San Jose, CA, United States of America

Daniel George Wing

This inventor holds 111 USPTO granted patents and 10 published patent applications and 17 EPO patents, primarily in Cybersecurity Technologies (CPC class H04L63-0428). Top assignees: Cisco Technology, Inc., Citrix Systems, Inc., Vmware, Inc.. Active years: 2003-2025.

USPTO Granted Patents = 111 

% Patents Active = 86.5

 

Average Co-Inventor Count = 2.9

ph-index = 16

Forward Citations = 818(Granted Patents)

Forward Citations (Not Self Cited) = 771(Dec 10, 2025)


Inventors with similar research interests:

🔬 See more inventors

Location History:

  • Milpitas, CA (US) (2012)
  • San Joe, CA (US) (2017)
  • San Jose, CA (US) (2003 - 2023)
  • Santa Clara, CA (US) (2023)
  • Truckee, CA (US) (2018 - 2024)

Company Filing History:


Years Active: 2003-2025

Loading Chart...
Loading Chart...
Areas of Expertise:
DDoS Detection
Credential Protection
Malware Detection
Secure Browsing
Encrypted Flow Classification
DNS Contextual Flows
Privacy Preservation
Cloud Conferencing
Service Tagging
Network Forensics
Traffic Steering
Security as a Service
111 patents (USPTO):Explore Patents

Title: Daniel George Wing: A Visionary Inventor in Network Security

Introduction:

In the realm of network security and innovation, Daniel George Wing stands out as an exceptional inventor. Hailing from San Jose, CA, Wing has made significant contributions to the field with his 100 patents. With his latest patents focusing on encrypted flow classification and automatic retraining of machine learning models for detecting DDoS attacks, Wing's expertise and ingenuity have propelled him to the forefront of the industry. Let's delve deeper into his remarkable achievements and explore some of the companies and coworkers he has collaborated with along the way.

Patents:

One of Wing's recent patents, "Utilizing service tagging for encrypted flow classification," demonstrates his proficiency in developing solutions for identifying services associated with encrypted traffic flows. By analyzing domain name system (DNS) information, including service tags indicative of services offered by a specific domain, Wing's invention allows for the prioritization of encrypted traffic flows based on their associated services.

Furthermore, Wing's patent for "Automatic retraining of machine learning models to detect DDoS attacks" showcases his commitment to enhancing network security. This invention enables the assessment of traffic in response to attack mitigation requests. By identifying instances where the attack detectors have inaccurately assessed traffic, the system can automatically update the attack detection model, improving the overall efficiency of detecting DDoS attacks.

Companies and Collaborators:

Wing's expertise was honed through his work at renowned technology companies like Cisco and Citrix Systems. At Cisco Technology Incorporated, Wing played a crucial role in developing innovative network security solutions. We can only speculate about the revolutionary ideas and advancements he may have contributed during his tenure at Citrix Systems, Inc. Unfortunately, specific details about his role within these companies are not available.

Wing has also collaborated with talented individuals in his career. Notably, his coworkers Prashanth Patil and K Tirumaleswar Reddy have undoubtedly influenced his professional journey. The collective expertise and shared vision of Wing and his coworkers may have fueled their groundbreaking inventions and shaped the future of network security.

Conclusion:

Daniel George Wing has left an indelible mark on the field of network security with his innovative patents, leveraging technologies such as encrypted flow classification and machine learning. His dedication to improving attack detection and mitigating security risks is evident in his recent inventions. With a rich background working for notable companies like Cisco and Citrix Systems, Wing's contribution to the industry is highly regarded. We eagerly anticipate his future endeavors, as he continues to shape the landscape of network security and innovation.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…