"Research Hack Reveals Call Security Risk in Smartphones"

Advanced smartphone features entice users who want more from their devices, especially in regard to health and entertainment, but the question is whether these features pose a security risk when making or receiving actual calls. A team of researchers from Texas A&M University and four other institutions developed malware to answer that question. The researchers' malware, dubbed EarSpy, uses Machine Learning (ML) algorithms to filter caller information from ear speaker vibration data recorded by an Android smartphone's motion sensors without evading protections or needing user permissions. This article continues to discuss the malware created by academic researchers that shows how call security can be compromised in three areas.

Texas A&M University reports "Research Hack Reveals Call Security Risk in Smartphones"