objective summaries feb 17

Biometric Data Integrity and its Impact on Biometric Security Technologies

Rajdip Rathod

Department of Computer Science, Monroe College, King Graduate School

KG604: Graduate Research & Critical Analysis

Dr. Donna Tennyson

2/11/2023

· Summary section of objective summary should be identified with 2nd level heading.

· Revise to include information suggested in comments.

· Make revisions before included with Assignment 3.

· Good job!

Objective Summary 1

Introduction

Ahmed et al. (2018) are the researchers who wanted to reveal the kind of cyberattacks happening in various cyber systems. The six authors of the work are qualified since they presented their work through a conference paper with a good global reputation. Ahmed et al. (2018) conducted the research in two areas comprising water treatment and distribution facilities, SWaT and WADI. The study shows that the noise fingerprint can uniquely identify many sensors with an accuracy greater than 90%. The vulnerability of the systems to cyberattacks depends on the system's understanding and the profile of noise it detects. NoisePrint is scalable, as seen by the wide variety of tools, procedures, and categorization methods. On two separate testbeds, the authors examined the suggested scheme's viability, highlighting the generalizability and scalability of the NoisePrint. Comment by Donna Tennyson: Who (OK) Why (OK) Add: Where research conducted. Add: When research conducted if stated in the article. If not included in article, state that in objective summary. Comment by Donna Tennyson: What (OK) Comment by Donna Tennyson: Move detailed information to draft research paper.

Fingerprint sensors and noise detection are two technologies that help identify attacks on technological devices. Ahmed et al. (2018) researched two sample testbeds that dealt with water. The SWaT testbed helped the authors to develop a model with the right components and physics, using concepts of first principles (Ahmed et al., 2018). The authors easily established a model used in the second testbed. According to the findings, the suggested approach can identify zero-alarm assaults, whereas statistical reference methods cannot. Furthermore, scientists have demonstrated that sensors may be recognized uniquely with more than 90% accuracy. The authors need more accuracy, which is possible through the distinction between the sensor's noise and the process. Comment by Donna Tennyson: How (OK)

Conclusion

Biometrics improves online security and protects users from potential data breaches. These technological systems operate while producing data for both the fingerprint and the noise. This study assesses NoisePrint using testbeds for water delivery and treatment. The authors performed not one but two tests of the NoisePrint system, each on a separate testbed. The often-used industrial sensors are analyzed, but the research is broadly relevant to other industrial applications. I am particularly impressed with this research as it presents better and more secure ways of accessing user data in the face of current technological risks. Comment by Donna Tennyson: Delete personal pronoun. Just state "this research…" because, since you are the author, statements in the paper are written by you.

Reference

Ahmed, C. M., Ochoa, M., Zhou, J., Mathur, A. P., Qadeer, R., Murguia, C., & Ruths, J. (2018, May). Noiseprint: Attack detection using sensor and process noise fingerprint in cyber physical systems. In  Proceedings of the 2018 on Asia Conference on Computer and Communications Security (pp. 483-497). https://doi.org/10.1145/3196494.3196532