Karnataka, India

Sriram Mahadeva

This inventor holds 1 USPTO granted patent. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sriram Mahadeva. Retrieved from https://idiyas.com/inventor/sriram-mahadeva-a4t4icsi

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


% Patents Active = 100.0

Average Co-Inventor Count = 15.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Sriram Mahadeva: Innovator in IoT Malware Classification

Introduction

Sriram Mahadeva is a notable inventor based in Karnataka, India. He has made significant contributions to the field of Internet of Things (IoT) security through his innovative patent. His work focuses on the classification of IoT malware at network devices, which is crucial in today's technology-driven world.

Latest Patents

Sriram holds a patent for "IoT malware classification at a network device." This invention involves receiving network traffic from an IoT device and analyzing network parameters using a machine learning model. The network device classifies the traffic into categories of malware activity. If the analysis reveals a significant deviation from previously trained parameters, the device generates an alert, enabling users to take remedial actions regarding the IoT device.

Career Highlights

Sriram Mahadeva is currently employed at Hewlett Packard Enterprise Development LP, where he continues to work on innovative solutions in the field of IoT security. His expertise in machine learning and network analysis has positioned him as a valuable asset in his organization.

Collaborations

Sriram collaborates with talented individuals such as Manjunath Rajendra Batakurki and Srinidhi Hari Prasad. Their combined efforts contribute to advancing technology and enhancing security measures in IoT devices.

Conclusion

Sriram Mahadeva's contributions to IoT malware classification demonstrate his commitment to innovation and security in technology. His work not only addresses current challenges but also paves the way for future advancements in the field.

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]
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