Pith. sign in

REVIEW 1 cited by

SCR-Auth: Secure Call Receiver Authentication on Smartphones Using Outer Ear Echoes

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2404.15000 v2 pith:NYJ5DXT5 submitted 2024-04-23 cs.CR

classification cs.CR
keywords authenticationcallechoesouterreceiverscr-authsmartphonesinformation
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Receiving calls is one of the most universal functions of smartphones, involving sensitive information and critical operations. Unfortunately, to prioritize convenience, the current call receiving process bypasses smartphone authentication mechanisms (e.g., passwords, fingerprint recognition, and face recognition), leaving a significant security gap. To address this issue, we propose SCR-Auth, a secure call receiver authentication scheme for smartphones that leverages outer ear echoes. It sends inaudible acoustic signals through the earpiece speaker to actively sense the call receiver's outer ear structure and records the resulting echoes using the top microphone. These echoes are then analyzed to extract unique outer ear biometric information for authentication. It operates implicitly, without requiring extra hardware or imposing additional burden. Comprehensive experiments conducted under diverse conditions demonstrate SCR-Auth's effectiveness and security, showing an average balanced accuracy of 96.95% and resilience against potential attacks.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. WAFBOOSTER: Automatic Boosting of WAF Security Against Mutated Malicious Payloads

    cs.CR 2025-01 reject novelty 6.0 of 10

    WAFBOOSTER combines a shadow model, an RNN payload generator, and automatic signature extraction to harden web application firewalls, but its headline rejection-rate improvement is measured on the same payloads used t...

Pith tools