Company Filing History:
Years Active: 2020
Title: Innovator Nahid Farhady: Pioneering Malware Detection Technology
Introduction
Nahid Farhady is an accomplished inventor based in Falls Church, Virginia. She has made significant contributions to the field of cybersecurity, particularly in malware detection. With a focus on leveraging machine learning, her work aims to enhance the ability to identify malicious software effectively.
Latest Patents
Nahid Farhady holds a patent for a novel approach to malware detection. This patent outlines a method where a first subset of features is determined from a binary file. The binary file is then analyzed using a machine learning model to categorize the type of malware based on its detectability. The invention distinguishes between categories of malware, with some having lower detectability and others exhibiting higher detectability. A model is created to analyze the first category of malware, and an analysis of the binary file is performed using this model. A confidence score is generated, indicating the likelihood of the binary file being classified as goodware or containing malware. Detection occurs when the confidence score surpasses a predetermined threshold.
Career Highlights
Nahid Farhady is currently employed at Accenture Global Solutions Limited, where she applies her expertise in cybersecurity. Her innovative work in malware detection has positioned her as a key player in the industry.
Collaborations
Nahid collaborates with Malek Ben Salem, a fellow expert in the field. Together, they work on advancing technologies that enhance cybersecurity measures.
Conclusion
Nahid Farhady's contributions to malware detection exemplify her commitment to improving cybersecurity. Her innovative approach and collaboration with industry experts continue to shape the future of technology in this critical area.