ElliPS: A Privacy Preserving Scheme for Sensor Data Storage and Query

Abstract

Abstract-With in-network sensor data storage and query, storage nodes are responsible for storing the data collected by sensor nodes and answering queries from users. Thus, without proper protection for data types and user queries, compromise of storage nodes and/or sensor nodes may reveal sensitive information about the sensed environment as well as users' private interests and query patterns. In this paper, we explore trade-offs between privacy, computation overhead, communication overhead, network flexibility and network complexity, and propose ElliPS (Elliptic curve based Privacy Scheme) to provide joint protection on data type privacy and query privacy in the presence of sensor node compromise, storage node compromise, or under collusive attacks by compromised sensor nodes and storage nodes together. Extensive analysis and simulation are conducted to verify the security properties and efficiency of the proposed scheme.

A Novel Digital Certificate Based Remote Data Access Control Scheme in WSN

“…As a note, the purposes of collusion users are to obtain more data with the key. By comparing with directly capturing node and intercepting attacks, collusion can save overhead and is hard to be detected [16]. As shown in Figure 6, three schemes have almost the same abilities against attacks when there are few collusion users.…”

Application and analysis of multidimensional negative surveys in participatory sensing applications

“…Privacy-preserving algorithms have been developed for data mining [14][15][16][17], data aggregation [4,[18][19][20][21][22], and other applications [23,24]. There are four main classes of solutions: perturbation, k-anonymity, secure multi-party computation, and homomorphic encryption.…”

Securing sensor data storage and query based on k‐out‐of‐ n coding

“…A few related works [13][14][15][16][17][18] regarding secure distributed data storage and query can be found in the literature, but none of them satisfies the overall requirements of data confidentiality, dependability, integrity, and efficiency. The work in [13] designed an adaptive polynomial-based data storage scheme for efficient data management.…”

“…However, it cannot deal with collusive attacks and pollution attacks by compromised sensor nodes. In , the author proposed an elliptic curve based privacy scheme by introducing the concept of ‘anonymizer’, which has been used for Internet applications. It hides the untrustworthy data sources from the storage nodes under the collusive attacks of sensor nodes, storage nodes, and anonymizers.…”