A mobility camouflaging evaluation tool

Authors:
Dana Steil;Xiaoyan Hong;Li Ding
Affiliations:
University of Alabama, Tuscaloosa, AL;University of Alabama, Tuscaloosa, AL;University of Alabama, Tuscaloosa, AL
Venue:
Proceedings of the 47th Annual Southeast Regional Conference
Year:
2009

Citing 8
Cited 0

k-anonymity: a model for protecting privacy

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
ANODR: anonymous on demand routing with untraceable routes for mobile ad-hoc networks

Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Mix Zones: User Privacy in Location-aware Services

PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Enhancing Source-Location Privacy in Sensor Network Routing

ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
AnonDSR: efficient anonymous dynamic source routing for mobile ad-hoc networks

Proceedings of the 3rd ACM workshop on Security of ad hoc and sensor networks
Protecting Location Privacy Through Path Confusion

SECURECOMM '05 Proceedings of the First International Conference on Security and Privacy for Emerging Areas in Communications Networks
Towards Privacy-Aware Location-Based Database Servers

ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
AMOEBA: Robust Location Privacy Scheme for VANET

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes an innovative Mobility Camouflaging Evaluation Tool (MCET) for mobile users traveling on a predefined geo-spatial graph. MCET is a customizable platform for evaluating the effectiveness of Mobility Camouflaging Algorithms (MCAs) and Adversary Observation Algorithms (AOAs). AOAs use observations of mobile user wireless transmissions to trace their movements. MCAs are designed to reduce the ability of AOAs to construct accurate traces. Specifically, MCAs camouflage the mobile user's movements by routing them "together" yet attempting to minimize the overhead of additional travel. The AOSs and MCAs that are developed by users and plugged into MCET produce tabular results for evaluation of mobile user movement logs that are also rendered in Google Earth.