Advanced Network Security Analysis (ANSA) in Big Data Technology
Shivi Sharma1, Ashish Sharma2, Hemraj Saini3
1Shivi Sharma, Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, INDIA,
2Ashish Sharma, SAP SD Consultant, IBM Pune, Maharashtra -411006,
3Hemraj Saini, Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, INDIA,
Manuscript received on 05 August 2019 | Revised Manuscript received on 10 August 2019 | Manuscript published on 30 August 2019 | PP: 2634-2639 | Volume-8 Issue-10, August 2019 | Retrieval Number: J93690881019/19©BEIESP | DOI: 10.35940/ijitee.J9369.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big Data has caught the attention of research, science, and business world due to the advancement in digitalization. With the evolution of the Internet of Things (IoT), data is increasing by massive amounts every day. In the big data environment, securing a large amount of data has become a challenging issue in both security and research industry. In this paper, a framework has been proposed to inspect malignant information and suspicious activities traveling over the networks by utilizing Hive Queries. This framework’s procedure loads activity information into Hadoop Distributed File System (HDFS) through a Hive database thus examining the information. This information is sorted as IP Wise, Port Wise, and Protocol Wise. Hive queries will help to achieve these three goals:- 1) Traffic classification 2) Interrupt Identification 3) analyzing of network traffic. Using this framework provides users’ a benefit of being able to investigate Big Data and helps them to detect attacks. Therefore, this framework will allow prevention of network attacks and enable real-time detection in a Big Data environment.
Keywords: Big Data, Hadoop, Network attack, Network Security Analysis
Scope of the Article: Big Data