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ASSIGNMENT 2 FRONT SHEET
Qualification BTEC Level 5 HND Diploma in Computing Unit number and title Unit 06: Planning a computing project Submission date 09 /12/2023 Date Received 1st submission Re-submission Date Date Received 2nd submission Student Name Nguyen Minh Anh Student ID BH Class SE06203 Assessor name Nguyen Van Toan Student declaration I certify that the assignment submission is entirely my own work and I fully understand the consequences of plagiarism. I understand that making a false declaration is a form of malpractice. Student’s signature Anh Grading grid P5 P6 P7 P8 M3 M4 D
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I. Introduction
This research delves into the important intersection between Big Data storage systems and cybersecurity risks. The growing importance of Big Data in business brings serious threats to data security, putting companies and individuals at risk. The misuse of personal data and the rise in sophisticated cyberattacks highlight the complexity of cybersecurity challenges. The report highlights the urgent need to understand and address cybersecurity risks associated with both cloud-based and local Big Data storage systems. The increasing volume of data, combined with inadequate awareness and the potential for misuse, creates vulnerabilities that pose risks to cybersecurity. The analysis includes evolving attack methods, exploited vulnerabilities, and changes in data security threats over time. In addition to highlighting current challenges, the report also predicts future dangers arising from technological advances, emphasizing the importance of protecting critical data and systems. Solutions and limitations to mitigate these security risks are explored with the aim of providing a comprehensive and secure approach. The study not only provides an overview of cybersecurity risks in local and/or cloud-based Big Data systems but also suggests strategies to avoid risks and solve problems quickly. comprehensive way. Overall, the report contributes to understanding the evolving landscape of cybersecurity risks in the context of Big Data storage systems and highlights the need for continuous improvements in security capabilities.
1. Project purpose:
Our projects in the field of Academic are designed with the main aim of improving the quality of education and research, and supporting political and social decisions through the use of big data.. Below are the detailed purposes of the project:
- Improve the quality of education:
- Purpose : Develop tools and methods to use big data to improve the quality of education at all levels.
- Means: Use data on academic activities, test results, and study habits to analyze trends and recommend curriculum and training improvements.
- Support for Research and Academic Development:
- Purpose : Create data sources and tools to support research and development in various academic fields.
- Media: Process data to produce reports, research articles, and scholarly resources that support the research community.
- Political and Social Decision Support:
- Purpose: Use data to provide academic information to support political and social decisions in the field of education.
- Means : Analyze data on academic performance, educational quality, and other educational issues to make assessments and policy recommendations.
- Explore New Thinking and Creative Perspectives:
- Purpose: Search and develop new aspects in the academic field through the use of big data.
- Means : Analyze data to identify trends, relationships, and creative thinking abilities, thereby creating new ideas and different perspectives. This project's main aim is to make a positive contribution to the academic field, providing tools to support both teaching and research processes, and supporting political and social decisions in improving the system education.
2. Project Objectives:
Our project, focusing on the Academic field, has a detailed and complete goal to meet the needs and make a positive contribution to the education and research community. Below are details of the project's goals:
- Improving the Quality of Education:
- Goal: Develop a large data system to track and evaluate student learning performance, helping schools and teachers better understand challenges and opportunities in the teaching process.
- Implementation Plan : Collect data on scores, learning activities, and class participation to create an easy-to-read dashboard that provides detailed information about student progress.
- Support for Research and Academic Development:
- Goal: Build a large academic database to support research and development in diverse fields, from social sciences to natural sciences.
- Implementation Plan: Organize data from diverse sources such as scientific articles, academic research, and statistical data to create a diverse and reliable academic resource
- 3. Political and Social Decision Support:
II. Devise comprehensive project plans for a chosen
scenario, including a work and resource allocation
breakdown using appropriate tools. (P5)
1. Overview:
a. Project Overview: MAIN TARGET This project focuses on researching and evaluating cybersecurity risks related to large data storage systems on both local and cloud. Main goals include:
❖ Cyber Security Risk Assessment - Big Data Storage Systems:
Target:
- Identify and analyze current cybersecurity risks for big data storage systems (Big Data) both local and cloud.
- Assess the severity of each risk and their impact on the entire system. Step 1: Collect Information ➢ Local Big Data Storage System:
- Determine the local system architecture.
- Collect information about current security measures.
- Determine the type of big data stored.
➢ Cloud Big Data Storage System:
- Identify cloud service provider and system architecture.
- Check the cloud provider's security infrastructure.
