TY - GEN
T1 - Defending resource depletion attacks on implantable medical devices
AU - Hei, Xiali
AU - Du, Xiaojiang
AU - Wu, Jie
AU - Hu, Fei
PY - 2010
Y1 - 2010
N2 - Implantable Medical Devices (IMDs) have been widely used to treat chronic diseases such as cardiac arrhythmia and diabetes. Many IMDs are enabled with wireless communication capabilities and can communicate with an outside programmer/reader wirelessly. With the rapid growth of IMDs, IMD security becomes a critical issue since attacks on IMDs may directly harm the patient. Typical IMDs have very limited resource in terms of energy, computation and storage. In this research, we identify a new kind of attacks on IMDs - Resource Depletion (RD) attacks that could deplete IMD resources (e.g., battery power) quickly. The RD attacks could reduce the lifetime of an IMD from several years to a few weeks. The attacks can be easily launched but can not be defended by traditional cryptographic approaches. In this paper, we propose to utilize the patient's IMD access pattern and we design a novel Support Vector Machine (SVM) based scheme to address the RD attacks. Our SVM-based scheme is very effective in defending the RD attacks. Our experimental results show that the average detection rate of the SVM-based scheme is above 90%.
AB - Implantable Medical Devices (IMDs) have been widely used to treat chronic diseases such as cardiac arrhythmia and diabetes. Many IMDs are enabled with wireless communication capabilities and can communicate with an outside programmer/reader wirelessly. With the rapid growth of IMDs, IMD security becomes a critical issue since attacks on IMDs may directly harm the patient. Typical IMDs have very limited resource in terms of energy, computation and storage. In this research, we identify a new kind of attacks on IMDs - Resource Depletion (RD) attacks that could deplete IMD resources (e.g., battery power) quickly. The RD attacks could reduce the lifetime of an IMD from several years to a few weeks. The attacks can be easily launched but can not be defended by traditional cryptographic approaches. In this paper, we propose to utilize the patient's IMD access pattern and we design a novel Support Vector Machine (SVM) based scheme to address the RD attacks. Our SVM-based scheme is very effective in defending the RD attacks. Our experimental results show that the average detection rate of the SVM-based scheme is above 90%.
KW - Access pattern
KW - Implantable medical devices
KW - Security
KW - Support vector machines
UR - http://www.scopus.com/inward/record.url?scp=79551649543&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79551649543&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2010.5685228
DO - 10.1109/GLOCOM.2010.5685228
M3 - Conference contribution
AN - SCOPUS:79551649543
SN - 9781424456383
T3 - GLOBECOM - IEEE Global Telecommunications Conference
BT - 2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
T2 - 53rd IEEE Global Communications Conference, GLOBECOM 2010
Y2 - 6 December 2010 through 10 December 2010
ER -