The DOI matches its Crossref record.
Re‐Engineering the Immigration System: A Case for Data Mining and Information Assurance to Enhance Homeland Security: Part I: Identifying the Current Problems
Abstract
The most significant improvement in homeland security can be achieved by reducing the threat at its source through a fundamental review of the process by which foreign nationals are admitted to and managed while in this country. All 19 hijackers involved in the attacks on 9/11/01 entered this country legally, and unknown numbers of similar enemy combatants have or can do the same. No information was identified in the visa process to link the hijackers to international terrorism, nor was there any information – raw, validated or assessed – to establish that their entry into the United States would be consistent with our security interests. This dual deficit suggests two critical failings. The first – failing to detect their terrorist backgrounds – might be explained in part by the secret and shadowy world of terrorism, the ease by which new identity documents can be procured abroad and the realities of the intelligence business: watch lists will never contain the names of all terrorists. But the second failing – not requiring positive information – is impossible to justify. Why should the visa process not require the existence of positive information that establishes the identity of the applicant by virtue of a validated history? Why would we not resort to the abundance of extant information that is compiled daily on individuals in our global economy in this information age? In short, why should the process for the issuance of a visa be so much less rigorous than for a VISA cr…
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“In addition to the increased appetite for surveillance technologies in the post 9/11 security environment, loud calls for uninhibited information sharing between agencies largely ignored the privacy ramifications of implementing systems and security architectures of mass surveillance.”
From Mapping Interfacial Regimes of Control: A Qualitative Analysis of America’s Post-9/11 Security Technology Infrastructure (2020) · cites this paper as Strickland and Willard 2002
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Knight, E., & Gekker, A. (2020) · Surveillance & Society · doi:10.24908/ss.v18i2.13268 · Cited by 16
Metadata
- Authors
- Strickland, L. S., & Willard, J.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Strickland, Lee S.
- Willard, Jennifer
- Venue
- Bulletin of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2002-10
- Volume
- 29
- Issue
- 1
- Pages
- 16-21
- ISSN
- 0095-4403 (ISSN-L)
- 1550-8366
- OpenAlex
- W2011703072
- Cited by
- 2
- References
- 0
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bulletin of the American Society for Information Science and Technology (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Terrorism, Counterterrorism, and Political Violence
- Social Sciences › Political Science and International Relations › Border Security and International Relations
- Social Sciences › Political Science and International Relations › Intelligence, Security, War Strategy
- Keywords
- immigration reform, homeland security, data mining, information assurance, September 11 attacks, Immigration and Naturalization Service, information superiority, data sharing, data integration, legacy systems, preventive security
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- CoChat. (2026). Citation check: Re‐Engineering the Immigration System: A Case for Data Mining and Information Assurance to Enhance Homeland Security: Part I: Identifying the Current Problems. https://app.cochat.ai/papers/10.1002/bult.262
- The paper
- Strickland, L. S., & Willard, J. (2002). Re‐Engineering the Immigration System: A Case for Data Mining and Information Assurance to Enhance Homeland Security: Part I: Identifying the Current Problems. Bulletin of the American Society for Information Science and Technology. https://doi.org/10.1002/bult.262