Nesrine Khernane, Maria Potop-Butucaru, Claude Chaudet
Advances in wearable and implementable of wireless sensors have enable the development of tiny and intelligent sensors called body sensors. Monitoring the vital body parameters in real-time using wireless body area network (WBAN) has shown great potential in improving healthcare quality not only for patients but also for medical staff. However, security and privacy are still an important issue in WBANs especially in multi-hop architectures. Considering the constraints of the body sensors (namely energy, memory, computational power, etc.). In this paper, we propose and present the design and the evaluation of a secure lightweight and energy efficient authentication scheme BANZKP based on an efficient cryptographic protocol, Zero Knowledge Proof (ZKP) and a commitment scheme. ZKP is used to confirm the identify of the sensor nodes, with small computational requirement, which is favorable for body sensors given their limited resources, while the commitment scheme is used to deal with replay attacks and hence the injection attacks by committing a message and revealing the key later. BANZKP reduces the memory requirement by 56,13% compared to TinyZKP [10], the comparable alternative so far for Body Area Networks. Also, the simulation results demonstrate that our proposed scheme is 17 and 5 times more efficient in term of execution time, and uses 94.11% and 80% less energy compared to TinyZKP and W-ECDSA [16], respectively.
Nesrine Khernane, Maria Potop-Butucaru, Claude Chaudet
-Wireless body area network(WBAN) has shown great potential in improving\nhealthcare quality not only for patients but also for medical staff. However,\nsecurity and privacy are still an important issue in WBANs especially in\nmulti-hop architectures. In this paper, we propose and present the design and\nthe evaluation of a secure lightweight and energy efficient authentication\nscheme BANZKP based on an efficient cryptographic protocol, Zero Knowledge\nProof (ZKP) and a commitment scheme. ZKP is used to confirm the identify of the\nsensor nodes, with small computational requirement, which is favorable for body\nsensors given their limited resources, while the commitment scheme is used to\ndeal with replay attacks and hence the injection attacks by committing a\nmessage and revealing the key later. Our scheme reduces the memory requirement\nby 56.13 % compared to TinyZKP [13], the comparable alternative so far for Body\nArea Networks, and uses 10 % less energy.\n