Detecting data manipulation attacks on physiological sensor measurements in wearable medical systems

Recent years have seen the emergence of wearable medical systems (WMS) that have demonstrated great promise for improved health monitoring and overall well-being. Ensuring that these WMS accurately monitor a user’s current health state is crucial. This is especially true in the presence of adversari...

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Veröffentlicht in:	EURASIP Journal on Information Security Jg. 2018; H. 1; S. 1 - 21
Hauptverfasser:	Cai, Hang, Venkatasubramanian, Krishna K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 29.09.2018 Springer Nature B.V SpringerOpen
Schlagworte:	Blood pressure Classifiers Communications Engineering Data manipulation attacks Data-centric attack detection Decision analysis Electrocardiography Engineering Health Image reconstruction Medical electronics Medical imaging Networks Physiology Pressure measurement Security Science and Technology Sensors Signal processing Signal,Image and Speech Processing Support systems Systems and Data Security Trustworthiness Wearable medical systems Wearable technology Wearable medical systems Data-centric attack detection Data manipulation attacks
ISSN:	2510-523X, 1687-4161, 2510-523X, 1687-417X
Online-Zugang:	Volltext
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