Using as their case the Pakistani-backed Lashkar-e-Taiba (“LeT”), the perpetrator of the dramatic attack on Mumbai in Nov 2008, the authors examine in detail the group’s ideology, and all pertinent facts available, from their relations with other Islamist groups to their propensity for attacks on holidays.
The authors’ objective is to derive from the data what they term “temporal probabilistic” rules to determine what action to thwart LeT’s campaign will likely have the most success and indeed which of our actions may effectively counter Let attacks of one type yet actually weaken us against others.
The author’s care and precision are exemplary and yield a rich beginning to the potential utilization of such probabilistic modeling as a broadly used for combating many types of terrorism.
Author: VS Subrahmanian, A Mannes, A Sliva, J Shakari
Features: HB, Variety Book Depot