Impact of Big Data on Security

2018 ◽  
pp. 326-350
Author(s):  
Kasarapu Ramani
Keyword(s):  
Big Data ◽  
Defense Mechanisms ◽  
Security And Privacy ◽  
End User ◽  
Sensitive Data ◽  
Insider Threats ◽  
Security Issues ◽  
Commercial Importance ◽  
Multi Level ◽  
Access Privileges

Big data has great commercial importance to major businesses, but security and privacy challenges are also daunting this storage, processing, and communication. Big data encapsulate organizations' most important and sensitive data with multi-level complex implementation. The challenge for any organization is securing access to the data while allowing end user to extract valuable insights. Unregulated access privileges to the big data leads to loss or theft of valuable and sensitive. Privilege escalation leads to insider threats. Also, the computing architecture of big data is not focusing on session recording; therefore, it is becoming a challenge to identify potential security issues and to take remedial and mitigation mechanisms. Therefore, various big data security issues and their defense mechanisms are discussed in this chapter.

Impact of Big Data on Security

2019 ◽  
pp. 2014-2038
Author(s):  
Kasarapu Ramani
Keyword(s):  
Big Data ◽  
Defense Mechanisms ◽  
Security And Privacy ◽  
End User ◽  
Sensitive Data ◽  
Insider Threats ◽  
Security Issues ◽  
Commercial Importance ◽  
Multi Level ◽  
Access Privileges

Big data has great commercial importance to major businesses, but security and privacy challenges are also daunting this storage, processing, and communication. Big data encapsulate organizations' most important and sensitive data with multi-level complex implementation. The challenge for any organization is securing access to the data while allowing end user to extract valuable insights. Unregulated access privileges to the big data leads to loss or theft of valuable and sensitive. Privilege escalation leads to insider threats. Also, the computing architecture of big data is not focusing on session recording; therefore, it is becoming a challenge to identify potential security issues and to take remedial and mitigation mechanisms. Therefore, various big data security issues and their defense mechanisms are discussed in this chapter.

scholarly journals Privacy and Security Issues in Online Social Networks

2018 ◽  
Vol 10 (12) ◽  
pp. 114 ◽  
Author(s):  
Shaukat Ali ◽  
Naveed Islam ◽  
Azhar Rauf ◽  
Ikram Din ◽  
Mohsen Guizani ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Service Providers ◽  
Security And Privacy ◽  
Security Issue ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Security Issues ◽  
Social Sphere

The advent of online social networks (OSN) has transformed a common passive reader into a content contributor. It has allowed users to share information and exchange opinions, and also express themselves in online virtual communities to interact with other users of similar interests. However, OSN have turned the social sphere of users into the commercial sphere. This should create a privacy and security issue for OSN users. OSN service providers collect the private and sensitive data of their customers that can be misused by data collectors, third parties, or by unauthorized users. In this paper, common security and privacy issues are explained along with recommendations to OSN users to protect themselves from these issues whenever they use social media.

scholarly journals Authorization of Data In Hadoop Using Apache Sentry

2018 ◽  
Vol 7 (3.6) ◽  
pp. 234 ◽  
Author(s):  
N Sirisha ◽  
K V.D. Kiran
Keyword(s):  
Big Data ◽  
Data Security ◽  
Data Encryption ◽  
Security Model ◽  
Huge Amount ◽  
Sensitive Data ◽  
Major Drawback ◽  
Security Issues ◽  
On Demand ◽  
Increasing Trend

Big Data has become more popular, as it can provide on-demand, reliable and flexible services to users such as storage and its processing. The data security has become a major issue in the Big data. The open source HDFS software is used to store huge amount of data with high throughput and fault tolerance and Map Reduce is used for its computations and processing. However, it is a significant target in the Hadoop system, security model was not designed and became the major drawback of Hadoop software. In terms of storage, meta data security, sensitive data  and also the data security will be an serious issue in HDFS. With the importance of Hadoop in today's enterprises, there is also an increasing trend in providing a high security features in enterprises. Over recent years, only some level of security in Hadoop such as Kerberos and Transparent Data Encryption(TDE),Encryption techniques, hash techniques are shown for Hadoop. This paper, shows the efforts that are made to present Hadoop Authorization security issues using Apache Sentry in HDFS. 

