A-Software-Engineering-Framework-for-Enhancing-Cyber-Security-in-Network-Systems (1) (2).pptx
- 1. SCIENT INSTITUTE OF TECHNOLOGY (AN UGC AUTONOMOUS) Approved by AICTE, and Affiliated with JNTU Hyderabad ( Ibrahimpatnam, R.R. Dist., Telangana,501506. ESTD: 2001) 2024-2025 Technical Seminar On A Software Engineering Framework for Enchancing Cyber Security In Network System UNDER THE GUIDANCE OF: Mr. G. Mahendar Associate Professor Dept of CSE Presented by: K.Thirumalesh – 21C01A0547 Technical Seminar Incharge: Ms.B.Ramya Sree Assistant Professor Dept of CSE
- 2. Introducation • Addresses the rise in cyberattacks. • Proposes a proactive framework combining software engineering with security.
- 3. Literature survey Mohammed, Mohammed., Abdalla, I., Abdalla, Musa. (2025). 1. Enhancing Network Security using Possibility Neutrosophic Hypersoft Set for Cyberattack Detection: The paper does not present a software engineering framework specifically for enhancing cybersecurity in network systems. Instead, it focuses on the Possibility Neutrosophic Hypersoft Set for Cyberattack Detection (pNHSS-CAD) technique to improve network security through feature selection and classification. Pushpita, Chatterjee., Danda, B., Rawat. (2024). 2. Security Enhanced Framework for Network Access Control in Distributed Software-Defined Networks: The paper proposes a security framework for Software-Defined Networks (SDN) that enhances cybersecurity through multi-layered authentication, role-based access control, and secure communication encryption, addressing vulnerabilities and unauthorized access while ensuring data confidentiality and integrity in network systems. ccc The paper presents a novel cyber security framework integrating authentication, intrusion detection, and deep learning-based risk prediction using a Weighted Recurrent Neural Network, enhancing security in network systems by effectively predicting and mitigating cyber threats
- 4. Problem statement • Defines specific challenges in securing network systems. • Emphasizes the need for integrating software engineering principles.
- 5. Objective • Propose a framework that ensures: - Adaptability - Scalability - Real-time threat detection. • Provide measurable metrics for effectiveness.
- 6. Architecture • Key components: - Threat Detection - Risk Assessment - Data Protection - Incident Response. • Tools, technologies, and communication protocols used.
- 7. Design • Detailed diagrams: - UML (Class, Sequence, Use Case Diagrams). - Data/process flow charts. • Includes AI/ML integration for predictive threat detection.
- 8. Implementation • Steps to implement the framework. • Tools and programming languages used. • Case studies demonstrating real-world application. • Challenges faced and solutions provided.
- 10. Importance of Cyber Security in the Digital Age 1 Data Breaches Cyberattacks can lead to data breaches, compromising sensitive information and harming individuals and organizations. 2 Financial Losses Organizations can face significant financial losses due to downtime, recovery costs, and reputational damage. 3 National Security Cyberattacks pose a serious threat to national security, impacting critical infrastructure and government operations.
- 11. Challenges in Securing Network Systems Complexity Modern network systems are highly complex, making it difficult to secure every point of vulnerability. Evolving Threats Cybercriminals constantly develop new attack methods, requiring security measures to be constantly updated. Resource Constraints Organizations may face resource constraints in terms of budget, staff, and expertise, hindering their ability to implement comprehensive security solutions.
- 12. Limitations of Traditional Security Approaches Reactive Traditional approaches often rely on reactive measures, responding to attacks after they occur. Siloed Security Security measures are often implemented in silos, failing to consider the interconnectedness of network systems. Manual Processes Many security tasks are still performed manually, prone to human error and inefficient for handling large-scale networks.
- 13. Introducing the Software Engineering Framework 1 Proactive Approach The framework promotes a proactive approach to cybersecurity, addressing vulnerabilities before they are exploited. 2 Holistic Security It emphasizes holistic security, considering the entire network system and all its components. 3 Automation Automation is leveraged to streamline security tasks, enhancing efficiency and reducing human error.
- 14. Key Components of the Framework Threat Modeling Identifying potential threats and vulnerabilities to inform security design. Secure Development Incorporating security considerations throughout the software development lifecycle. Continuous Monitoring Real-time monitoring of network activity to detect and respond to security incidents. Incident Response Effective procedures for handling security incidents to minimize damage and restore operations.
- 15. Threat Modeling and Risk Assessment Identify Threats Categorize potential threats based on their source, motivation, and capabilities. Analyze Vulnerabilities Identify weaknesses in network systems that could be exploited by threats. Assess Risks Evaluate the likelihood and impact of threats exploiting vulnerabilities.
- 16. Secure Software Development Life Cycle Security Requirements Define security requirements at the beginning of development. Secure Coding Practices Implement secure coding practices to minimize vulnerabilities. Code Review Perform code review to identify and address security issues. Security Testing Conduct rigorous security testing to validate the effectiveness of security measures.
- 17. Continuous Monitoring and Incident Response Real-Time Monitoring Continuously monitor network activity to detect suspicious behavior and security incidents. Incident Response Develop and implement procedures for handling security incidents in a timely and effective manner.
- 18. Case Studies and Successful Implementations Numerous organizations have successfully implemented this software engineering framework to enhance their network security, demonstrating its effectiveness in mitigating risks and protecting critical assets.
- 19. References Mohammed, Mohammed., Abdalla, I., Abdalla, Musa. (2025). 1. Enhancing Network Security using Possibility Neutrosophic Hypersoft Set for Cyberattack Detection: Pushpita, Chatterjee., Danda, B., Rawat. (2024). 2. Security Enhanced Framework for Network Access Control in Distributed Software- Defined Networks: R., Lakshman, Naik., Sourabh, Jain. (2024). 3. A Novel Framework for Securing Information in Cyber Security System Using Authentication, Intrusion Detection and Deep Learning-Based Risk Prediction Tasks:
- 20. Conclusion • Summarizes the framework’s effectiveness. • Highlights how objectives were met. • Suggests future scope for enhancement.
- 21. Thank you .