A COMPREHENSIVE REVIEW OF BIG DATA APPLICATIONS IN ENHANCING THE EFFICACY OF SECURITY AND PRIVACY SAFEGUARDS

Swayam Jain

Vol. 6, Issue 1, Jan-Dec 2020

Page Number: 148 - 156

Abstract:

Recently, a huge amount of information has always been created. Such a lot of information created from our traditional data management tool is insufficient. The information is developing step by step as a direct result of additional purposes of the web and more cell phone clients, online entertainment organizations, Health care, and so forth. Thus, we spread the word about the term Big Data along these lines. In this way, from a higher place, we can comprehend that huge information is a mixture of an enormous measure of information and complex information. For the most part, information is stored in three structures: structured, unstructured, and semi-structured. To respond to these inquiries, we will play out a little rule which is known as an "efficient Literature survey (SLR)" [1]. As per this standard, we will gather, classify, investigate, and finish up the top exploration papers, audit papers, books, meetings, etc. The primary commitment of this work lies in the comparative investigation of huge data security and protection. We will attempt to find protection and security issues in enormous information, yet, we require some more research in this area.

References

• 2016 IEEE International Conference on Big Data (Big Data) 978-1-4673-9005-7/16/$31.00 ©2016 IEEE 3693 Security and Privacy for Big Data: A Systematic Literature Review Boel Nelson Department of Computer Science and Engineering Chalmers University of Technology Email: boeln@chalmers.se Tomas Olovsson Department of Computer Science and Engineering Chalmers University of Technology Email: tomasol@chalmers.se
• International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 2, Volume 2 (February 2015) www.ijirae.com 2015, IJIRAE- All Rights Reserved Page – 15 Big Data Security Issues and Challenges Raghav Toshniwal* Kanishka Ghosh Dastidar Asoke Nath Department of Computer Science Department of Computer Science Department of Computer Science St. Xavier’s College (Autonomous) St. Xavier’s College (Autonomous) St.Xavier’s College (Autonomous) Kolkata, India Kolkata, India Kolkata, India
• International Journal of Computer Applications (0975 – 8887) Volume 177 – No.4, November 2017 23 Big Data Security and Privacy: A Review on Issues, Challenges and Privacy Preserving Methods, Anupama Jha Assistant Professor, VIPS, GGSIPU New Delhi, India Meenu Dave, PhD Professor Jagannath University Jaipur, India Supriya Madan, PhD Professor VIPS, GGSIPU New Delhi, India
• Jain et al. J Big Data (2016) 3:25 -DOI 10.1186/s40537-016-0059-y big data privacy: a technological perspective and review Priyank Jain*, Manasi Gyanchandani and Nilay Khare
• 2021 3rd International Conference on Signal Processing and Communication (ICPSC) | 13 –14 May 2021 | Coimbatore A Review on Big Data: Privacy and Security Challenges, Parth Goel Department of Computer Science & Engineering Devang Patel Institute of Advance Technology and Research (DEPSTAR) Charotar University of Science and Technology (CHARUSAT), CHARUSAT campus, Changa 388421, India, Radhika Patel Department of Information Technology Devang Patel Institute of Advance Technology and Research (DEPSTAR) Charotar University of Science and Technology (CHARUSAT), CHARUSAT campus, Changa 388421, India, Dweepna Garg Department of Computer Engineering Devang Patel Institute of Advance Technology and Research (DEPSTAR), Charotar University of Science and Technology (CHARUSAT), HARUSAT campus, Changa 388421, India Amit Ganatra Department of Computer Engineering Devang Patel Institute of Advance Technology and Research (DEPSTAR) Charotar University of Science and Technology (CHARUSAT), CHARUSAT campus, Changa 388421, India, amitganatra.ce@charusat.ac.in
