Informatics Publishing Limited

Gagandeep ¹, Gurjit Singh Bhathal ¹, Puneet Kumar ²

Affiliations
1 Department of Computer Engineering at Punjabi University, Patiala, Punjab, IN
2 Department of Electronic and Communication Engineering, Guru Nanak Dev University, Regional Centre, Gurdaspur, Punjab, IN

Abstract

In present scenario, security is the most challenging aspects which is used in cryptography algorithms to encrypt data which is transmitted through internet or any network application to secure data from various passive and active attacks comes out from other in-secure medium. In this survey, we have compares the performance and energy consumption by various different symmetric algorithms like AES, 3DES, DES, RC6, blowfish and RC2 on same input file size.

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Preetinder Singh ¹, Gurjit Singh Bhathal ¹

Affiliations
1 (CE) Department, UCOE, Punjabi University, Patiala, Punjab, IN

Abstract

This paper describes multifactor authentication (more than one security parameters) and authorization resolutions for using online resources. Digital Markets are challenged with allows informal access to online information for authorized users. This paper presents the drawbacks of some present authentication and authorization systems used by industry and proposed new security framework based on multifactor authentication means by including extra security parameters dynamically.

Keywords

Multifactor Authentication, XACML, Dynamic Security, IDMS (Identity Management Server).

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Kamalpreet Kaur ¹, Gurjit Singh Bhathal ¹

Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, IN

Abstract

A big data term is used for large information or data sets which are gathered from government-private organizations, education-technical field, social networks, and from so many resources which generate some informational data. All these resources are produced a huge amount of data sets. There is very critical problem of a big data- is to store all the data sets on a single computer. To solve this problem Big data term is used a cluster of computers to store and process the structured and unstructured data. Hadoop framework gives a well suitable solution of big data's problem. This paper represents the Hadoop framework and its various tools that are well-designed to store and access the large data sets. This paper is also discussing about the Map Reduce program.

Keywords

Big Data, Hadoop Framework, HDFS, Map Reduce.

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