Android discovery and verification of neighbor positions in mobile ad hoc networks

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DISCOVERY AND VERIFICATION OF NEIGHBOR POSITIONS
IN MOBILE AD HOC NETWORKS
ABSTRACT:
A growing number of ad hoc networking protocols and location-aware services require that
mobile nodes learn the position of their neighbors. However, such a process can be easily abused
or disrupted by adversarial nodes. In absence of a priori trusted nodes, the discovery and
verification of neighbor positions presents challenges that have been scarcely investigated in the
literature.
In this paper, we address this open issue by proposing a fully distributed cooperative solution
that is robust against independent and colluding adversaries, and can be impaired only by an
overwhelming presence of adversaries. Results show that our protocol can thwart more than 99
percent of the attacks under the best possible conditions for the adversaries, with minimal false
positive rates.
ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

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In this paper, we utilize the Several interference revelation techniques proposed for mobile ad hoc networks rely on each node passively monitoring the data forwarding by its next hop. This paper presents quantitative evaluations of false positives and their impact on monitoring based interference revelation for ad hoc networks. Experimental results show that, even for a simple three-node configuration, an actual ad-hoc network suffers from high false positives; these results are validated by Markov and probabilistic models. However, this false positive problem cannot be observed by simulating the same network using popular ad hoc network simulators, such as ns-2, OPNET or Glomosim. To remedy this, a probabilistic noise generator model is implemented in the Glomosim simulator. With this revised noise model, the simulated network exhibits the aggregate false positive behavior similar to that of the experimental tested. Simulations of larger (50-node) ad hoc networks indicate that monitoring-based interference revelation has very high false positives. These false positives can reduce the network performance or increase the overhead. In a simple monitoring-based system where no secondary and more accurate methods are used, the false positives impact the network performance in two ways: reduced throughput in normal networks without attackers and inability to mitigate the effect of attacks in networks with attackers.

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Android discovery and verification of neighbor positions in mobile ad hoc networks

1. DISCOVERY AND VERIFICATION OF NEIGHBOR POSITIONS IN MOBILE AD HOC NETWORKS ABSTRACT: A growing number of ad hoc networking protocols and location-aware services require that mobile nodes learn the position of their neighbors. However, such a process can be easily abused or disrupted by adversarial nodes. In absence of a priori trusted nodes, the discovery and verification of neighbor positions presents challenges that have been scarcely investigated in the literature. In this paper, we address this open issue by proposing a fully distributed cooperative solution that is robust against independent and colluding adversaries, and can be impaired only by an overwhelming presence of adversaries. Results show that our protocol can thwart more than 99 percent of the attacks under the best possible conditions for the adversaries, with minimal false positive rates. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

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