• A Comparative Study of Recent Advances in Big Data for Security and Privacy Ahlam Kourid and Salim Chikhi A. Kourid ⋅ S. Chikhi Computer Science Department, MISC Laboratory, College of NTIC, Constantine 2 University – A. Mehri, 25000 Constantine, Algeriae-mail:ahlam.kourid@univconstantine2. dz S. Chikhi © Springer Nature Singapore Pte Ltd. 2018 G.M. Perez et al. (eds.), Networking Communication and Data Knowledge Engineering, Lecture Notes on Data Engineering and Communications Technologies 4, https://doi.org/10.1007/978-981-10-4600-1_23 BIG DATA, CLOUD & MOBILE COMPUTING Big Data security and privacy: A review MATTURDI Bardi1, ZHOU Xianwei2, LI Shuai2, LIN Fuhong2* 1 School of mathematics and information, Hotan Teachers College, Hetian 848000, Xinjiang, P. R. China 2 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
• Real-Time Processing of Big Data Streams: Lifecycle, Tools, Tasks, and Challenges Fatih Gürcan Department of Computer Engineering Karadeniz Technical University Trabzon, Turkey fgurcan@ktu.edu.tr Muhammet Berigel Department of Management Information Systems Karadeniz Technical University Trabzon, Turkey berigel@ktu.edu.tr
• Contents lists available at ScienceDirect Array Journal Big Data: Hadoop framework vulnerabilities, security issues and attacks Gurjit Singh Bhathal *, Amardeep Singh a department of Computer Science and Engineering, Punjabi University Patiala, Punjab 147002, India
• International Journal of Mechanical engineering and Technology (IJMET) Volume 8, Issue 4, April 2017, pp. 408–412 Article ID: IJMET_08_04_043 ISSN Print: 0976-6340 and ISSN Online: 0976- 6359, BIG DATA SECURITY AND PRIVACY: A SHORT REVIEW Dr. Md. Tabrez Quasim Department of Computer Science & Information System, University of Bisha, Saudi Arabia Mohammad. Meraj College of Computer & Information Sciences, King Saud University, Saudi Arabia
• Comprehensive Survey on Big Data Privacy Protection MOHAMMED BINJUBEIR 1, ABDULGHANI ALI AHMED 1, (Senior Member, IEEE), MOHD ARFIAN BIN ISMAIL 1, ALI SAFAA SADIQ 2,3, (Senior Member, IEEE), AND MUHAMMAD KHURRAM KHAN 4, (Senior Member, IEEE) 1Faculty of Computer Systems and Software Engineering, University Malaysia Pahang, Kuantan 26300, Malaysia 2Wolverhampton Cyber Research Institute, School of Mathematics and Computer Science, University of Wolverhampton, Wolverhampton WV1 LY, U.K. 3Center of Altricial Intelligence Research and Optimization, Torrens University, Brisbane, QLD 4006, Australia 4Center of Excellence in Information Assurance, King Saud University, Riyadh 12372, Saudi Arabia Corresponding author: Muhammad Khurram Khan (mkhurram@ksu.edu.sa) This work was supported by the Faculty of Computer System and Software Engineering, University Malaysia Pahang under the internal grant No. RDU190311 and Fundamental Research Grant Scheme (FRGS) with Vot No. RDU190113 and in part by the Researchers Supporting Project under RSP-2019/12, King Saud University, Riyadh, Saudi Arabia.
• Multimed Tools Appl (2018) 77:9203–9208 DOI 10.1007/s11042-017-5301-x, Advances in Security and Privacy of Multimedia Big Data in Mobile and Cloud Computing B. B. Gupta1 & Shingo Yamaguchi 2 & Dharma P. Agrawal 3 Published online: 13 November 2017 # Springer Science Business Media, LLC 2017
• 2018 18th IEEE International Conference on Communication Technology, A Review of Big Data Security and Privacy Protection Technology, Denglong Lv, Shibing Zhu, Huazheng Xu College of Space Information Space Engineering University Beijing, China e-mail: ldlboss519519@163.com, Ran Liu Hebei Meteorological Bureau Hebei, China

Back Download