000			03640nam a22005055i 4500
001			978-3-319-24717-5
003			DE-He213
005			20200420221250.0
007			cr nn 008mamaa
008			151109s2015 gw | s |||| 0|eng d
020			_a9783319247175 _9978-3-319-24717-5
024	7		_a10.1007/978-3-319-24717-5 _2doi
050		4	_aTK5105.5-5105.9
072		7	_aUKN _2bicssc
072		7	_aCOM075000 _2bisacsh
082	0	4	_a004.6 _223
100	1		_aZhang, Kuan. _eauthor.
245	1	0	_aSecurity and Privacy for Mobile Healthcare Networks _h[electronic resource] / _cby Kuan Zhang, Xuemin (Sherman) Shen.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXIV, 118 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aWireless Networks, _x2366-1186
505	0		_aIntroduction -- Security and Privacy Challenges in MHN -- Secure Health Data Collection in MHN -- Health Data Sharing with Misbehavior Detection -- Privacy-preserving Health Data Processing -- Access Control for MHN -- Summary and Future Research Directions.
520			_aThis book examines state-of-art research on designing healthcare applications with the consideration of security and privacy. It explains the Mobile Healthcare Network (MHN) architecture and its diverse applications, and reviews the existing works on security and privacy for MHNs. Critical future challenges and research problems are also identified. Using a Quality-of-Protection perspective, the authors provide valuable insights on security and privacy preservation for MHNs. Some promising solutions are proposed to accommodate the issues of secure health data transmission, misbehavior detection, health data processing with privacy preservation and access control in MHNs. Specifically, the secure health data aggregation explores social spots to help forward health data and enable users to select the optimal relay according to their social ties and health data priority. The secure aggregation achieves the desirable delivery ratio with reasonable communication costs and lower delay for the data in different priorities. A proposed misbehavior detection scheme distinguishes Sybil attackers from normal users by comparing their mobile contacts and pseudonym changing behaviors. The detection accuracy is high enough to resist various Sybil attack s including forgery. In addition, the health data processing scheme can analyze the encrypted health data and preserve user's privacy at the same time. Attribute based access control can achieve fine-grained access control with user-defined access policy in MHNs. Security and Privacy for Mobile Healthcare Networks is designed for researchers and advanced-level students interested in healthcare security and secure data transmission.
650		0	_aComputer science.
650		0	_aComputer communication systems.
650		0	_aComputer security.
650		0	_aElectrical engineering.
650	1	4	_aComputer Science.
650	2	4	_aComputer Communication Networks.
650	2	4	_aSystems and Data Security.
650	2	4	_aCommunications Engineering, Networks.
700	1		_aShen, Xuemin (Sherman). _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319247151
830		0	_aWireless Networks, _x2366-1186
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-24717-5
912			_aZDB-2-SCS
942			_cEBK
999			_c52539 _d52539