To interdict dark networks and prevent terrorist attacks, security forces require consistent access to relevant intelligence and targeting data. Dark networks often react to a security force’s targeting pressure by obscuring their activities and becoming increasingly covert. Network adaptation to targeting pressure can frequently lead to intelligence gaps and lulls in targeting that may be both predictable and preventable if identified early. This study will examine the efficacy of the two prevailing modes of targeting and their impact on resilient dark networks. To achieve this goal, this thesis will conduct a multivariate path analysis using temporal, geospatial, and relational data of a select dark network as these two modes of intelligence collection and targeting are employed against the network over time. By achieving this goal, this thesis will generate policy recommendations for operationalizing the outcomes of this study in order to better formulate how the prevailing modes of targeting can more effectively be implemented to address adaptive terrorist threats.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 1508718571-11-1
Quantità: 1 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Print on Demand. Codice articolo I-9781508718574
Quantità: Più di 20 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9781508718574
Quantità: Più di 20 disponibili