Enhanced K-means clustering with encryption on cloud

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Singh, Iqjot^1 ; Dwivedi, Prerna^1 ; Gupta, Taru^1 ; Shynu, P.G.^1

VIT University, Vellore

Tamil nadu

632014, India^1

关键词: Cryptographic algorithms;    DES algorithms;    Electronic data;    Encryption and decryption;    Hashing algorithms;    K;    means clustering;    K-Means clustering algorithm;    Symmetric key cryptography;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042057/pdf
DOI  :  10.1088/1757-899X/263/4/042057

来源: IOP

【 摘 要 】

This paper tries to solve the problem of storing and managing big files over cloud by implementing hashing on Hadoop in big-data and ensure security while uploading and downloading files. Cloud computing is a term that emphasis on sharing data and facilitates to share infrastructure and resources.[10] Hadoop is an open source software that gives us access to store and manage big files according to our needs on cloud. K-means clustering algorithm is an algorithm used to calculate distance between the centroid of the cluster and the data points. Hashing is a algorithm in which we are storing and retrieving data with hash keys. The hashing algorithm is called as hash function which is used to portray the original data and later to fetch the data stored at the specific key. [17] Encryption is a process to transform electronic data into non readable form known as cipher text. Decryption is the opposite process of encryption, it transforms the cipher text into plain text that the end user can read and understand well. For encryption and decryption we are using Symmetric key cryptographic algorithm. In symmetric key cryptography are using DES algorithm for a secure storage of the files. [3]