Application and Security Issues in Cloud Computing

2019 ◽  
Vol 8 (4) ◽  
pp. 3440-3443
Keyword(s):  
Cloud Computing ◽  
Research Work ◽  
Data Access ◽  
Data Recovery ◽  
Security And Privacy ◽  
End User ◽  
Data Confidentiality ◽  
Platform As A Service ◽  
Security Issues ◽  
Privacy Issues

Cloud computing is attaining a pace for resolving complex computing problems. It is basically an abstracted layer of technology which has three service models: Infrastructure as a Service (IaaS), (Software as a Service) SaaS and (Platform as a Service) PaaS, which provide infrastructure, software and a platform to end-user. On the contrary, there are lots of issues which include energy efficiency, cloud integrity, data recovery, backup, etc. Security and privacy issues like data confidentiality and integrity are the most critical ones. This paper highlights the security issues related to data stored and data access from back end (service provider). It collates each and every application related to cloud and available techniques to resolve some issues. Very less research work has been done on applications and security issues of cloud computing together. This article is an analysis of cloud computing applications and security issues as it is used to a great extent. In future this paper will help research community to grab information regarding applications and techniques to resolve the issues related to Cloud computing.

A Review of Security Challenges in Cloud Storage of Big Data

2019 ◽  
pp. 1440-1459
Author(s):  
Sara Usmani ◽  
Faiza Rehman ◽  
Sajid Umair ◽  
Safdar Abbas Khan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Cloud Storage ◽  
Personal Data ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
The People

The novel advances in the field of Information Technology presented the people pleasure, luxuries and ease. One of the latest expansions in the Information Technology (IT) industry is Cloud Computing, a technology that uses the internet for storage and access of data. It is also known as on-demand computing. The end user can access personal data and applications anywhere any time with a device having internet. Cloud Computing has gained an enormous attention but it results in the issues of data security and privacy as the data is scattered on different machines in different places across the globe which is a serious threat to the technology. It has many advantages like flexibility, efficiency and scalability but many of the companies are hesitant to invest in it due to privacy concerns. In this chapter, the objective is to review the privacy and security issues in cloud storage of Big Data and to enhance the security in cloud environment so that end users can enjoy a trustworthy and reliable data storage and access.

An Overview of Big Data Security with Hadoop Framework

2016 ◽  
pp. 165-181
Author(s):  
Jaya Singh ◽  
Ashish Maruti Gimekar ◽  
S. Venkatesan
Keyword(s):  
Big Data ◽  
Data Security ◽  
High Volume ◽  
Digital Data ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Traditional System ◽  
Security Issues ◽  
Security Challenges ◽  
Almost All

Big Data is a very huge volume of data which is beyond the storage capacity and processing capability of traditional system. The volume of data is increasing at exponential rate. Therefore, there is the need of such mechanism to store and process such high volume of data. The impressiveness of the Big data lies with its major applicability to almost all industries. Therefore, it represents both, the tremendous opportunities and complex challenges. Such omnipotent eminence leads to the privacy and security related challenges to the big data. Nowadays, security of big data is mainly focused by every organization because it contains a lot of sensitive data and useful information for taking decisions. The hostile nature of digital data itself has certain inherited security challenges. The aim of Big data security is to identify security issues and to find the better solution for handling security challenges. The observation and analysis of different security mechanism related to the issues of big data and their solutions are focused in this chapter.