- Multi-site infrastructure evaluation. Step 2: Risk Classification ➢ Local Storage:
- Possibility of Data Loss:
- Risks due to hardware errors or damage leading to data loss.
- Internal Network Attack:
- Risk from internal employees who may intend to sabotage or steal information. ➢ Cloud Storage:
- Violation of Access Management:
- Risks from not controlling access to data in the cloud environment.
- Cloud Service Attack:
- Risks from targeted attacks on cloud infrastructure. Step 3: Assess Severity ➢ Determine Evaluation Criteria:
- Evaluated according to criteria such as economic impact, reputation, and legal compliance. ➢ Severity Rating:
- Determine the severity of each risk based on assessment criteria.
- Prioritize risks with high severity. Step 4: Build an Evaluation Table Number (^) Risk Classify Severity Precautions
Target:
- Research the historical development of cybersecurity risks related to big data storage systems (Big Data).
- Understand how risks change over time and identify the key points influencing these developments. Step 1: Collect Historical Data ➢ Important Security Events:
- Identify and collect information about important cybersecurity events related to Big Data storage systems. ➢ Technology Change:
- Evaluate major changes in technology related to big data storage. Step 2: Identify Critical Stages ➢ Establishment Period (Before 2010): Understand the origins and early development of big data storage systems. ➢ Acceleration Period (2010-2015): Identify new business models and significant increases in data capacity and scale. ➢ Cloud Transition (2015-2020): Research the transition from local to cloud storage and its impact on cybersecurity. ➢ Rising Challenges (2020-present): Assesses emerging challenges, including increasing scale and complexity of attacks. Step 3: Analyze Change ➢ Technology Factor: Assesses the evolution of big data storage technology and how it impacts cybersecurity. ➢ Increasing Data Scale: Analyze the impact of increasing data scale on management and security. ➢ Migrating to the Cloud: Understand the challenges and benefits that migrating storage to a cloud environment brings. ➢ The Challenge of Enhancing Security (2020-present): Classifies and assesses the new challenges facing cybersecurity in today's big data landscape. Step 4: Synthesize and Draw Conclusions ➢ Synthesize the information collected to build a comprehensive view of the historical development of cybersecurity risks related to Big Data storage systems. ➢ Draw important conclusions and propose adjustments and improvements in cybersecurity strategy.
Step 5: Report and Share ➢ Prepare a detailed report analyzing historical developments and the most important insights. ➢ Share reports with stakeholders and dialogue to ensure common understanding and engagement in aligning cybersecurity strategy. Conclude: Analyzing the historical evolution of cybersecurity risks in the big data storage sector will provide an in-depth understanding of risk and volatility in the industry. This helps organizations be better prepared and more effective in facing today's cybersecurity challenges.
➢ Predicting Future Cyber Security Risks
Target:
- Predict potential future cybersecurity risks associated with large data storage systems.
- Consider technological advances and industry trends that may impact cybersecurity. Step 1: Analyze Industry Trends ➢ The Evolution of Storage Technology: Assess the evolution of big data storage technology and how it may create new risks. ➢ Mobile Trends: Analyzing the impact of mobile trends on the cybersecurity of big data storage systems. ➢ The Rise of Artificial Intelligence (AI) and Machine Learning: Examines how AI and machine learning can create both new risks and security solutions. Step 2: Predict Potential Risks ➢ Enhanced Attack Technology: Anticipate advances in attack technology, including new malware and attack techniques. ➢ Internal Risks: Consider risks that may arise from within the organization, including employee risks and access management. ➢ Switching Technology Partners: Anticipate risks that may stem from switching technology partners and dependence on third parties.
➢ Access Rights Management: Implement a strict access rights management system to ensure only authorized users can access important data. Step 2: Protect Against Internal Network Attacks ➢ Employee Education: Organize periodic training sessions to increase cybersecurity awareness and reduce risks from internal users. ➢ Internal Behavioral Monitoring: Use internal behavioral monitoring tools to detect suspicious employee behavior. Step 3: Protect Against Foreign Attacks ➢ Firewall and Virtual Private Network (VPN): Use a firewall and connect via VPN to protect your network from outside attacks. ➢ Recommended System Updates: Ensure that systems are kept up to date with the latest security patches to protect against known vulnerabilities. Step 4: Deal with Future Risks ➢ Continuous Research and Development: Organize research and development projects to respond to new risks and predict attack trends. ➢ Continuous Monitoring Mode: Implement continuous monitoring mode to detect suspicious activities early and handle them Step 5: Ensuring the Security of the Cloud System ➢ Cloud Access Control: Strictly manage access to data in the cloud environment. ➢ Data Encryption in the Cloud: Use data encryption in the cloud environment to protect important information. Step 6: Periodic Backup Mode ➢ Recommended System Backup: Organize a regular backup mode to ensure data safety and quick recovery after incidents. ➢ Periodic Tests: Perform periodic tests to ensure that the backup process is working properly and that data is recoverable. Step 7: Periodic Review and Update ➢ Periodic Security Reviews: Organize periodic security reviews to ensure that security measures remain effective.
