Location Privacy in Unattended Wireless Sensor Networks upon the Requirement of Data Survivability

Chen, Chung-Wei; Tsai, Yuh-Ren

doi:10.1109/jsac.2011.110813

Cited by 21 publications

(11 citation statements)

References 12 publications

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“…In [18] the authors have used replication technique using random hops to ensure data survivability. Since every replica is associated to a source node, the authors have mentioned that increasing the number of replicas exposes the location of the source to the adversary.…”

Section: Related Workmentioning

confidence: 99%

Achieving Data Survivability and Confidentiality in Unattended Wireless Sensor Networks

Sen

Ghosh

Basak

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications

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In Unattended Wireless Sensor Networks (UWSNs) the nodes are subjected to hostile environment for sensing critical data. Due to the unattended nature of the network the sink is not always present. Hence, the nodes in the network are required to function in a distributed way in order to ensure Data Survivability and Data Confidentiality. In this work we address these two issues. We have proposed algorithm(s) to ensure Data Survivability by encryption and data replication. We propose a simple scheme for key management which ensures confidentiality by sharing the key among various nodes in the network so that the adversary cannot read the data by compromising a node in the network. We have compared our scheme with the existing ones, both mathematically and by simulations. Analysis shows that our scheme performs better in terms of overheads and efficiency.

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Section: Related Workmentioning

confidence: 99%

Achieving Data Survivability and Confidentiality in Unattended Wireless Sensor Networks

Sen

Ghosh

Basak

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications

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“…The cell size is set such that a sensor node can reach the CH of its cell, if there is one (Intra-Cluster Communication), and each Base-Station Sensor Node Figure 1: Illustrating how an adversary analyze the traffic using Evidence Theory to detect the location of the BS. (5,9,8,2), E (5,9,8,3), E (5,9,8,4), E (5,9,8,7), E (5,9,8,9), E (5,9,8,12), E (5,9,8,13), E (5,9,8,14) 1 1/27=0.04 CH to reach the CH of a neighbor cell (Inter-Cluster Communication). In addition, the network initialization includes the formation of a temporary flat routing topology in which a multi-hop path is designated from each sensor to the BS.…”

Section: A Initialization and Cluster Formationmentioning

confidence: 99%

“…In order to prevent the adversary from distinguishing the BS through the packet header, the identity of the sensor nodes and BS are often concealed by applying anonymous routing techniques [3][4] [5][6] [7]. However, the operation model of a WSN makes it possible to determine the location of the BS by intercepting transmissions and employing traffic analysis techniques such as Evidence Theory (ET).…”

Section: Introductionmentioning

confidence: 99%

Clustering-Based Mitigation of Anonymity Attacks in Wireless Sensor Networks

Alsemairi¹,

Younis²

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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The use of wireless sensor networks (WSNs) can be advantageous in applications that serve in hostile environments such as security surveillance and military battlefield. The operation of a WSN typically involves collection of sensor measurements at an in-situ Base-Station (BS) that further processes the data and either takes action or reports findings to a remote command center. Thus the BS plays a vital role and is usually guarded by concealing its identity and location. However, the BS can be susceptible to traffic analysis attack. Given the limited communication range of the individual sensors and the objective of conserving their energy supply, the sensor readings are forwarded to the BS over multi-hop paths. Such a routing topology allows an adversary to correlate intercepted transmissions, even without being able to decode them, and apply attack models such as Evidence Theory (ET) in order to determine the position of the BS. This paper proposes a technique to counter such an attack by reshaping the routing topology. Basically, the nodes in a WSN are grouped in unevenly-sized clusters and each cluster has a designated aggregation node (cluster head). An intercluster head routes are then formed so that the BS experiences low traffic volume and does not become distinguishable among the WSN nodes. The simulation results confirm the effectiveness of the proposed technique in boosting the anonymity of the BS.

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“…Contemporary security mechanisms, such as packet header encryption and anonymous routing mechanisms, are often applied to conceal the BS's identity . However, these security mechanisms do not prevent the adversary from eavesdropping on the network and using traffic analysis techniques such as evidence theory (ET) .…”

Section: Introductionmentioning

confidence: 99%

Cross‐layer technique for boosting base‐station anonymity in wireless sensor networks

Alsemairi

Younis

2017

Int J Communication

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A wireless sensor network (WSN) principally is composed of many sensor nodes and a single in situ base station (BS), which are randomly distributed in a given area of interest. These sensor nodes transmit their measurements to the BS over multihop wireless paths. In addition to collecting and processing the sensed data, the BS performs network management operations. Because of the importance of the BS to the WSN, it is the most attractive target of attacks for an adversary. Basically, the adversary opts to locate the BS and target it with denial-of-service attack to temporarily or indefinitely disrupt the WSN operation. The adversary can intercept the data packet transmissions and use traffic analysis techniques such as evidence theory to uncover the routing topology. To counter such an attack, this paper presents a novel technique for boosting the BS anonymity by grouping nodes into clusters and creating multiple mesh-based routing topologies among the cluster heads (CHs). By applying the closed space-filling curves such as the Moore curve, for forming a mesh, the CHs are offered a number of choices for disseminating aggregated data to the BS through inter-CH paths. Then, the BS forwards the aggregated data as well so that it appears as one of the CHs. The simulation results confirm the effectiveness of the proposed technique in boosting the anonymity of the BS. KEYWORDS anonymity, location privacy, traffic analysis, wireless sensor network 1 | INTRODUCTIONRecent advances in microelectronics have made it possible to integrate sensing and communication capabilities in miniaturized devices that are often referred to in the literature as sensor nodes. Interconnecting a large set of these nodes forms a wireless sensor network (WSN) that can serve unattended in harsh environments. A typical WSN includes an in situ base station (BS) that gathers data from the sensor nodes. WSNs are deemed effective in serving applications such as a military surveillance and target tracking where continuous monitoring of an area of interest is critical and human presence is risky and/or prohibitively expensive. In most of these WSN applications, sensor nodes have limited capabilities, eg, limited communication range, energy (battery) supply, and processing capacity. To overcome communication range limitations and to save energy, we find that sensor nodes transmit their measurements to the BS over multihop wireless paths. 1,2 On the other hand, the BS is not resource constrained and can perform network management and process the collected data. Because of the importance of the BS to the WSN, it can be the focus of an adversary who attempts to inflict the most damage to the network operation. The goal of the adversary will be to locate the BS and target it with denial-of-service attack so that the utility of the WSN is nullified. 3,4 Contemporary security mechanisms, such as packet header encryption and anonymous routing mechanisms, are often applied to conceal the BS's identity. [5][6][7][8][9] However, these security mechanisms do not ...

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Location Privacy in Unattended Wireless Sensor Networks upon the Requirement of Data Survivability

Cited by 21 publications

References 12 publications

Achieving Data Survivability and Confidentiality in Unattended Wireless Sensor Networks

Achieving Data Survivability and Confidentiality in Unattended Wireless Sensor Networks

Clustering-Based Mitigation of Anonymity Attacks in Wireless Sensor Networks

Cross‐layer technique for boosting base‐station anonymity in wireless sensor networks

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