Wireless Body Area Network Physical Layer Security Research

With the development of society,health care has aroused more and more attention.Against this background,Wireless Body Area Networks(WBANs),which can help to achieve real-time health monitoring,has grown significantly in the past few years.There is also an increase in the demand of portable and wearable devices.The medical WBANs contain a large number of biomedical data.However,security and privacy are two major obstacles for the development of medical WBAN.One of the major challenges for popularizing WBAN is to protect user's vital personal information security.Conventional authentication technologies are implemented at using OSI model,which of course needs large amount of recourse and significant changes on the hardware and software level are also needed.The complexity and sensitivity of the body-mount sensors mean that to make full use of innovative complementary solutions,new security protocol is needed besides network layer security protocol.Due to this reason,it is very urgent and necessary to build effective and energy friendly authentication algorithms.In this thesis,physical layer security approaches are considered as the candidate.Initial trust issues need to be resolved as a prelude to physical layer security key negotiation.Chapter 2 presents a Patterns of Life Aided Authentication Model for solving this problem.The model uses user behavior characterizes to create wireless channel fingerprints.The performance of the proposed model is assessed by experiment at 2.45 GHz wireless channels.Experimental results show that,with the user in different circumstances of the habit behavior,0.852 ~ 0.959 high correlation values can be used to assist in identity authentication,which in the future study can be further expanded.Chapter 3 examines the usability of the dual threshold algorithm from the angle of physical layer security(PLS).The algorithm is based on the behavioral fingerprint extracted by the user from the radio channel feature.The results show that the method provides a high degree of security,can prevent false authentication attacks.Chapter 4 studies the realization scheme of this algorithm.The scheme utilizes wireless channel characteristics to characterize bornprints.Chapter 5 summarizes and combs the internal relations of chapters above.