Konstantin Berlin

Title: Konstantin Berlin: Innovator in Malware Recognition

Introduction

Konstantin Berlin is a prominent inventor based in Potomac, MD, known for his significant contributions to the field of cybersecurity. With a total of 14 patents to his name, he has developed innovative methods for recognizing and mitigating malware threats.

Latest Patents

One of his latest patents is focused on "Attribute relevance tagging in malware recognition." This method utilizes machine learning to identify portable executable files as malware by training a model with features and descriptive information about the files. The trained model can then provide a threat score and descriptive information based on the input features. Another notable patent is for "Techniques for detecting living-off-the-land binary attacks." This invention employs a machine learning model to classify command lines as benign or malicious, using a dataset sourced from executed binary executable files. The model is trained to detect LOLBin attacks and can initiate remedial actions when such attacks are identified.

Career Highlights

Throughout his career, Konstantin has worked with notable companies such as Invincea, Inc. and Sophos Limited. His work has significantly advanced the understanding and detection of malware, contributing to enhanced cybersecurity measures.

Collaborations

Some of his notable coworkers include Joshua Daniel Saxe and Felipe Nicolás Ducau, who have collaborated with him on various projects in the cybersecurity domain.

Conclusion

Konstantin Berlin's innovative work in malware recognition and detection has made a substantial impact on the field of cybersecurity. His patents reflect a commitment to advancing technology and protecting systems from evolving threats.