Privacy And Security Issues In Big Data - Challenges, Technologies, And Applications Essay.

Discuss about the Privacy and Security Issues in Big Data.

Here in this report, we are going to discuss about an essential topic of privacy and security issues of Big Data. Big data is actually a term that describes large volume of data that can be both structured and unstructured. But it is not necessary that this large amount of data will be important. Big data can be analyzed for visions that lead to better decisions and strategic business activities. This is an emerging trend and an act to gather and store large amounts of information. The definition of big data consists of three important Vs such as Volume, Velocity and Variety. Here volume is related to amount of data. Organizations collect data from number of sources such as business transactions, social media and information from sensor. On other side, velocity is related to data streams. Here RFID tags and sensors are driving the need to deal with torrents of data. Next is variety, it means data comes in different formats such as structured, numeric data in conventional databases to unstructured text documents such as video, audio and financial statements. The purpose of making this report is to discuss about some essential concepts of challenges & problems, relevant technologies and its applications and clarification about vague areas. (Gordon, 2013)

This is an important segment of this report and here we will emphasize on challenges of big data regarding privacy and security.

Big data security and privacy has various challenges and problems. As we know that in big data, large amount of information is stored and due to this big data problem, various issues of security and privacy are faced that are listed as below:

• The main security challenge is regarding single level of protection which is not so much recommended in distributed systems that contain big data. (com, 2016)
• Non-relational databases are evolving and makes difficult for security solutions to continue according to demands.
• For big data security and privacy management, there is requirement of additional security measures but those are not available easily.
• Other big security challenge that is faced in big data is regarding validation of large amount information. Validation is necessary to identify that data is trustworthy and accurate. But this security option is not available in big data.
• IT specialists who are practicing information mining, can collect personal data unethically without permissions of users and without notifying them. It is a big security issue of big data technology.
• IT specialists who are rely on big data, for them security become dated and inaccessible due to access control encryption.
• Access controls are not established in some organizations to divide the level of confidentiality. This is lead to lack of security and privacy in big data. Due to this unauthorized users can access information easily.
• Detailed audits that are highly recommended are not implemented on big data, due to large amount of data in it. It also leads to violation of privacy and security of big data.
• Due to size of big data, origins of this technique cannot be consistently monitored and tracked.

Therefore, these are some important challenges of security and privacy in big data. The resolution of these challenges is required to get secure big data services.

There are various technologies available that can be used to maintain security and privacy of Big data. Here in this segment, we will emphasize on those technologies.

Application Software Security
There are various open source software solutions available that are used to manage large amount of data. But it is possible that some open source software solutions may contain virus or malware etc. In this case, it will be better to use secure version of application software solutions to manage big data.

Audit logging technologies are also considered important for maintaining security and privacy of Big Data. These logging technologies provides help to understand and monitor big data clusters. Apache Ozone is a technology that is used for maintaining security for Big Data. Auditing, maintaining and analyzing logs are done consistently in enterprise.

Challenges and Problems of Security and Privacy of Big Data

Hardware and software components are important for every system and these are important to maintain security and privacy of Big Data infrastructure. Patching must also be up to date on system and administrative privileges should be provided to limited users.

Control and Monitoring Account  

It is necessary for big data users to control and monitor accounts. In this case, there is requirement to use strong passwords and option for deactivate and inactive account in case of maximum attempts to log-in by users. Deactivation of account will prevent from unauthorized access of information by hackers.

These are relevant security and privacy techniques that must be used by users of Big Data to get prevention from vulnerable information security breach. Hadoop is also a well-known technology for managing big data by maintaining its security and privacy. Hadoop is an open source, java-based programming platform which is used to process and store a huge data sets in distributing computing environment. This platform is introduced by Apache Software Foundation. (Mayer-Schönberger, V. & Cukier, K, 2013)

The above discussed techniques to maintain security and privacy of Big Data has various applications. Not only Big Data issue, but also for other security breaches, these above discussed applications can be used for maintaining security and privacy of data. (SearchCloudComputing, 2016)

As we know that Big Data technology has become so much popular among IT experts for managing large amount of data. But, Big Data is a vague term for a massive occurrence and it has become a rapid obsession with entrepreneurs, governments and media. The main problem in Big Data that is not known to people exactly that there is lack of big insights and now main challenge is to resolve new problems and to find out new answers for solutions. (Markey, 2014)

On the behalf of this report, our feedback for colleagues is that, these discussed big data security and privacy challenges are required to consider seriously. The given relevant technologies can provide successful outcomes in case of Big Data, if these will be implemented properly.

