WBAN or Wireless Body Area Network is a new technology that has been invented for monitoring health condition of an individual. This is fitted in the body of a person Wire Sensor Network or WSN is possible due improvement of sensor technology as well as computer miniaturization. As the data related to patients are stored in a WBAN it is imperative that security of the data must be maintained. Body Area Network is a system comprising of wireless network of sensors to monitor health designed for delivering personalized health-care. Acquiring communications inside BANs is necessary for maintaining not only health data’s privacy but also for guaranteeing security of healthcare-delivery [9]. It is a system consisting of wireless network sensors,
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Certainly, protecting health data is a legal need according to health Insurance Portability and Accountability Act that dictates that every personally recognizable information in electronic form be sheltered [10].
Contrasting to traditional sensor networks, BANs manage medical information with rigorous security and privacy need. The deficiency of sufficient security protections can not only result in a breach of privacy of patient, but also provide a chance for opponents to threat safety of the patients by adapting the data from BAN, that can lead to wrong diagnosis and treatments. As wireless communication forms one of the most susceptible aspects of a BAN, acquiring inter-sensor communications plays a significant role in securing the BAN …show more content…
In BANs, usually sensors depend on the cryptographic keys for securing multimedia data communications. Various distribution and key management schemes are developed for providing security in usual wireless sensor networks. Conversely, they may not be applied directly for the BANs because of the scales of biomedical sensors. Conversely designing a proficient key agreement and management scheme is still challenging in BANs [8]. The key distribution techniques, like probabilistic key distribution, asymmetric cryptosystems, SPINS and LEAP were developed for distributing security keys in BANs. However such methods are not implemented easily in the body sensors because of restricted sensor resources or needing pre-deployment of secret keys that are difficult to be substituted and are susceptible to offline crack. Moreover, key management’s overheads and distributions in such methods are enormous whenever numerous sensor nodes are
Certainly, protecting health data is a legal need according to health Insurance Portability and Accountability Act that dictates that every personally recognizable information in electronic form be sheltered [10].
Contrasting to traditional sensor networks, BANs manage medical information with rigorous security and privacy need. The deficiency of sufficient security protections can not only result in a breach of privacy of patient, but also provide a chance for opponents to threat safety of the patients by adapting the data from BAN, that can lead to wrong diagnosis and treatments. As wireless communication forms one of the most susceptible aspects of a BAN, acquiring inter-sensor communications plays a significant role in securing the BAN …show more content…
In BANs, usually sensors depend on the cryptographic keys for securing multimedia data communications. Various distribution and key management schemes are developed for providing security in usual wireless sensor networks. Conversely, they may not be applied directly for the BANs because of the scales of biomedical sensors. Conversely designing a proficient key agreement and management scheme is still challenging in BANs [8]. The key distribution techniques, like probabilistic key distribution, asymmetric cryptosystems, SPINS and LEAP were developed for distributing security keys in BANs. However such methods are not implemented easily in the body sensors because of restricted sensor resources or needing pre-deployment of secret keys that are difficult to be substituted and are susceptible to offline crack. Moreover, key management’s overheads and distributions in such methods are enormous whenever numerous sensor nodes are