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ISYS326-Major Issues That Are Faced Due To Data Security

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You are required to prepare a report based on your collected paper on Data Security. Your report must be supported by references through additional readings. Your active participation in the class will also be taken into account & may be assessed (only for on campus students).



Data security is a way to protect the sensitive and confidential data stored over the digital network. Data security assures that no unauthorised user is allowed to access the data. In short it can be stated, that data security is used to protect the data from being breached. It is every important to undertake data security measures so that data is accessed only by valid user (Harfoushi, et. al, 2014). In this report, a detail description about the overview of the project and its scope is defined. This report also covers the major issues that are faced due to data security.

Purpose- The purpose of this report is to have a clear understanding about data security.

Scope- This report has a wide scope as it will be helpful for the organisation and other people to understand the importance of data security.

Main issues and problems

Some of the common issues that are faced due to data security are:

  • It is difficult to map out that data is used by the valid user and assure that information is accessed by authenticated users only (Patil and Seshadri, 2014).
  • The problem that is faced in data security is making sure that all the data is treated equally, this can be evaluated by data asset valuation process (Farooq, 2017).
  • Security triage is one of the issues as the organisations completely rely for maintaining the security of their sensitive information (Patil and Seshadri, 2014).
  • Higher vulnerabilities of fake data generation.
  • Difficult to map the untrusted users.

Critical analyses of all relevant issues 

According to (Meijer, et. al, 2014), it was found that data security issues are one of the primarily concern of the organisation. Unauthorised access to the information is one of the issues as it allow unauthorised user to read the sensitive information without any permission. This leads to lack of confidentiality as it allows users to access the data without any permission (Oracle, 2017). Other than that, it is observed that data tampering is also increasing. In this data is modified by third party user without any prior information. Some third party users assess the data and modify it before transmitting it (Thota, Manogaran, Lopez and Vijayakumar, 2018).

In the views of (Patil and Seshadri, 2014), lack of accountability is the issues due to which security breaches are increasing. Thus, it is necessary to keep a track and monitor all the operations. This can be done by maintaining an access control list which defines a list of valid user who is allowed to access the data (Thayananthan and Albeshri, 2015). The other issue I observed in the recent years is denial of service in this valid user is not allowed to access the information that causes lack of availability.

According to (Huang,  Liu, Mao, Chen and Li, 2017), to protect the data various cryptography protections are used. Thus, there are various problems that are faced due to cryptographic protection. It slows down the speed due to huge data chunks. The other barrier is data security is data provenance, in this it becomes difficult as some unauthorised users change the metadata which leads to generation of wrong data sets (Thayananthan and Albeshri, 2015). Thus, it becomes difficult to find out the actual information.

It can be stated that, administrators hold all the keys but still hackers can gain unrestricted access. Thus, it is necessary to have a strong access control so that data can be protected and access only by valid user 



It is recommended that, data security can be achieved by encrypting the data. So, that even if data is hacked by the third part user they are not able to read the actual information. Apart from that it is recommended that, backup of data should be maintained. The software and operating system should be updated so that it can discovery all the possible threats and vulnerabilities. The system should make use of firewalls, antiviruses and intrusion detection to protect the data. It is also recommended, that access to information should be allowed to only valid user by making sure that no unauthorised users access the data


From this report, it can be concluded that enterprises should spend money and time for data protection. Data security is the basic need to avoid the financial loss of an organisation and making sure that customer expectations are meet. Data security assures that information remain confidential, integrated and available to only valid user. It is necessary to have a strong data security plan so that all the sensitive information is protected. It is important as now days all the organisation rely on the network for their data. Data security is important as it blocks all the attacks that can be possible due to unauthorised users. It makes sure that no sensitive information is lost. It assures that files are not corrupted or misused from the network. This report helped in having a detail study about the issues and problems that are faced due to data security. 




from Accessed on 20 aug 2018

Harfoushi, O., Alfawwaz, B., Ghatasheh, N.A., Obiedat, R., Mua’ad, M. and Faris, H (2014). Data security issues and challenges in cloud computing: a conceptual analysis and review. communications and Network, 6(01), p.15.

Huang, Z., Liu, S., Mao, X., Chen, K. and Li, J (2017). Insight of the protection for data security under selective opening attacks. Information Sciences, 412, pp.223-241.

Meijer, H.J.M., Gates III, W.H., Ozzie, R.E., Bergstraesser, T.F., Cheng, L., Connolly, M., Gounares, A.G., Mishra, D.P., Snyder Jr, I.L. and Zaner-Godsey, M., Microsoft Corp (2014). Data security in an off-premise environment. U.S. Patent 8,705,746.

Oracle, (2017). Data Security Challenges. Available from Accessed on 20 aug 2018.

Patil, H.K. and Seshadri, R. (2014). Big data security and privacy issues in healthcare. In Big Data (BigData Congress), 2014 IEEE International Congress on (pp. 762-765). IEEE.

Thayananthan, V. and Albeshri, A. (2015). Big data security issues based on quantum cryptography and privacy with authentication for mobile data center. Procedia Computer Science, 50, pp.149-156.

Thota, C., Manogaran, G., Lopez, D. and Vijayakumar, V. (2018). Big data security framework for distributed cloud data centers. In Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications (pp. 589-607). IGI Global.

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