Using active modeling in counterterrorism

Yi Jen Su; Hewijin C. Jiau; Shang Rong Tsai

doi:10.1007/978-3-540-77503-4_10

Using active modeling in counterterrorism

Yi Jen Su
, Hewijin C. Jiau
, Shang Rong Tsai

Department of Electrical Engineering

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

Abstract

Terrorist organizations attain their goals by attacking various targets to jeopardize human lives and intimidate governments. As new terrorist attacks almost always aim to break the mold of old plots, tracing the dynamic behaviors of terrorists becomes crucial to national defense. This paper proposes using active modeling in analyzing unconventional attacks in the design of counterterrorism system. The intelligent terrorism detection system not only detects potential threats by monitoring terrorist networks with identified threat patterns, but also continually integrates new threat features in terrorist behaviors and the varying relationships among terrorists.

Original language	English
Title of host publication	Active Conceptual Modeling of Learning - Next Generation Learning-Base System Development
Pages	122-131
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-540-77503-4_10
Publication status	Published - 2008
Event	1st International Active Conceptual Modeling of Learning Workshop - Tucson, AZ, United States Duration: 2006 Nov 8 → 2006 Nov 8

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4512 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Active Conceptual Modeling of Learning Workshop
Country/Territory	United States
City	Tucson, AZ
Period	06-11-08 → 06-11-08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-77503-4_10

Cite this

Su, Y. J., Jiau, H. C., & Tsai, S. R. (2008). Using active modeling in counterterrorism. In Active Conceptual Modeling of Learning - Next Generation Learning-Base System Development (pp. 122-131). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4512 LNCS). https://doi.org/10.1007/978-3-540-77503-4_10

@inproceedings{ff68e7fb97754fe29214dc5ceffe464a,

title = "Using active modeling in counterterrorism",

abstract = "Terrorist organizations attain their goals by attacking various targets to jeopardize human lives and intimidate governments. As new terrorist attacks almost always aim to break the mold of old plots, tracing the dynamic behaviors of terrorists becomes crucial to national defense. This paper proposes using active modeling in analyzing unconventional attacks in the design of counterterrorism system. The intelligent terrorism detection system not only detects potential threats by monitoring terrorist networks with identified threat patterns, but also continually integrates new threat features in terrorist behaviors and the varying relationships among terrorists.",

author = "Su, \{Yi Jen\} and Jiau, \{Hewijin C.\} and Tsai, \{Shang Rong\}",

note = "Funding Information: Acknowledgments. The research of Yi-Jen Su was partially supported by U.S. National Science Foundation grant: IIS-0326387 and U.S. AFOSR grant: FA9550-05-1-0454.; 1st International Active Conceptual Modeling of Learning Workshop ; Conference date: 08-11-2006 Through 08-11-2006",

year = "2008",

doi = "10.1007/978-3-540-77503-4\_10",

language = "English",

isbn = "3540775021",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "122--131",

booktitle = "Active Conceptual Modeling of Learning - Next Generation Learning-Base System Development",

}

Su, YJ, Jiau, HC & Tsai, SR 2008, Using active modeling in counterterrorism. in Active Conceptual Modeling of Learning - Next Generation Learning-Base System Development. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4512 LNCS, pp. 122-131, 1st International Active Conceptual Modeling of Learning Workshop, Tucson, AZ, United States, 06-11-08. https://doi.org/10.1007/978-3-540-77503-4_10

Using active modeling in counterterrorism. / Su, Yi Jen; Jiau, Hewijin C.; Tsai, Shang Rong.
Active Conceptual Modeling of Learning - Next Generation Learning-Base System Development. 2008. p. 122-131 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4512 LNCS).

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

TY - GEN

T1 - Using active modeling in counterterrorism

AU - Su, Yi Jen

AU - Jiau, Hewijin C.

AU - Tsai, Shang Rong

N1 - Funding Information: Acknowledgments. The research of Yi-Jen Su was partially supported by U.S. National Science Foundation grant: IIS-0326387 and U.S. AFOSR grant: FA9550-05-1-0454.

PY - 2008

Y1 - 2008

N2 - Terrorist organizations attain their goals by attacking various targets to jeopardize human lives and intimidate governments. As new terrorist attacks almost always aim to break the mold of old plots, tracing the dynamic behaviors of terrorists becomes crucial to national defense. This paper proposes using active modeling in analyzing unconventional attacks in the design of counterterrorism system. The intelligent terrorism detection system not only detects potential threats by monitoring terrorist networks with identified threat patterns, but also continually integrates new threat features in terrorist behaviors and the varying relationships among terrorists.

AB - Terrorist organizations attain their goals by attacking various targets to jeopardize human lives and intimidate governments. As new terrorist attacks almost always aim to break the mold of old plots, tracing the dynamic behaviors of terrorists becomes crucial to national defense. This paper proposes using active modeling in analyzing unconventional attacks in the design of counterterrorism system. The intelligent terrorism detection system not only detects potential threats by monitoring terrorist networks with identified threat patterns, but also continually integrates new threat features in terrorist behaviors and the varying relationships among terrorists.

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UR - https://www.scopus.com/pages/publications/49949094486#tab=citedBy

U2 - 10.1007/978-3-540-77503-4_10

DO - 10.1007/978-3-540-77503-4_10

M3 - Conference contribution

AN - SCOPUS:49949094486

SN - 3540775021

SN - 9783540775027

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 122

EP - 131

BT - Active Conceptual Modeling of Learning - Next Generation Learning-Base System Development

T2 - 1st International Active Conceptual Modeling of Learning Workshop

Y2 - 8 November 2006 through 8 November 2006

ER -

Using active modeling in counterterrorism

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

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