Location History:
- Spicewood, TX (US) (2010)
- Austin, TX (US) (2010)
- San Francisco, CA (US) (2001 - 2023)
Company Filing History:
10 out of 20,382 
3 out of 133 
2 out of 832,843 Years Active: 2001-2023
Title: Innovations by Inventor Paul Jan Long in Cybersecurity and Machine Learning
Introduction
Paul Jan Long is an accomplished inventor based in San Francisco, CA, with a remarkable portfolio of 16 patents to his name. His inventive contributions primarily focus on enhancing cybersecurity and optimizing machine learning systems, particularly in low complexity sensor networks.
Latest Patents
One of his notable inventions is the "Method for using redundant encryption to secure data in supervisory control systems." This invention addresses the significant security shortcomings in existing Supervisory Control Systems (SCS). It improves upon U.S. Patent No. 10,367,794 B2 by integrating a Validated Transmission data system and a Receiver Validation data system. The methodology employs redundant links through technologies such as fiber optics, time division multiplexing, and various radio frequency links. The innovation presents a novel scheme for validating transmissions via self-generated tables by network elements.
Another cutting-edge patent by Long is the "Method and apparatus for producing a machine learning system for malware prediction in low complexity sensor networks." This invention utilizes machine learning to effectively detect, identify, prevent, and predict cyber-attacks on low power and low complexity sensor networks. These networks, often embedded in numerous Internet of Things (IoT) architectures, challenge current machine learning techniques due to their low data transmission requirements. Long's invention aims to overcome these restrictions, ensuring robust cybersecurity across various applications.
Career Highlights
Throughout his career, Paul Jan Long has worked with leading tech companies, notably Cisco Technology, Inc. and Cisco Systems Inc. His experience in these organizations has significantly shaped his inventive processes and understanding of technological advancements required in contemporary cybersecurity landscapes.
Collaborations
Long has collaborated with various professionals during his journey as an inventor. Notably, he has worked alongside Ian L. Sayers and Sheausong Yang. Their collective expertise has contributed to the development of innovative solutions addressing modern challenges in technology.
Conclusion
Paul Jan Long exemplifies the innovative spirit that drives advancements in cybersecurity and machine learning. His patents reflect a deep understanding of the complexities surrounding modern technological systems, positioning him as a significant contributor to the fields of cybersecurity and IoT. As he continues to innovate, the impact of his work will likely resonate throughout the technology industry for years to come.