Law and Digital Security

Assignment Overview:

Utilising the Power of Big Data Analytics to Strengthen Cybersecurity

Big data refers to massive, complicated datasets from various sources, such as social media, IoT devices, sensors, and online transactions. Due to its ability to deliver valuable insights and enhance decision-making processes in various fields, the analysis of large datasets has gained prominence in recent years. In cybersecurity, big data analytics is vital in bolstering defences against changing threats and safeguarding sensitive data.

Organisations can improve their capacity to identify, prevent, and respond to cyberattacks by employing big data analytics in cybersecurity. The large volume of network-generated data can be utilised to uncover patterns, abnormalities, and potential compromise signs. This enables proactive threat identification and allows cybersecurity professionals to respond effectively and quickly. Jang-Jaccard, J., Nepal, S., & Chen, S. (2014). Big data analytics for cyber security. In Proceedings of the 2014 IEEE International Congress on Big Data (pp. 94-101). IEEE. doi: 10.1109/BigData.Congress.201

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Tasks:

Critical review, summarize and evaluate the topic on the following outline:

1.

Evaluation of Big data analytics and how its strengthen cybersecurity.

2.

Key concepts and challenges in big data analytics for cybersecurity tools.

3.

Compare two data sets which are used to implement cybersecurity tools.

4.

Review of existing research in big data-driven cybersecurity.

5.

Perform analysis of big data analytics techniques for threat detection and prevention. Discuss the role of data privacy and ethical considerations in big data-driven cybersecurity.

Report Format and Content Requirement

I.

Introduction. In this section, write an introduction about Big data analytics and its importance in cybersecurity. Include research objective(s) and scope. Your introduction should be at least two paragraphs long (about 300 words), refer to task 1. Also, properly paraphrase and/or write at least two in-text citations in this section.

II.

Literature Review. This section is an evaluative report of information based on printed and/ or online sources. The review should contain a description, summary, evaluation, and comparison of the study with previous research on cybersecurity and big data. Support this section with properly referenced citations. If you present this section in a tabular format, precede the table with a short introductory paragraph, and refer to tasks 2-4.

III.

Analysis / Discussion. In this section, performs an analysis of big data analytics techniques for threat detection and prevention. Discuss the role of data privacy and ethical considerations

in big data-driven cybersecurity, and refer to task 5.

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V.

Conclusion. This section of the report should include a summary of key findings from the analysis and discussion. Recommendations for leveraging big data analytics to enhance cybersecurity effectiveness.

V.

Reference List. List down all the references you cited in the report using the Harvard style of referencing. Make sure that the references you listed match the citations you made in the report.