Open AccessAdvanced Network Security Analysis (ANSA) in Big Data Technology
Author(s) -
Sanjay Sharma,
Ashish Sharma,
Hemraj Saini
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9369.0881019
Subject(s) - big data , computer science , identification (biology) , port (circuit theory) , the internet , internet of things , computer security , data science , database , world wide web , data mining , engineering , botany , electrical engineering , biology
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.