FREKA: Fast Resource Efficient Key Agreement Algorithm within Body Area Network | ||||
| Mansoura Journal for Computer and Information Sciences | ||||
| Volume 15, Issue 1, June 2019, Page 31-43 PDF (759.71 K) | ||||
| Document Type: Original Research Articles. | ||||
| DOI: 10.21608/mjcis.2019.320868 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Yasmeen Al-Saeed  ; Eman Eldaydamony; Osama Ouda; Ahmed Atwan
| ||||
| Department of Information Technology, Faculty of Computer and Information Sciences, Mansoura University, Mansoura 35516, Egypt | ||||
| Abstract | ||||
| Body area network (BAN) considered a hot research topic and attracted many researchers due to its increasing applications. Providing light, fast and efficient key agreement algorithm to secure inters-sensor communications is critical challenge. In this paper, we present an enhanced algorithm that enables two sensors to use previous connection’s pre-knowledge to fast the later connections key agreement process. Our algorithm saves sensor’s resources, key agreement cycle’s time and preserves randomness of the key. Results imply the efficiency, applicability and security of FREKA. Compared with OPFKA algorithm, our algorithm achieves better power and memory consumption. In addition, it requires lower computational operations. | ||||
| Keywords | ||||
| Key Agreement; Wireless Body Area Network (WBAN); Inter- sensor communication; Physiological feature based key agreement | ||||
|
Statistics Article View: 17 PDF Download: 20 |
||||