➢ Update Security Strategy: Based on assessment and changes in the security environment, periodically update the cybersecurity strategy. Conclude: These security measures aim to increase the security of large data storage systems, protect critical information and minimize risks from both internal users and external attacks. Regular monitoring, evaluation, and updating processes will help maintain the safety and effectiveness of your security strategy. PROJECT SCOPE: SYSTEM IDENIFICATION: ❖ Target: Store and analyze data from the organization's large data storage systems both locally and in the cloud. Specific work: ➢ Identify Data Sources: Evaluate and identify data sources from local and cloud storage systems. ➢ Database Analysis: Create database analysis models to understand the structure and relationships between components. ➢ Build Storage Process: Develop effective data storage process for both local and cloud. COMPATIBILITY: ❖ Target: Ensure compatibility between storage systems and other elements in the IT infrastructure. ❖ Specific work: ➢ Check Current Compatibility: Perform checks on current compatibility between systems and other components in the IT infrastructure. ➢ Adjust Link Protocol: If necessary, adjust link protocol to ensure compatibility between systems. ➢ Perform Compatibility Testing: Organize tests to ensure compatibility under different conditions. PREVENTION SYSTEM: ❖ Target : Develop preventative measures to minimize cybersecurity risks.
- Evaluate results and performance.
- Prepare detailed reports and communicate with stakeholders.
RESEARCHERS:
Team Leader:
- Name: Nguyen Minh Anh Role: Team leadership, management and strategic decision making. Team Members:
- Name: Tran Huu Duy Role: Cyber Security Expert Duties: Analyze network security risks, develop preventive measures.
- Name: Le Thi Mai Role: Big Data Storage Specialist Duties: Identify and analyze large data storage structures, recommend improvements to the storage system.
- Name: Hoang Van Tam Role: Cloud Computing Expert Mission: Research and deploy security solutions for cloud environments, ensuring compatibility.
- Name: Nguyen Thi Bich Ngoc Role: Data Analyst Task: Analyze specifically the structure and relationships between data in the system.
- Name: Tran Van Tuan Role: Data Analyst Duties: Support in the data analysis process, perform compatibility tests. Communication and Group Meeting Schedule: Time: Weekly on weekends. Means of Communication : Online meetings via tools such as Zoom. Duties: Discuss progress, answer questions, and suggest improvements.
PROJECT SCHEDULE:
➢ Cyber Security Risk Assessment:
- Research and evaluate current cybersecurity risks in large data storage systems both locally and in the cloud.
- Analyze existing types of attacks and security vulnerabilities. ➢ Analysis of Development Over Time:
- Research the historical development of risks to understand changes and adjustments in attack methods. ➢ Forecasting Future Risks:
- Anticipate potential future cybersecurity risks, considering technological advances and industry trends. ➢ Security Measures:
- Identify necessary security measures to mitigate current risks and prevent future vulnerabilities. Project scope: ➢ Define the System:
- Store and analyze data from the organization's large data storage systems, both local and cloud.
- Evaluate compatibility between storage systems and other elements in IT infrastructure. ➢ Prevention System:
- Develop preventive measures to minimize cybersecurity risks. Deliverables: ➢ Cybersecurity Ris Assessment Report:
- Describe and analyze current risks in big data storage systems.
- Propose preventive and improvement measures. ➢ Report Development Over Time:
- Summary of history of risks and changes in attack strategies.
- Provide comments on security risk trends. ➢ Predicting Future Risks and Preventive Measures:
- Predict risks that may appear in the future.
- Identify preventive measures to minimize potential risks. ➢ Security Improvement Plan:
- Develop a security improvement plan based on research results.
- Propose specific steps to implement improvements. Expected results:
- Provides a comprehensive view of cybersecurity risks related to large data storage.
- Diagnose and mitigate current risks, while predicting and preparing for future risks.
- Propose specific plans to improve the security of large data storage systems.
2. Project communication plan
