Friday, May 1, 2020

Studied For The Development Of This Report â€Myassignmenthelp.Com

Question: Discuss About The Studied For Development Of This Report? Answer: Introduction The case study, which has been studied for the development of this report mainly, deals with the issues concerned with the storage of huge amount of data, which is there to be accesses by public for the use in their business. The proper use of a Big Data analysis and storage server will be able to significantly benefit the organization. However, there are several security issues present with the use and accessibility of big data that ultimately ends with the cause of data breach and loss in data . The case study has been compiled to deal with the threats and issues, which are faced by ENISA (Wu et al., 2014). The key threat agents of ENISA has also been discussed in the case study. This report discusses the procedures to implement to eliminate the threats from the data system and the various security issues associated with ENISA (Inukollu, Arsi Ravuri, 2014). The treat infrastructure of ENISA and the key threat agents of the organization has also been discussed. A detailed analysis of the ENISA case study has been discussed in the following sections. Overview and ENISA big data Infrastructure The following is a brief overview of the ENISA case study and provides an infrastructure diagram of the ENISA: Overview The ENISA case study is focused on the broader topic of big data with the implementation procedure and the threats associated with the use of big data. The rise in the problems associated with the security and data breaches is a matter of huge concern in todays world and thus proper measures has to be taken to minimize such risks and breaches. The case study deals with the different threats associated with the use of big data in todays technology and the significant roles, which are present in various aspects of the society (Wright De Hert, 2012). For a large data driven economics business the use of big data is of huge significance. In recent times big data has found its usage in the field of military institutions to fight terrorism and in the field of research work. Thus, it can be said that the technology offers a large number of advantages and can be considered a major source of data and information. However the large source of information has been found to be exposed to a numbe r of threats and has also received attacks form subsequent threat agents (Gonzalez et al., 2012). The systems associated with the big data can also be used in a wide range of applications. The case study has been constructed to understand the different threats already present in the system and the possible steps that can be taken to eliminate the threat agents associated with the use of big data. The case study also provides an overview of the risk management process and strategies for the elimination of the risks associated with the use of the big data technology (Theoharidou et al., 2013). The case study emphasizes the cloud storages as a major storage place for the big data. Cloud storage has always been considered to be associated with different types of risks and problems which needs to be eliminated for the safety of the data breach and for the minimization of data loss (Tan et al., 2014). The case study also provides a detailed description of the infrastructure architecture o f the big data storage modules, which comprises of a high-leveled conceptual model. The prominent layers in the big data architecture consists of the data sources, storage modules, computing models and the presentation layers. The big data taxonomy discussed in the case study provides a brief overview of the assets and the structure associated with big data (Theoharidou, Tsalis Gritzalis, 2013). The major components of any big data server is the analytics, data security and the structure to be followed for the privacy of the data. The infrastructure of the ENISA has been discussed below in the form of a diagram: Figure1: presentation of the ENISA big data security Infrastructure (Source: Created by Author) Top Threats associated with ENISA and their significance Security threats gets associated with any form of data storage. Hackers try to launch attacks on the data servers to gain access to a large amount of information (Seshardi et al., 2012). The following is the list of top threats, which are associated with the ENISA data servers: Leak in data servers due to the use of unsecure APIs big data servers are often built with less amount of security measure, which makes the attack based on the use of unsecure API causes data breaches. Direct injection of scripts are launched through the unsecured API and therefore are considered one of the major threats in the big data implementation. The assets, which are targeted by the hackers, are mainly big data analytics, computing and software models (Pearson, 2013). Lack in the designing of the security system of the big data servers can lead to a number of threats. The breaches make the data sets are filed up with redundant data representation, which makes the management of the data sources to be impossible. This redundancy clouds the fact that if any kind of data had been stolen from the data set or not. The targeted assets mainly include the applications and data from large organization (Pearson, 2013). Denial of service attack the denial of service attack is mainly aimed at making the available resources to be blocked by the use of unauthorized access into the system and generating random requests to different pages. The acknowledgements congest out the whole network and the network eventually breaks down. The attack also decreases the performance of the system. They are mainly attacked on the servers and the network which the organization is connected to (Pearson, 2013). Malicious software and code activity apart from all the threats that has been discussed the attack-generated form a malicious software or a malicious code produces the greatest threat