logo

For the Inventor, By the Inventor

New York, NY, United States of America

Angelos D Keromytis

This inventor holds 58 USPTO granted patents and 8 published patent applications, plus 1 CIPO patent and 1 EPO patent, primarily in Cybersecurity Solutions (CPC class H04L). Top assignee: Columbia University. Active years: 2009-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Angelos D Keromytis. Retrieved from https://idiyas.com/inventor/angelos-d-keromytis

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 58 

% Patents Active = 96.6



Average Co-Inventor Count = 3.1

ph-index = 15

Forward Citations = 1,984(Granted Patents)

Forward Citations (Not Self Cited) = 1,903(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Yonkers, NY (US) (2015 - 2017)
  • Annandale, VA (US) (2019)
  • New York, NY (US) (2009 - 2023)

Company Filing History:

goldMedal58 out of 2,554 
 
Columbia University
 patents

Years Active: 2009-2023

Loading Chart...
Loading Chart...
Loading Chart...
Areas of Expertise:
Return-Oriented Programming
Network Anomalies
Intrusion Detection
Malware Detection
User Authentication
Anomaly Detection Models
Sanitized Data Generation
Software Patch Testing
Digital Processing Security
Trap-Based Defenses
Function Call Analysis
Covert Malware
58 patents (USPTO):Explore Patents
1. 11599628 - Detecting return-oriented programming payloads by evaluating data for a gadget address space address and determining whether operations associated with instructions beginning at the address indicate a return-oriented programming payload (2023-03-07),
2. 11106799 - Methods, media, and systems for detecting an anomalous sequence of function calls (2021-08-31),
3. 10902111 - Methods, media, and systems for detecting attack on a digital processing device (2021-01-26),
4. 10819726 - Detecting network anomalies by probabilistic modeling of argument strings with markov chains (2020-10-27),
5. 10423788 - Methods, media, and systems for detecting an anomalous sequence of function calls (2019-09-24),
6. 10367797 - Methods, systems, and media for authenticating users using multiple services (2019-07-30),
7. 10305919 - Systems and methods for inhibiting attacks on applications (2019-05-28),
8. 10237059 - Diversified instruction set processing to enhance security (2019-03-19),
9. 10192049 - Detecting return-oriented programming payloads by evaluating data for a gadget address space address and determining whether operations associated with instructions beginning at the address indicate a return-oriented programming payload (2019-01-29),
10. 10181026 - Methods, media, and systems for detecting attack on a digital processing device (2019-01-15),
11. 10178113 - Systems, methods, and media for generating sanitized data, sanitizing anomaly detection models, and/or generating sanitized anomaly detection models (2019-01-08),
12. 10178104 - Methods, media, and systems for securing communications between a first node and a second node (2019-01-08),
13. 10063576 - Detecting network anomalies by probabilistic modeling of argument strings with markov chains (2018-08-28),
14. 10038704 - Systems and methods for correlating and distributing intrusion alert information among collaborating computer systems (2018-07-31),
15. 9992222 - Systems and methods for inhibiting attacks with a network (2018-06-05),

Title: **Angelos D Keromytis: Innovator in Cybersecurity Technologies**

Introduction

Angelos D Keromytis is a renowned inventor based in New York, NY, with an impressive portfolio of 58 patents to his name. His work primarily focuses on advancements in cybersecurity, particularly in detecting sophisticated programming attacks. His contributions have significantly impacted the landscape of computer security and data protection.

Latest Patents

Among his latest innovations, Keromytis developed a method for detecting return-oriented programming (ROP) payloads. This patent outlines a system, method, and media for assessing data against potential gadget address spaces. It is designed to determine whether operations linked with specific instructions reveal the presence of an ROP payload. The approach includes identifying potential gadget addresses and analyzing data accordingly.

Another significant patent pertains to identifying anomalous sequences of function calls. This inventive concept involves compressing sequences that programs execute and detecting anomalies based on the degree of compression. It includes using known programs to observe sequences and assigning unique identifiers to each function call, ultimately aiding in the integrity and security of software applications.

Career Highlights

Angelos D Keromytis is a key member of Columbia University, where his innovative research and development work continues to shape advancements in computer security. His contributions have synthesized theoretical knowledge with practical applications, addressing real-world cybersecurity challenges.

Collaborations

In his endeavors, Keromytis has collaborated with esteemed colleagues, including Salvatore J Stolfo and Michael E Locasto. These partnerships enhance the scope and depth of his research, allowing for the integration of diverse viewpoints and expertise in the field of cybersecurity.

Conclusion

Angelos D Keromytis stands out as a leading inventor in cybersecurity, with a substantial number of patents that contribute to the ongoing battle against digital threats. His work at Columbia University and collaborations with other prominent researchers reinforce his position as a key figure in the evolution of innovative security solutions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…