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008 220601s2019 sz | s |||| 0|eng d
020 _a9783031015274
_9978-3-031-01527-4
024 7 _a10.1007/978-3-031-01527-4
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC067000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621,382
_223
100 1 _aKumar, Vimal.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979536
245 1 0 _aSecure Sensor Cloud
_h[electronic resource] /
_cby Vimal Kumar, Amartya Sen, Sanjay Madria.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIII, 126 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Algorithms and Software in Engineering,
_x1938-1735
505 0 _aPreface -- Acknowledgments -- Introduction -- Preliminaries -- Sensor Cloud Architecture and Implementation -- Risk Assessment in a Sensor Cloud -- Secure Aggregation of Data in a Sensor Cloud -- Access Control of Aggregated Data in Sensor Clouds -- Efficient and Secure Code Dissemination in Sensor Clouds -- Bibliography -- Authors' Biographies.
520 _aThe sensor cloud is a new model of computing paradigm for Wireless Sensor Networks (WSNs), which facilitates resource sharing and provides a platform to integrate different sensor networks where multiple users can build their own sensing applications at the same time. It enables a multi-user on-demand sensory system, where computing, sensing, and wireless network resources are shared among applications. Therefore, it has inherent challenges for providing security and privacy across the sensor cloud infrastructure. With the integration of WSNs with different ownerships, and users running a variety of applications including their own code, there is a need for a risk assessment mechanism to estimate the likelihood and impact of attacks on the life of the network. The data being generated by the wireless sensors in a sensor cloud need to be protected against adversaries, which may be outsiders as well as insiders. Similarly, the code disseminated to the sensors within the sensor cloud needs to be protected against inside and outside adversaries. Moreover, since the wireless sensors cannot support complex and energy-intensive measures, the lightweight schemes for integrity, security, and privacy of the data have to be redesigned. The book starts with the motivation and architecture discussion of a sensor cloud. Due to the integration of multiple WSNs running user-owned applications and code, the possibility of attacks is more likely. Thus, next, we discuss a risk assessment mechanism to estimate the likelihood and impact of attacks on these WSNs in a sensor cloud using a framework that allows the security administrator to better understand the threats present and take necessary actions. Then, we discuss integrity and privacy preserving data aggregation in a sensor cloud as it becomes harder to protect data in this environment. Integrity of data can be compromised as it becomes easier for an attacker to inject false data in a sensor cloud, and due to hop by hopnature, privacy of data could be leaked as well. Next, the book discusses a fine-grained access control scheme which works on the secure aggregated data in a sensor cloud. This scheme uses Attribute Based Encryption (ABE) to achieve the objective. Furthermore, to securely and efficiently disseminate application code in sensor cloud, we present a secure code dissemination algorithm which first reduces the amount of code to be transmitted from the base station to the sensor nodes. It then uses Symmetric Proxy Re-encryption along with Bloom filters and Hash-based Message Authentication Code (HMACs) to protect the code against eavesdropping and false code injection attacks.
650 0 _aSignal processing.
_94052
650 1 4 _aSignal, Speech and Image Processing.
_931566
700 1 _aSen, Amartya.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979537
700 1 _aMadria, Sanjay.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979538
710 2 _aSpringerLink (Online service)
_979539
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000157
776 0 8 _iPrinted edition:
_z9783031003998
776 0 8 _iPrinted edition:
_z9783031026553
830 0 _aSynthesis Lectures on Algorithms and Software in Engineering,
_x1938-1735
_979540
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01527-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c84796
_d84796