Secure and precise location verification using distance bounding and simultaneous multilateration

Chiang, Jerry T.; Haas, J. H. De; Hu, Yih-Chun

doi:10.1145/1514274.1514301

Cited by 66 publications

(53 citation statements)

References 12 publications

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“…Neighbor position verification was studied in the context of ad-hoc and sensor networks; however, existing NPV schemes often rely on fixed [5], [6] or mobile [7] trustworthy nodes, which are assumed to be always available for the verification of the positions announced by third parties. In [8], an NPV protocol is proposed that first lets nodes calculate distances to all neighbors, and then commends that all triplets of nodes encircling a pair of other nodes act as verifiers of the pair's positions [2].…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Neighbor Discovery and Location Verification (NDLV) Scheme in Mobile Ad Hoc Networks against Adversarial Nodes

Gnanamanoharan¹,

Bensraj²

2016

CAE

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A mobile ad hoc network (MANET) is a continuously selfconfiguring, infrastructure-less network of mobile devices connected without wires. Each node supports the routing process of the communication to improve the overall throughput in entire network. Due random movement neighbor nodes comes into the coverage area of a base station and leaves at every fraction of time, which must be trusted for service handling. Adversary nodes replies with the route discovery phase using false location information with the intension to get participate in the routing process. After gets selected it simply discard the packets received, or manipulate the packets, or else it will never receive the packets because of the false location. This makes considerable amount of performance degradation. Routing algorithms for MANETs usually assume that nodes are cooperative and non-malicious. Hence a adversary or malicious node can easily become an important routing agent and disrupt network operations by disobeying the protocol specifications. The "Neighbor Discovery and Location Verification (NDLV) is a scheme utilized to protect the network from adversary nodes by verifying the location of neighbor nodes to improve performance and efficiency in MANET's. The NDLV Scheme identifies a trusted neighbor nodes by extracting timing, finding location and computing the distance between each pair of nodes. The scheme adapts quickly to location changes when node movement is frequent, yet requires little or no overhead during the periods in which hosts move less frequently. The performance analysis and simulation are carried out to compare with un trusted system based on existing AODV based on the quantitative metrics packet delivery ratio, routing overhead and end-to-end delay. The simulated result helps to understand the performance of NDLV in two different scenarios. General TermsMobile AdHoc Network, Adversarial node attacks.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis of Neighbor Discovery and Location Verification (NDLV) Scheme in Mobile Ad Hoc Networks against Adversarial Nodes

Gnanamanoharan¹,

Bensraj²

2016

CAE

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“…Multilateration scheme [3] is used to verify the prover's location. In this scheme verifier and prover is mainly used.…”

Section: Bmentioning

confidence: 99%

Secure Neighbor Position Verification for Mobile Ad Hoc Network

Balaji¹,

Gopinathan²

2015

International Journal of Advanced Research in Computer and Comm

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Routes in mobile ad hoc networks can be disconnected due to the movement of nodes. By this issue the transmission of data is not secure and the adversarial nodes can easily attack the other nodes. These adversarial nodes affect the performance in networks and so, it is more important to identify the neighbor node in mobile ad hoc networks. To secure data and to minimize adversary attacks, the mobile node is required to learn the discovery and neighbor's position which is more challenging in mobile ad hoc networks. In this paper, the fully distributed Enhanced NPV (ENPV) scheme is proposed and it is robust against colluding adversaries. This ENPV protocol can prevent maximum number of adversaries attack.

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“…For example a malicious user is able to send fake GPS coordinates. In order to solve this problem, the use of trusted computing hardware-such as Trusted Platform Module(TPM) [12]-and the implementation of distant bounding protocols-such as in [13]-will be considered. Finally a version of our architecture compatible with the ONS service will be considered…”

Section: Related Workmentioning

confidence: 99%

Towards secure and context-aware information lookup for the Internet of Things

Giannikos

Kokoli

Fotiou

et al. 2013

2013 International Conference on Computing, Networking and Communications (ICNC)

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Abstract-The Internet of Things (IoT) is receiving more and more attention from the research community. The opportunities it creates for new services make it an intriguing technological step. Based on this paradigm, objects (things) become recognizable and gain intelligence by exchanging information with their environment or by having access to information aggregated by other objects. Huge amount of information is expected to be generated, raising at the same time significant concerns: the generated information has to be organized in a meaningful way that facilitates the development of a variety of applications, and it should be protected against unauthorized access. In this paper we design and implement an architecture for retrieving information in the IoT. In the proposed scheme, access control policies limit information retrieval and information is organized in such a way that facilitates the development of context aware services.

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Secure and precise location verification using distance bounding and simultaneous multilateration

Cited by 66 publications

References 12 publications

Performance Analysis of Neighbor Discovery and Location Verification (NDLV) Scheme in Mobile Ad Hoc Networks against Adversarial Nodes

Performance Analysis of Neighbor Discovery and Location Verification (NDLV) Scheme in Mobile Ad Hoc Networks against Adversarial Nodes

Secure Neighbor Position Verification for Mobile Ad Hoc Network

Towards secure and context-aware information lookup for the Internet of Things

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