TY  - JOUR
A1  - Siddiqi, Muhammad Ali
A1  - Dörr, Christian
A1  - Strydis, Christos
T1  - IMDfence
BT  - architecting a secure protocol for implantable medical devices
JF  - IEEE access
N2  - Over the past decade, focus on the security and privacy aspects of implantable medical devices (IMDs) has intensified, driven by the multitude of cybersecurity vulnerabilities found in various existing devices. However, due to their strict computational, energy and physical constraints, conventional security protocols are not directly applicable to IMDs. Custom-tailored schemes have been proposed instead which, however, fail to cover the full spectrum of security features that modern IMDs and their ecosystems so critically require. In this paper we propose IMDfence, a security protocol for IMD ecosystems that provides a comprehensive yet practical security portfolio, which includes availability, non-repudiation, access control, entity authentication, remote monitoring and system scalability. The protocol also allows emergency access that results in the graceful degradation of offered services without compromising security and patient safety. The performance of the security protocol as well as its feasibility and impact on modern IMDs are extensively analyzed and evaluated. We find that IMDfence achieves the above security requirements at a mere less than 7% increase in total IMD energy consumption, and less than 14 ms and 9 kB increase in system delay and memory footprint, respectively.
KW  - protocols
KW  - implants
KW  - authentication
KW  - ecosystems
KW  - remote monitoring
KW  - scalability
KW  - authentication protocol
KW  - battery-depletion attack
KW  - battery
KW  - DoS
KW  - denial-of-service attack
KW  - IMD
KW  - implantable medical device
KW  - non-repudiation
KW  - smart card
KW  - zero-power defense
Y1  - 2020
U6  - https://doi.org/10.1109/ACCESS.2020.3015686
SN  - 2169-3536
VL  - 8
SP  - 147948
EP  - 147964
PB  - Institute of Electrical and Electronics Engineers
CY  - Piscataway
ER  - 
TY  - GEN
A1  - Klieme, Eric
A1  - Tietz, Christian
A1  - Meinel, Christoph
T1  - Beware of SMOMBIES
BT  - Verification of Users based on Activities while Walking
T2  - The 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 2018)/the 12th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE 2018)
N2  - Several research evaluated the user's style of walking for the verification of a claimed identity and showed high authentication accuracies in many settings. In this paper we present a system that successfully verifies a user's identity based on many real world smartphone placements and yet not regarded interactions while walking. Our contribution is the distinction of all considered activities into three distinct subsets and a specific one-class Support Vector Machine per subset. Using sensor data of 30 participants collected in a semi-supervised study approach, we prove that unsupervised verification is possible with very low false-acceptance and false-rejection rates. We furthermore show that these subsets can be distinguished with a high accuracy and demonstrate that this system can be deployed on off-the-shelf smartphones.
KW  - gait
KW  - authentication
KW  - smartphone
KW  - activities
KW  - verification
KW  - behavioral
KW  - continuous
Y1  - 2018
SN  - 978-1-5386-4387-7
SN  - 978-1-5386-4389-1
U6  - https://doi.org/10.1109/TrustCom/BigDataSE.2018.00096
SN  - 2324-9013
SP  - 651
EP  - 660
PB  - IEEE
CY  - New York
ER  -