to the data server. This is due to the fat that the malicious code could be programmed to do any kind of harm to the system without the knowledge of the user. The threats come in the form of small files and programs, which initiate the working process on its own and spreads throughput the network. These threats should be eliminated with highest priority (Roberts, Indermaur Spiranovic, 2013). Using unauthorized certificates generation of a set of unauthorized certificates and using them to gain access to the network can lead to a significant amount of data breach and data loss. They mainly target the software and hardware associated data (Roberts, Indermaur Spiranovic, 2013). Eavesdropping of the network intercepting the data flow in the network could lead to the form of data breach. These include login credentials and back end services (Roberts, Indermaur Spiranovic, 2013). Identity fraud accessing of sensitive information while being posed as someone else can be a form of data breach. This issue mainly deals with the loss in the personal information. Most significant Threat Out of the threats discussed in the above section, the threats due to the use of unauthorized certificates can be stated as the potential top threat in the big data server scenario. This has been stated as the major threat because the data security officer who is in charge of the whole system does not always check the use of certificates (Chen Zhao, 2012). This causes the data breach to get unnoticed until it is thoroughly checked. Moreover, the main target of this type of attack are the hardware and the software. These two are the main components in the system. It they get compromised the whole data system is compromised. The security manager should check this and proper measures should be implemented to reduce the security risks (Pavlyushchik, 2014). The general target of these type of attacks are the high profile companies and organizations. Business has found increasing use in modern technology and thus security protocols should be improvised Threat agents, impact and threat probability The major top threat agents that are associated with use of big data servers and the threats probability of the situation is discussed in the following list: Corporation the major threat concern of nay organization is the security concern of the big data in large corporation who target their competitors to gain knowledge of their strategies. They steal information form their servers and use them to gain profit from the loss of their competitors. Cyber criminals- thee most dangerous threat with the security of the big data for all organization is the threat from cyber criminals. They gain access to the big data servers with the help of the network. They mainly do this to benefit from the financial point of view. Thus proper intrusion management system can help in the elimination of such threats (Taylor, Fritsch Liederbach, 2014). Cyber terrorist cyber terrorist are very much similar to the cyber criminals with the only difference between them is that they do not pertain to a small area of attack. Their range of attack is wide spread. They mainly target important infrastructures like electricity distribution plant and military bases. This would in turn cause a wide spread panic attack on the nation. Script kiddies these are amateur hackers who has very little knowledge about the working of a hacking system. They play with small scripts which they inject into the network or the system and execute small attacks (Taylor, Fritsch Liederbach, 2014). Employees- working employees of an organization poses a serious threat for the organization. They always get access to all the important document and information of the organization and thus can launch an attack silently by leaking out sensitive information to the hackers who would benefit from the details. Nation states these are by far the most dangerous type of threat agent in the world. They have all types of resources in their hand and can launch an attack on any of the other nations without the nation even knowing about it. They are highly skilled and have the best tools at their dispose (Taylor, Fritsch Liederbach, 2014). Minimization of the Impact of the Threat To minimize the threats in the organization the following steps can be followed: Have an authorized access control for all the information present in the data server of the organization. As the storage of the informations are done on a cloud-based server, the information should be categorized into level wise distribution. This would enable the monitoring of the information easy for the security experts. Enabling of the use of cryptographic functions to store data in the server and during the transmission of data within the organizations network system. Use of proper cryptographic functions will disable the hackers from knowing the content of the information even if they are able to take out packets from the network stream. Implementation of better and innovative network systems in the organization would help them to control the inflow and outflow of the network traffic. Adding a network packet checker in the data stream of the organization will help them to monitor which is the unrequired packet that is being shared by the employees of the organization. Scheduled training of the training staff of the organization is important to make them understand the working procedure of the organization. They should be made known that keeping the information of the organization safe from the hands of the hackers is the top most priority. Threat and Probability trends The different threats that is associated with the use of big data servers and technology as attackers are planning new ways to attack the data servers in order to steal the data from the organizations. The threats and the probability of them occurring in the system needs to be reduced by the organization or they might suffer a huge loss of information and profit. Different security measures can be taken up by the organization