TIM-8301 v5

Dantas, Y. G., Nigam, V., & Schöpp, U. (2024). A model-based systems engineering plugin for cloud security architecture design. SN Computer Science, 5(553). https://doi.org/10.1007/s42979-024-02748-x
The authors’ paper proposes a model-based systems engineering plugin called Security Pattern Synthesis that automates key Threat Analysis and Risk Assessment (TARA) activities for securing cloud architectures.

National Institute of Standards and Technology. (2023). Risk management framework for information systems and organizations: A system life cycle approach for security and privacy (NIST Special Publication 800-37, Revision 2). https://doi.org/10.6028/NIST.SP.800-37r2
Please read pages 23 through 83. The NIST RMF provides a Risk Management Framework (RMF) for information systems and organizations that includes updates to align with the NIST Cybersecurity Framework, integrates privacy risk management, and incorporates supply chain risk management, using a system life cycle approach for security and privacy.

El Amin, A., Elshoush, H. T., & Natiq, A. (2024). An integrated approach to cyber risk management with cyber threat intelligence framework to secure critical infrastructure. Journal of Cybersecurity and Privacy, 4(2), 363-385. https://doi.org/10.3390/jcp4020020
These authors propose an integrated cyber risk management framework that combines cyber threat intelligence to secure critical infrastructure by incorporating a continuous feedback loop for risk evaluation and mitigation.

Joint Task Force (2020). Security and privacy controls for information systems and organizations (No. NIST Special Publication (SP) 800-53 Rev. 5). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-53r5
This publication provides thorough details of resources and essential cybersecurity controls to protect organizations. Review pages 1 - 14 and then the specific area needed.

Souppaya, M., Scarfone, K., & Dodson, D. (2022). Secure software development framework (SSDF) version 1.1: Recommendations for mitigating the risk of software vulnerabilities (No. NIST Special Publication (SP) 800-218). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-218
This document dives into how to implement a secure software development lifecycle framework.

Tertulino, R., Ivaki, N., & Morais, H. (2024). Design a Software Reference Architecture to Enhance Privacy and Security in Electronic Health Records. IEEE Access, 12, 99933-99952. https://doi.org/10.1109/ACCESS.2024.3441751
This author introduces a Software Reference Architecture (SRA) for Electronic Health Record (HER) systems that focuses on enhancing data security and privacy by incorporating layers for data management, healthcare logic, presentation, security requirements, and privacy requirements.

(2024, April 25). ISC2 Certified Information Systems Security Professional (CISSP) (2024) Cert Prep. LinkedIn Learning. https://www.linkedin.com/learning/isc2-certified-information-systems-security-professional-cissp-2024-cert-prep/earning-your-cissp?u=99504138

Wisdom, C. U. (2023). Secure software development lifecycle: A case for adoption in software SMEs. International Journal of Advanced Research in Computer Science, 14(1), 5-12. https://doi.org/10.26483/ijarcs.v14i01.6949

Nichols, L. (2024). Cybersecurity Architect's Handbook. Packt Publishing.

Cunha, J., Ferreira, P., Castro, E. M., Oliveira, P. C., Nicolau, M. J., Núñez, I., Sousa, X. R., & Serôdio, C. (2024). Enhancing network slicing security: Machine learning, software-defined networking, and network functions virtualization-driven strategies. Future Internet, 16(7), 226. https://doi.org/10.3390/fi16070226
This paper reviews the use of artificial intelligence, software-defined networking, and network function virtualization to enhance security in network slicing.

Jihad, K., Hamza, K. I., Yamani, Y. E., Faycal, B., & Baddi, Y. (2024). Study and evaluation of network security strategies in SDN networks. 2024 World Conference on Complex Systems (WCCS), Complex Systems (WCCS), 2024 World Conference On, 1–6. https://doi.org/10.1109/WCCS62745.2024.10765546
This study examines various security methods for Software-Defined Networking and their implications across different network layers.

Mala, K., & Annapurna, H. S. (2024). Innovative approaches for enhanced security in cloud network traffic: An adaptive deep learning framework. 2024 First International Conference on Software, Systems and Information Technology (SSITCON), Software, Systems and Information Technology (SSITCON), 2024 First International Conference On, 1–7. https://doi.org/10.1109/SSITCON62437.2024.10796467
This research develops an adaptive deep learning framework to improve cloud network security by using real-time threat detection and mitigation.

Merritt, M., Hansche, S., Ellis, B., Sanchez-Cherry, K., Nethery Snyder, J., & Walden, D. (2024). Building a cybersecurity and privacy learning program (No. NIST Special Publication (SP) 800-50 Rev. 1). National Institute of Standards and Technology.
This publication provides guidance on developing and implementing effective cybersecurity and privacy learning programs within organizations.

Upadhyay, D., Sharma, K. B., Upadhyay, A., Gupta, M., Dhondiyal, S. A., & Asudani, D. S. (2024). Multi-layered security techniques for protecting cooperative relay networks from eavesdropping. 2024 International Conference on Cybernation and Computation (CYBERCOM), Cybernation and Computation (CYBERCOM), 2024 International Conference On, 14–19. https://doi.org/10.1109/CYBERCOM63683.2024.10803208
This study explores multi-layered security methods, such as beamforming and artificial noise, to protect cooperative relay networks from eavesdropping.

Urs, P., Muresan, V., Hulea, M., & Sita, V. (2024). Enhancing network security for automated processes in nuclear-electric power plants. 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2024 4th International Conference On, 1–7. https://doi.org/10.1109/ICECCME62383.2024.10796893
This paper discusses how to improve network security for automated processes in nuclear power plants, emphasizing the importance of multi-factor authentication.

Yu, Y. (2024). Computer network privacy security technology based on cloud computing. 2024 5th International Conference for Emerging Technology (INCET), Emerging Technology (INCET), 2024 5th International Conference For, 1–4. https://doi.org/10.1109/INCET61516.2024.10593132
This paper explores privacy protection technologies in cloud computing, with an emphasis on data integrity and security.

Zakiyyah, R., Permana, D., Valencio, D., Chowanda, A., Muliono, Y., & Izdihar, Z. N. (2024). Security challenges and issues in cloud computing. 2024 International Symposium on Networks, Computers and Communications (ISNCC), Networks, Computers and Communications (ISNCC), 2024 International Symposium On, 1–6. https://doi.org/10.1109/ISNCC62547.2024.10758966
This study outlines various security challenges and issues related to cloud computing, including risks such as data eavesdropping and DDoS attacks.

(2024, April 25). ISC2 Certified Information Systems Security Professional (CISSP) (2024) Cert Prep. LinkedIn Learning. https://www.linkedin.com/learning/isc2-certified-information-systems-security-professional-cissp-2024-cert-prep/earning-your-cissp?u=99504138

Lorincz, J., Kukuruzović, A., & Blažević, Z. (2024). A Comprehensive Overview of Network Slicing for Improving the Energy Efficiency of Fifth-Generation Networks. Sensors, 24(10), 3242.

Kaufman, C., Perlman, R., Speciner, M., & Perlner, R. (2022). Network Security: Private Communications in a Public World (3rd ed.). Addison-Wesley Professional.