SEC 235 - Structured External Assignment Students Will Resea ✓ Solved

SEC 235 - Structured External Assignment Students will research one of the Security Tech Topics below and create a Power Point presentation that will be presented to the class

Students will research one of the Security Tech Topics below and create a PowerPoint presentation that will be presented to the class. You are to examine past, present, and future trends of this topic.

This project is worth 100 points and must be submitted via Canvas by the end of Week 7. Refer to the Structured External Assignment Rubric for grading guidelines.

Minimum requirements for the project include a PowerPoint presentation with at least 15-20 slides of text (no more than 25 slides to avoid points deduction). Use transitions, backgrounds, and animations as desired. The presentation must be relevant to the chosen topic and include citations for past, current, and future developments in the technology. Graphics, music, and videos should be incorporated where appropriate.

Citations should follow APA style, with no paraphrasing or plagiarism. Online sources can be used, excluding Wikipedia and similar sites. Credible sources such as books, magazines, and articles should also be utilized.

Get creative! You may choose from the following topics:

  • Peer-to-Peer / File Sharing / BitTorrent
  • Biometrics
  • Smartcards
  • Voice over IP (VoIP)
  • Networks
  • Internet 3 / Web 3.0
  • Cloud Computing
  • Virtualization
  • WiMax
  • Packet Sniffers, Network & Protocol Analyzers
  • Public & Private Key Infrastructure
  • Ethics of Network Monitoring in the Workplace
  • Intrusion Detection & Intrusion Prevention Systems

Sample Paper For Above instruction

Biometrics: Past, Present, and Future Trends

Biometrics, the measurement and statistical analysis of people's physical and behavioral characteristics, have revolutionized security technology over the past few decades. From early fingerprint recognition to advanced facial recognition systems, biometrics have evolved dramatically, offering enhanced security and convenience.

Historical Background of Biometrics

The use of biometric identification can be traced back to ancient times when fingerprints were used to sign documents in ancient civilizations. However, modern biometric systems began developing in the 1960s with the advent of fingerprint scanners. The 1990s marked a significant surge with the introduction of face recognition, iris scanning, and voice recognition technologies (Jain et al., 2004).

Current Trends in Biometrics Technology

Today, biometric systems employ sophisticated algorithms powered by artificial intelligence and machine learning. Facial recognition has become commonplace in smartphones and surveillance cameras, while iris recognition is used in high-security facilities. Behavioral biometrics, such as keystroke dynamics and gait analysis, are emerging as unobtrusive authentication methods (Rousseau & Nanni, 2014).

Future Directions

The future of biometrics points towards multimodal systems that combine multiple biometric traits for increased accuracy. Developments in biometric sensors are making systems more portable and accessible. Privacy concerns and ethical issues are shaping regulatory frameworks, with ongoing research into cancelable biometrics and encrypted biometric templates to protect user data (Jain et al., 2016).

Implications and Challenges

Despite technological advancements, challenges remain regarding data security, accuracy in diverse populations, and potential misuse. Ensuring user privacy while maintaining security is a balancing act that continues to influence research and policy decisions (Kumar et al., 2019). Future innovations aim to address these concerns while enhancing biometric reliability and user acceptance.

Conclusion

Biometrics will continue to evolve, driven by technological innovations and increasing security needs. As systems become more accurate and less intrusive, their adoption will expand across various sectors, including banking, healthcare, and national security, shaping the future landscape of biometric security.

References

  • Jain, A. K., Ross, A., & Nam, K. (2004). An introduction to biometric recognition. IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 4-20.
  • Rousseau, F., & Nanni, L. (2014). Behavioral biometrics for continuous authentication: A review. Pattern Recognition Letters, 45, 118-122.
  • Jain, A. K., Nandakumar, K., & Nagar, A. (2016). Security and privacy in biometrics. IEEE Security & Privacy, 14(3), 15-21.
  • Kumar, S., Thakur, T., & Rani, R. (2019). Challenges and future directions of biometric authentication systems. Journal of Computer Security, 27(4), 377-401.
  • Li, S., & Jain, A. (2020). Advances in biometrics. Springer.
  • Maltoni, D., Maio, D., Jain, A. K., & Prabhakar, S. (2009). Handbook of Fingerprint Recognition. Springer.
  • Chen, X., & Kumar, S. (2021). Multimodal biometric systems: Techniques and applications. IEEE Transactions on Biometrics, Behavior, and Identity Science, 3(2), 123-136.
  • Patel, J., & Patel, P. (2020). Privacy-preserving biometric systems: A comprehensive review. Journal of Information Security and Applications, 55, 102565.
  • Zhao, W., & Li, Y. (2018). Deep learning approaches for biometric recognition. IEEE Transactions on Neural Networks and Learning Systems, 29(8), 3582-3593.
  • De Marsico, M., & Morisio, M. (2022). Ethical challenges in biometric technologies. ACM Computing Surveys, 55(3), 1-38.

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