TY - GEN
T1 - A dual cloud based secure environmental parameter monitoring system
T2 - 4th International Conference on Cloud Computing, CloudComp 2013
AU - Pooja, B.
AU - Pai, M. M Manohara
AU - Radhika, M. Pai
PY - 2014
Y1 - 2014
N2 - Advancement of technologies has made the presence of Wireless Sensor Networks (WSNs) ubiquitous. The adequacy of WSNs to gather critical information has provided solution to applications in areas such as transport, health care systems, environment monitoring etc. However, due to the limitations of WSNs in terms of memory, computation and scalability, efficient management of WSN data to provide information services to users is a hindrance. In the midst of these issues the resources of cloud computing act as a remedy. But, once the data enters the cloud the owner has no control over it. This imposes a barrier on the confidentiality and integrity of the data being stored in the cloud. In this paper we propose secure sensor-cloud architecture by integrating two different clouds. In this architecture, the sink node outsources data into the cloud after performing the respective hash and the encryption operations. Since the encrypted data and the key required to perform this operation are stored in different databases, the path for a third party to obtain the sensitive information stored in the cloud is being blocked. As the IaaS resources, SaaS and PaaS environments of Cloud Computing are provided by two different cloud service providers (CSPs), both the CSPs will not have complete information of the architecture. This provides inherent security as data storage and data processing are done on different clouds. Therefore the proposed framework provides better services to the users.
AB - Advancement of technologies has made the presence of Wireless Sensor Networks (WSNs) ubiquitous. The adequacy of WSNs to gather critical information has provided solution to applications in areas such as transport, health care systems, environment monitoring etc. However, due to the limitations of WSNs in terms of memory, computation and scalability, efficient management of WSN data to provide information services to users is a hindrance. In the midst of these issues the resources of cloud computing act as a remedy. But, once the data enters the cloud the owner has no control over it. This imposes a barrier on the confidentiality and integrity of the data being stored in the cloud. In this paper we propose secure sensor-cloud architecture by integrating two different clouds. In this architecture, the sink node outsources data into the cloud after performing the respective hash and the encryption operations. Since the encrypted data and the key required to perform this operation are stored in different databases, the path for a third party to obtain the sensitive information stored in the cloud is being blocked. As the IaaS resources, SaaS and PaaS environments of Cloud Computing are provided by two different cloud service providers (CSPs), both the CSPs will not have complete information of the architecture. This provides inherent security as data storage and data processing are done on different clouds. Therefore the proposed framework provides better services to the users.
UR - http://www.scopus.com/inward/record.url?scp=84943223085&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84943223085&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-05506-0_18
DO - 10.1007/978-3-319-05506-0_18
M3 - Conference contribution
AN - SCOPUS:84943223085
SN - 9783319055053
VL - 133
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 189
EP - 198
BT - Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers
PB - Springer Verlag
Y2 - 17 October 2013 through 19 October 2013
ER -