Countering Terrorism through Information and Privacy Protection Technologies

Popp, Robert L.; Poindexter, J. Carl

doi:10.1109/msp.2006.147

Cited by 28 publications

(14 citation statements)

References 5 publications

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“…In experiments conducted by DARPA, the ability of analysts to work counterterrorism problems was assessed, with and without the aid of new information technology tools (Popp & Poindexter 2006 ). SEAS was one of the tools employed.…”

Section: Evaluation Of Seasmentioning

confidence: 99%

Knowledge Cartography

2014

Advanced Information and Knowledge Processing

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Section: Evaluation Of Seasmentioning

confidence: 99%

Knowledge Cartography

2014

Advanced Information and Knowledge Processing

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“…Similar to a privacy appliance [8], an agent in the super-peer is a unique law-aware guardian that provides LaaS to its peers. The super-peer is also a trusted proxy of an SPD that provides a query interface between its peers and a user.…”

Section: Semantic Policy Infrastructurementioning

confidence: 99%

Semantic Legal Policies for Data Exchange and Protection across Super-Peer Domains in the Cloud

Cheng

et al. 2012

Future Internet

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In semantic policy infrastructure, a Trusted Legal Domain (TLD), designated as a Super-Peer Domain (SPD), is a legal cage model used to circumscribe the legal virtual boundary of data disclosure and usage in the cloud. Semantic legal policies in compliance with the law are enforced at the super-peer within an SPD to enable Law-as-a-Service (LaaS) for cloud service providers. In addition, cloud users could query fragmented but protected outsourcing cloud data from a law-aware super-peer, where each query is also compliant with the law. Semantic legal policies are logic-based formal policies, which are shown to be a combination of OWL-DL ontologies and stratified Datalog rules with negation, i.e., so-called non-monotonic cq-programs, for policy representation and enforcement. An agent at the super-peer is a unique law-aware guardian that provides protected data integration services for its peers within an SPD. Furthermore, agents at the super-peers specify how law-compliant legal policies are unified with each other to provide protected data exchange services across SPDs in the semantic data cloud

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“…The key premise of behavioural pattern recognition is that, whether in an airport or a transit station, terrorists are there for a purpose that is irregular and that should manifest itself in their behaviour. Similarly, the key assumption of rule-based discovery is that terror plotting is a distinct type of activity and so there must be some form of expression in transactional data (Popp and Poindexter, 2006).…”

Section: Automated Detection Systemsmentioning

confidence: 99%

Trends in Terrorist Detection Systems

Koc-Menard¹

2009

Journal of Homeland Security and Emergency Management

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Industrialized countries face the challenge of spotting international terrorists at points of entry and homegrown terrorists on their borders. This paper reviews the development of detection programs since 9/11 and identifies three emerging trends that, it argues, will shape the security environment in North America in the years to come. The first trend is a move away from evidence-based detection to rule-based discovery. The second trend is a move away from the observation of actual behaviour to the analysis of electronic records. The third trend is a move away from national discovery systems to multinational structures. The paper will explain each of these three trends and briefly explore their implications for individual privacy.

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Countering Terrorism through Information and Privacy Protection Technologies

Cited by 28 publications

References 5 publications

Knowledge Cartography

Knowledge Cartography

Semantic Legal Policies for Data Exchange and Protection across Super-Peer Domains in the Cloud

Trends in Terrorist Detection Systems

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