Security Challenges for Big Data and IoT

2020 ◽  
Author(s):  
Sitalakshmi Venkatraman ◽  
Anthony Overmars ◽  
Kiran Fahd ◽  
Sazia Parvin ◽  
Samuel Kaspi
Keyword(s):  
Big Data ◽  
Security Challenges

Security Challenges in Big Data

2018 ◽  
Vol 6 (7) ◽  
pp. 981-985
Author(s):  
Dinesh Singh ◽  
Dayanand . ◽  
Arushi Arya
Keyword(s):  
Big Data ◽  
Security Challenges

Guest Editorial Big Security Challenges in Big Data Era

2017 ◽  
Vol 4 (2) ◽  
pp. 521-523 ◽  
Author(s):  
Hongwei Li ◽  
Rongxing Lu ◽  
Jelena Misic
Keyword(s):  
Big Data ◽  
Guest Editorial ◽  
Security Challenges

scholarly journals Solving Cyber Security Challenges using Big Data

2016 ◽  
Vol 154 (4) ◽  
pp. 9-12 ◽  
Author(s):  
Prajakta Joglekar ◽  
Nitin Pise
Keyword(s):  
Big Data ◽  
Cyber Security ◽  
Security Challenges

Security Threats for Big Data

2018 ◽  
Vol 10 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Muhammad Nazrul Islam ◽  
Tarannum Zaki ◽  
Md. Sami Uddin ◽  
Md. Mahedi Hasan
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Modern Science ◽  
Security Threats ◽  
It Security ◽  
Security Threat ◽  
Email Communication ◽  
Security Challenges ◽  
Business Sectors ◽  
E Mail

With the advancement of modern science and technology, data emerging from different fields are escalating gradually. Recently, with this huge amount of data, Big Data has become a source of immense opportunities for large scale organizations related to various business sectors as well as to information technology (IT) professionals. Hence, one of the biggest challenges of this context is the security of this big set of data in different ICT based organizations. The fundamental objective of this article is to explore how big data may create security challenges in email communication. As an outcome, this article first shows that big data analysis helps to understand the behavior or interest of email users, which in turn can help phishers to create the phishing sites or emails that result in IT security threat; second, the article finds that phishing e-mail generation based on the (email) users' behavior can break an organization's IT security; and finally, a framework was proposed that would help to enhance the security of email communication.

scholarly journals An Improved Security Threat Model for Big Data Life Cycle

2018 ◽  
Vol 7 (1) ◽  
pp. 33-39
Author(s):  
Kanika . ◽  
Alka . ◽  
R. A. Khan
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Social Networking Sites ◽  
Point Of View ◽  
Security And Privacy ◽  
Security Threat ◽  
Threat Model ◽  
Data Life Cycle ◽  
Security Challenges ◽  
Data Lifecycle

Big data is a huge amount of data created by individuals related to their medical, internet activity, social networking sites, energy usage communication patterns etc. From these sources, data is being collected and processed by various survey organizations, national statistical agencies, medical centres, and other companies etc. There are many security challenges which occur during data transactions, such as un-authentication, phishing, Vishing, data mining based attacks, etc. From a security point of view the biggest challenge for big data is the protection of user’s privacy. Yazan et.al, have presented big data lifecycle threat model. This paper does a critical review of the work. An Improved Security Threat Model for Big Data Life Cycle has been proposed as a main contribution of the paper. A new phase i.e. data creation phase has been added to the life cycle and it is claimed that the phase is very important one with respect to security and privacy. To justify the claim theoretical and statistical evidences have been provided.

Big Data Security

2015 ◽  
pp. 301-313 ◽  
Author(s):  
Fatima-Zahra Benjelloun ◽  
Ayoub Ait Lahcen
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy ◽  
Economic Sectors ◽  
Data Intensive ◽  
New Information ◽  
Maximum Benefit ◽  
Security Challenges ◽  
Data Context ◽  
Privacy Issues

The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important projects with huge investments were launched by several governments to extract the maximum benefit from Big Data. The private sector has also deployed important efforts to maximize profits and optimize resources. However, Big Data sharing brings new information security and privacy issues. Traditional technologies and methods are no longer appropriate and lack of performance when applied in Big Data context. This chapter presents Big Data security challenges and a state of the art in methods, mechanisms and solutions used to protect data-intensive information systems.

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