After reading this report, our cohort colleagues are agreed with information and solutions of Big Data and according to them, these solutions will be useful for them to maintain security at their own level. The feed of colleagues is positive, so there is no needs to make refinements. (Mattsson, U. & Colby, 2016)

Big data technology has a wide scope, there are various things that are not yet cleared to its users. There are different reviews of Big Data Users, researchers about this concept. The students who have provided important information about Big Data, we would like to raise some questions of the behalf of that information. These questions are listed as below:

1. On which two platforms, Hadoop does work?
2. What are four Vs in Big Data?
3. How Big Data analysis helps in business to increase its revenue? (com, 2016)

Relevant Technologies and its Applications

In this segment of report, we will provide information about above asked questions and some other questions related to this report. (DeZyre, 2015).

Ques 1: On which two platforms, Hadoop does work?

Answer: Hadoop technique works on two major components such as HDFS i.e. Hadoop Distributed File System and Hadoop MapReduce which a java based programming paradigm.

Ques 2: What are four Vs in Big Data?

Answer: The four Vs of Big Data are volume i.e. scale of data, velocity i.e. streaming data analysis, variety i.e. different forms of data and veracity i.e. uncertainty of data. (Tutorialspoint.com, 2016)

Ques 3: How Big Data analysis helps in business to increase its revenue?

Answer: This is an important question that is raised by other students on the behalf of providing information about Big Data. Indeed, big data provides help to differentiate itself from other business organizations. For Example, Walmart is largest retailer in 2014 in terms of revenue because it is using data analytics for increasing its sales factor. There are various companies that are working on Big Data successfully by using Hadoop and these companies are Yahoo, Netfix, Amazon, eBay and Twitter. (Ap-institute.com, 2016)

Ques 4: List of applications wheren Big Data can be used?

Answer: The common use of Big Data is in business organizations to understand and targeting customers, to understand and optimize business processes, performance optimization and to make improvement in healthcare and public health. (Gholami, A. & Laure, 2016)

Conclusion

After this whole discussion about Big Data, we cans say that Big Data is a beneficial technique to provide to manage various business activities, besides this, security and privacy of data is also necessary. In this case, it will be effective to use above discussed relevant technologies to get rid of these security issues. 

References

FT.com. (2016). Big data: are we making a big mistake? Financial Times. Retrieved 23 September 2016, from https://www.ft.com/cms/s/2/21a6e7d8-b479-11e3-a09a-00144feabdc0.html

Markey, J. (2014). How to Manage Big Data’s Big Security Challenges. Data Informed. Retrieved 23 September 2016, from https://data-informed.com/manage-big-datas-big-security-challenges/

Mattsson, U. & Colby, J. (2016). Nine Main Challenges in Big Data Security | Data Center Knowledge. Data Center Knowledge. Retrieved 23 September 2016, from https://www.datacenterknowledge.com/archives/2016/01/19/nine-main-challenges-big-data-security/

Sas.com. (2016). What is Big Data and why it matters. Retrieved 23 September 2016, from https://www.sas.com/en_us/insights/big-data/what-is-big-data.html

SearchCloudComputing. (2016).What is big data ? – Definitionof Big Data. Retrieved 23 September 2016, from https://searchcloudcomputing.techtarget.com/definition/big-data-Big-Data

Tutorialspoint.com. (2016). Hadoop Interview Questions - tutorialspoint. Retrieved 23 September 2016, from https://www.tutorialspoint.com/hadoop/hadoop_interview_questions.htm

DeZyre. (2015).Top 100 Hadoop Interview Questions and Answers 2016. Retrieved 23 September 2016, from https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159

Ap-institute.com. (2016). How is Big Data Used in Practice? 10 Use Cases Everyone Must Read. Retrieved 23 September 2016, from https://www.ap-institute.com/big-data-articles/how-is-big-data-used-in-practice-10-use-cases-everyone-should-read.aspx

Gholami, A. & Laure, E. (2016). Big Data Security and Privacy Issues in the CLOUD. International Journal Of Network Security & Its Applications, 8(1), 59-79. https://dx.doi.org/10.5121/ijnsa.2016.8104

Mayer-Schönberger, V. & Cukier, K. (2013). Big data. Boston: Houghton Mifflin Harcourt.

Gordon, K. (2013). What is Big Data?. ITNOW, 55(3), 12-13. https://dx.doi.org/10.1093/itnow/bwt037

Big Data Hadoop: Aggregation Techniques. (2015). IJSR, 4(12), 432-435. https://dx.doi.org/10.21275/v4i12.nov151945