic Curve Cryptography ◽  
Plain Text ◽  
Hybrid Encryption ◽  
Cipher Text ◽  
Business Applications ◽  
Computing Grid ◽  
Cloud Servers ◽  
Client Side

Cloud computing is an emerging technique by which anyone can access the applications as utilities over the internet. Cloud computing is the technology which comprises of all the characteristics of the technologies like distributed computing, grid computing, and ubiquitous computing. Cloud computing allows everyone to create, to configure as well as to customize the business applications online. Cryptography is the technique which is use to convert the plain text into cipher text using various encryption techniques. The art and science used to introduce the secrecy in the information security in order to secure the messages is defined as cryptography. In this paper we are going to review few latest Cryptographic algorithms which are used to enhance the security of the data on the cloud servers. We are comparing Short Range Natural Number Modified RSA (SRNN), Elliptic Curve Cryptography Algorithm, Client Side Encryption Technique and Hybrid Encryption Technique to secure the data in cloud.

Data Mining for ERW Welded Tube Scheduling Rules Based on Decision Tree

2011 ◽  
Vol 403-408 ◽  
pp. 1804-1807
Author(s):  
Ning Zhao ◽  
Shao Hua Dong ◽  
Qing Tian
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Arc Welding ◽  
Data Cleaning ◽  
Data Extraction ◽  
Electric Arc ◽  
Welded Tube ◽  
Electric Arc Welding ◽  
Decision Tree Method ◽  
Tree Method

In order to optimize electric- arc welding （ERW） welded tube scheduling , the paper introduces data cleaning, data extraction and transformation in detail and defines the datasets of sample attribute, which is based on analysis of production process of ERW welded tube. Furthermore, Decision-Tree method is adopted to achieve data mining and summarize scheduling rules which are validated by an example.

Provably Secure Authentication Approach for Data Security in Cloud Using Hashing, Encryption, and Chebyshev-Based Authentication

2022 ◽  
Vol 16 (1) ◽  
pp. 0-0
Keyword(s):  
Data Security ◽  
Security Analysis ◽  
Data Communication ◽  
Computation Time ◽  
Computational Time ◽  
Security Issues ◽  
Authentication Mechanism ◽  
Cloud Server ◽  
Secure Authentication ◽  
Provably Secure

Secure and efficient authentication mechanism becomes a major concern in cloud computing due to the data sharing among cloud server and user through internet. This paper proposed an efficient Hashing, Encryption and Chebyshev HEC-based authentication in order to provide security among data communication. With the formal and the informal security analysis, it has been demonstrated that the proposed HEC-based authentication approach provides data security more efficiently in cloud. The proposed approach amplifies the security issues and ensures the privacy and data security to the cloud user. Moreover, the proposed HEC-based authentication approach makes the system more robust and secured and has been verified with multiple scenarios. However, the proposed authentication approach requires less computational time and memory than the existing authentication techniques. The performance revealed by the proposed HEC-based authentication approach is measured in terms of computation time and memory as 26ms, and 1878bytes for 100Kb data size, respectively.

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