Forensic tracking and mobility prediction in vehicular networks

Saif Al-Kuwari; Stephen Wolthusen

doi:10.1007/978-3-642-15506-2_7

Forensic tracking and mobility prediction in vehicular networks

Saif Al-Kuwari^*, Stephen Wolthusen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Vehicular networks have attracted significant attention in the context of traffic control and management applications. However, vehicular networks also have important applications in crime prevention and criminal investigations. This paper presents a system for passively tracking a target vehicle whose driver is assumed to be a "person of interest." The tracking system relies on the dynamic recruitment of neighboring vehicles of the target as agents. A mobility prediction algorithm is used to probabilistically predict the target's future movement and to adjust the tracking process. Combining agent-based tracking and mobility prediction enables a target vehicle to be passively localized and tracked in an efficient manner.

Original language	English
Title of host publication	Advances in Digital Forensics VI - Sixth IFIP WG 11.9 International Conference on Digital Forensics, Revised Selected Papers
Publisher	Springer New York LLC
Pages	91-105
Number of pages	15
ISBN (Print)	3642155057, 9783642155055
DOIs	https://doi.org/10.1007/978-3-642-15506-2_7
Publication status	Published - 2010
Externally published	Yes

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	337 AICT
ISSN (Print)	1868-4238

Keywords

Vehicular networks
mobility prediction
passive tracking

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10.1007/978-3-642-15506-2_7

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Al-Kuwari, S., & Wolthusen, S. (2010). Forensic tracking and mobility prediction in vehicular networks. In Advances in Digital Forensics VI - Sixth IFIP WG 11.9 International Conference on Digital Forensics, Revised Selected Papers (pp. 91-105). (IFIP Advances in Information and Communication Technology; Vol. 337 AICT). Springer New York LLC. https://doi.org/10.1007/978-3-642-15506-2_7

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title = "Forensic tracking and mobility prediction in vehicular networks",

abstract = "Vehicular networks have attracted significant attention in the context of traffic control and management applications. However, vehicular networks also have important applications in crime prevention and criminal investigations. This paper presents a system for passively tracking a target vehicle whose driver is assumed to be a {"}person of interest.{"} The tracking system relies on the dynamic recruitment of neighboring vehicles of the target as agents. A mobility prediction algorithm is used to probabilistically predict the target's future movement and to adjust the tracking process. Combining agent-based tracking and mobility prediction enables a target vehicle to be passively localized and tracked in an efficient manner.",

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author = "Saif Al-Kuwari and Stephen Wolthusen",

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series = "IFIP Advances in Information and Communication Technology",

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Al-Kuwari, S & Wolthusen, S 2010, Forensic tracking and mobility prediction in vehicular networks. in Advances in Digital Forensics VI - Sixth IFIP WG 11.9 International Conference on Digital Forensics, Revised Selected Papers. IFIP Advances in Information and Communication Technology, vol. 337 AICT, Springer New York LLC, pp. 91-105. https://doi.org/10.1007/978-3-642-15506-2_7

Forensic tracking and mobility prediction in vehicular networks. / Al-Kuwari, Saif; Wolthusen, Stephen.
Advances in Digital Forensics VI - Sixth IFIP WG 11.9 International Conference on Digital Forensics, Revised Selected Papers. Springer New York LLC, 2010. p. 91-105 (IFIP Advances in Information and Communication Technology; Vol. 337 AICT).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Forensic tracking and mobility prediction in vehicular networks

AU - Al-Kuwari, Saif

AU - Wolthusen, Stephen

PY - 2010

Y1 - 2010

N2 - Vehicular networks have attracted significant attention in the context of traffic control and management applications. However, vehicular networks also have important applications in crime prevention and criminal investigations. This paper presents a system for passively tracking a target vehicle whose driver is assumed to be a "person of interest." The tracking system relies on the dynamic recruitment of neighboring vehicles of the target as agents. A mobility prediction algorithm is used to probabilistically predict the target's future movement and to adjust the tracking process. Combining agent-based tracking and mobility prediction enables a target vehicle to be passively localized and tracked in an efficient manner.

AB - Vehicular networks have attracted significant attention in the context of traffic control and management applications. However, vehicular networks also have important applications in crime prevention and criminal investigations. This paper presents a system for passively tracking a target vehicle whose driver is assumed to be a "person of interest." The tracking system relies on the dynamic recruitment of neighboring vehicles of the target as agents. A mobility prediction algorithm is used to probabilistically predict the target's future movement and to adjust the tracking process. Combining agent-based tracking and mobility prediction enables a target vehicle to be passively localized and tracked in an efficient manner.

KW - Vehicular networks

KW - mobility prediction

KW - passive tracking

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DO - 10.1007/978-3-642-15506-2_7

M3 - Conference contribution

AN - SCOPUS:78651066806

SN - 3642155057

SN - 9783642155055

T3 - IFIP Advances in Information and Communication Technology

SP - 91

EP - 105

BT - Advances in Digital Forensics VI - Sixth IFIP WG 11.9 International Conference on Digital Forensics, Revised Selected Papers

PB - Springer New York LLC

ER -

Forensic tracking and mobility prediction in vehicular networks

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