to safe guard the data servers. For the complete elimination of the threats, the root cause of all these problems must be found and attended to. Improving ETL process The ENISA threat landscape or ETL has discussed about the different threats that is associated with the organization. The repost has a specific topic of discussion mainly the threats, which is associated with the information technology used by the organization (ENISA, 2017). The major drawback of the report is that there is only discussion about the threats, which is associated with the big data servers and the data sets. It is advisable to include a more detailed structure and information about the different risks, which has evolved over time. The ETL can be improved with the addition of different threats already associated with the big data servers and its mitigation remedies. The ENISA can follow the following recommendation to improve their ETL- Storing of any kind of small information, which may be useful during the documentation process (ENISA, 2017). Load data into the system systematically. However, it would take longer than usual, but would help in able to store the complete set of data without any mistakes. The organization should move onto use the Apache Hadoop software which provides a set of tools useful for the implementation of the data analysis and to understand the data that has already been collected (Cherdantseva et al,. 2016). Current State of IT security The ENISA organization has been found to be not satisfied with the information structure that they are following. Threats associated with the security system still pertains to the same level (Von Solms Van Niekerk, 2013). The security features of the organization needs to be upgraded and different features and protocols needs to be included in the system to keep the data safe form the hands of the hackers. The report has discussed a number of different security measures, which can be implemented. One of the major threat that is associated with the use of big data servers is that the redundancy of information is not always checked. This could help in reducing the storage space, which in turn would make the management of the information easy (Albakri et al., 2014). The use of unsecured API also should be avoided with highest priority. Moreover, to be on the safe side proper intrusion detection system should also be implemented into the system to have an extra layer of security. Conclusion Form the above discussion it can be started that the ENISA big data infrastructure should go under the thorough checking of the security protocols and the measures that has already been taken in the organization. The report has identified major threats that are associated with the big data system. The report also suggests the different techniques that are used for the minimization of the risks. Big data has found increasing use in modern technology and thus security protocols should be improvised. References Albakri, S. H., Shanmugam, B., Samy, G. N., Idris, N. B., Ahmed, A. (2014). Security risk assessment framework for cloud computing environments. Security and Communication Networks, 7(11), 2114-2124. Big Data Threat Landscape Nursing. (2017). Enisa.europa.eu. Retrieved 6 September 2017, from https://www.enisa.europa.eu/publications/bigdata-threat-landscape Brucker, A. D., Hang, I., Lckemeyer, G., Ruparel, R. (2012, June). SecureBPMN: Modeling and enforcing access control requirements in business processes. In Proceedings of the 17th ACM symposium on Access Control Models and Technologies (pp. 123-126). ACM. Chen, D., Zhao, H. (2012, March). Data security and privacy protection issues in cloud computing. In Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on (Vol. 1, pp. 647-651). IEEE. Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H., Stoddart, K. (2016). A review of cyber security risk assessment methods for SCADA systems. computers security, 56, 1-27. Gonzalez, N., Miers, C., Redigolo, F., Simplicio, M., Carvalho, T., Nslund, M., Pourzandi, M. (2012). A quantitative analysis of current security concerns and solutions for cloud computing. Journal of Cloud Computing: Advances, Systems and Applications, 1(1), 11. Inukollu, V. N., Arsi, S., Ravuri, S. R. (2014). Security issues associated with big data in cloud computing. International Journal of Network Security Its Applications, 6(3), 45. Pavlyushchik, M. A. (2014). U.S. Patent No. 8,713,631. Washington, DC: U.S. Patent and Trademark Office. Pearson, S. (2013). Privacy, security and trust in cloud computing. In Privacy and Security for Cloud Computing (pp. 3-42). Springer London. Roberts, L. D., Indermaur, D., Spiranovic, C. (2013). Fear of cyber-identity theft and related fraudulent activity. Psychiatry, Psychology and Law, 20(3), 315-328. Seshardi, V., Ramzan, Z., Satish, S., Kalle, C. (2012). U.S. Patent No. 8,266,698. Washington, DC: U.S. Patent and Trademark Office. Stallings, W., Tahiliani, M. P. (2014). Cryptography and network security: principles and practice (Vol. 6). London: Pearson. Tan, Z., Jamdagni, A., He, X., Nanda, P., Liu, R. P. (2014). A system for denial-of-service attack detection based on multivariate correlation analysis. IEEE transactions on parallel and distributed systems, 25(2), 447-456. Taylor, R. W., Fritsch, E. J., Liederbach, J. (2014). Digital crime and digital terrorism. Prentice Hall Press. Theoharidou, M., Tsalis, N., Gritzalis, D. (2013, June). In cloud we trust: Risk-Assessment-as-a-Service. In IFIP International Conference on Trust Management (pp. 100-110). Springer, Berlin, Heidelberg. Von Solms, R., Van Niekerk, J. (2013). From information security to cyber security. computers security, 38, 97-102. Wright, D., De Hert, P. (2012). Introduction to privacy impact assessment. In Privacy Impact Assessment (pp. 3-32). Springer Netherlands. Wu, X., Zhu, X., Wu, G. Q., Ding, W. (2014). Data mining with big data. IEEE transactions on knowledge and data engineering

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.