Terrorism-Centric Behavior Recognition and Adversarial Threat Forecasting
Bibliographic Data
| ID | 20185789 |
|---|---|
| Authors | James L Regens (0000-0002-2067-2547), Nicholas A Mould, Carl J Jensen, David N Edger |
| Year | 2016 |
| Volume | 29 |
| Issue | 2 |
| Pages | 328-340 |
| Publication date | 2016-04-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Intelligence and CounterIntelligence (JOURNAL) |
| Journal identifiers | ISSN: 0885-0607 • E-ISSN: 1521-0561 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/08850607.2015.1083317 |
| OpenAlex | W2295194492 |
| Language | EN |
| References cited | 16 |
Analyzing raw information collected by humans to characterize prospective adversarial threats is a core function of intelligence, colloquially referred to as the “world's second oldest profession,”
Adversarial system · Computer security · Criminology · Political science · Terrorism · Advanced Text Analysis Techniques · Cognitive Science and Education Research · Computer Science · Law · Psychology · Terrorism, Counterterrorism, and Political Violence · Artificial Intelligence
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| Citation velocity | historical |
|---|---|
| Highly cited | No |