Enhancing SIP Rich Call Data with Device-Info for Improved Caller Authentication and Fraud Resilience
ID：69
Submission ID：414 View Protection：ATTENDEE
Updated Time：2026-07-23 18:30:49
Hits：35
Online
Start Time：2026-07-30 15:40 （Asia/Kolkata）
Duration：15min
Session：[S3] Cyber Security » [S3-2] Cyber Security
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Abstract
Rich Call Data (RCD) enhances SIP-based [1] communications by extending caller identification with authenticated information such as caller name, logo, and call purpose, thereby improving user trust and reducing caller ID spoofing. However, existing RCD frameworks primarily focus on caller identity and provide limited visibility into the originating communication endpoint, reducing the effectiveness of fraud analytics, troubleshooting, compliance auditing, and contextual call handling. This paper proposes an extension to SIP Rich Call Data through a new device-info communication property integrated into the existing jCard [8][9] and STIR/SHAKEN framework [11][12] to enable device-aware trusted communications. A proof-of-concept implementation was developed in an IMS/SIP test environment where device metadata is collected, incorporated into RCD, and transported using existing SIP signalling mechanisms. Experimental observations indicate improved caller transparency, enhanced fraud assessment, richer enterprise communication context, and faster operational diagnostics. In addition, the availability of authenticated device context improves recipient confidence and supports higher call acceptance rates by providing clearer call origin information while maintaining compatibility with existing SIP procedures and enabling incremental deployment. Experimental results show a 15-25% improvement in fraud scoring confidence and a 20-30% reduction in troubleshooting time, along with improved caller transparency.
Keywords
SIP, Rich Call Data (RCD), STIR/SHAKEN, PASSporT, Device Identity, IMS, Caller Authentication, Fraud Detection, jCard
Speaker
Nataraju A B
Associate Professor Acharya Institute of Technology
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