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For the Inventor, By the Inventor

Vilnius, Lithuania

Aleksandr Sevcenko

USPTO Granted Patents = 25 

Average Co-Inventor Count = 2.1

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:

goldMedal25 out of 329 
 
Uab 360 It
 patents

Years Active: 2022-2025

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25 patents (USPTO):Explore Patents
1. 12267341 - Dynamic analysis for detecting harmful content (2025-04-01),
2. 12184678 - Optimized analysis for detecting harmful content (2024-12-31),
3. 12088630 - Securing network devices against network vulnerabilities (2024-09-10),
4. 12086248 - System and method for antimalware application adversarial machine learning (2024-09-10),
5. 12056238 - System and method for antimalware application adversarial machine learning (2024-08-06),
6. 11997068 - Method and apparatus for providing IP address filtering (2024-05-28),
7. 11954234 - System and method for protecting browser data (2024-04-09),
8. 11941124 - Systems and methods for detecting malware using static and dynamic malware models (2024-03-26),
9. 11941123 - Systems and methods for detecting malware using static and dynamic malware models (2024-03-26),
10. 11941122 - Systems and methods for detecting malware using static and dynamic malware models (2024-03-26),
11. 11941121 - Systems and methods for detecting malware using static and dynamic malware models (2024-03-26),
12. 11880460 - System and method for differential malware scanner (2024-01-23),
13. 11848944 - Dynamic analysis for detecting harmful content (2023-12-19),
14. 11843618 - Optimized analysis for detecting harmful content (2023-12-12),
15. 11841949 - System and method for antimalware application adversarial machine learning (2023-12-12),

Title: Innovations of Aleksandr Sevcenko: A Leader in Cybersecurity Patents

Introduction

Aleksandr Sevcenko, an accomplished inventor based in Vilnius, Lithuania, has made significant contributions to the field of cybersecurity with a remarkable portfolio of 24 patents. His innovative work focuses on enhancing network security and detecting harmful content, showcasing his dedication to creating safer technological environments.

Latest Patents

Among his latest inventions, Sevcenko has developed a patent for "Optimized analysis for detecting harmful content." This method involves determining harmful and clean traits associated with data, identifying harmful patterns, and enabling user devices to evaluate whether the data contains malicious content. Another notable patent, "Securing network devices against network vulnerabilities," outlines a process that involves a security device receiving initial instructions and carrying out operations based on event signals from network devices, enhancing overall security in network-facing operations. These patents reflect his commitment to advancing cybersecurity solutions.

Career Highlights

Currently, Sevcenko is employed at UAB 360 IT, where he continues to innovate within the realm of cybersecurity technologies. His extensive experience and expertise in patent development have positioned him as a key player in the industry, contributing to advancements that protect networks and users alike.

Collaborations

Throughout his career, Aleksandr Sevcenko has collaborated with talented professionals, including Mantas Briliauskas and Mohamed Adly Amer Elgaafary. These partnerships have likely enriched his research and development processes, leading to the successful creation and implementation of his patented technologies.

Conclusion

Aleksandr Sevcenko's work represents a significant advancement in the field of cybersecurity. With his numerous patents and ongoing efforts with UAB 360 IT, he continues to impact the innovation landscape positively. His contributions serve as a testament to the importance of developing technologies that protect and secure information in our increasingly digital world.

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