Solution to Big Data Security Issues

2021 ◽  
pp. 67-74
Author(s):  
Prashant Srivastava ◽  
Niraj Kumar Tiwari ◽  
Ali Abbas
Keyword(s):  
Big Data ◽  
Data Security ◽  
Data System ◽  
Distributed File System ◽  
Security Model ◽  
End User ◽  
Privacy And Security ◽  
Security Issues ◽  
Multiple Phase ◽  
New Challenges

Organizations now have knowledge of big data significance, but new challenges stand up with new inventions. These challenges are not only limited to the three Vs of big data, but also to privacy and security. Attacks on big data system ranges from DDoS to information theft, ransomware to end user level security. So implementing security to big data system is a multiple phase-based ongoing process in which security is imposed from perimeter level to distributed file system security, cloud security to data security, storage to data mining security, and so on. In this chapter, the authors have identified some key vulnerable point related to big data and also proposed a security model.

A Review of Security Challenges in Cloud Storage of Big Data

2018 ◽  
pp. 175-195
Author(s):  
Sara Usmani ◽  
Faiza Rehman ◽  
Sajid Umair ◽  
Safdar Abbas Khan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Cloud Storage ◽  
Personal Data ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
The People

The novel advances in the field of Information Technology presented the people pleasure, luxuries and ease. One of the latest expansions in the Information Technology (IT) industry is Cloud Computing, a technology that uses the internet for storage and access of data. It is also known as on-demand computing. The end user can access personal data and applications anywhere any time with a device having internet. Cloud Computing has gained an enormous attention but it results in the issues of data security and privacy as the data is scattered on different machines in different places across the globe which is a serious threat to the technology. It has many advantages like flexibility, efficiency and scalability but many of the companies are hesitant to invest in it due to privacy concerns. In this chapter, the objective is to review the privacy and security issues in cloud storage of Big Data and to enhance the security in cloud environment so that end users can enjoy a trustworthy and reliable data storage and access.

Security in Mobile Cloud Computing

2015 ◽  
pp. 1548-1560
Author(s):  
Hero Modares ◽  
Jaime Lloret ◽  
Amirhossein Moravejosharieh ◽  
Rosli Salleh
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Security And Privacy ◽  
Mobile Cloud ◽  
Mobile Environment ◽  
Sensitive Data ◽  
It Industry ◽  
The Public ◽  
Security Issues ◽  
Cloud Applications

Cloud computing is a new and promising technology that is transforming the paradigm of traditional Internet computing and probably the whole IT industry. Cloud computing is predicted to expand in the mobile environment leveraging on the rapid advances in wireless access technologies. These mobile applications are built around mobile cloud computing techniques and models. In the Mobile Cloud environment, users can remotely store their data as well as enjoy high quality on-demand cloud applications without the limitations of having to purchase and maintain their own local hardware and software. However, data security is still a major concern and is the main obstacle preventing cloud computing from being more widely adopted. This concern originates from the fact that sensitive data stored in the public clouds is managed by commercial service providers who might not be totally trustworthy. As such, there are several security and privacy issues that need to be addressed. This chapter gives an overview on the cloud computing concept followed by a description on mobile cloud computing and the different security issues pertinent to the mobile cloud computing environment.

scholarly journals Security Enhancement and Privacy Preserving Of Big Data

2019 ◽  
Vol 8 (10) ◽  
pp. 1754-1758
Keyword(s):  
Big Data ◽  
Social Networking ◽  
Social Networking Sites ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Security Enhancement ◽  
The People ◽  
Data Scientist

Big data is gaining the popularity among the data scientist and the people from the Biology related disciplines. Big Data is very huge in volume and comes very fast from various sources. Millions of tweets or posts are generated per second on social networking sites. Big data has many issues of i.e. nature, storing, management, and processing, privacy and security in disclosing of attributes of the sensitive data in data of healthcare etc. For maintaining the privacy there are k-anonymity, psensitive k-anonymity, l-diversity, t-closeness, and k-concealment ways. In this paper an anonymity algorithm is proposed which will be used to enhance the security and privacy preserving of sensitive attributes of big data.

Sign in / Sign up

Export Citation Format

Share Document