COMPUTATIONAL ANALYSIS OF TERRORIST GROUPS LASHKAR-E-TAIBA PDF

• College of Computer and Information Sciences. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba. By: V. S. Subrahmanian. Additional. Buy Computational Analysis of Terrorist Groups: Lashkar-E-Taiba at Walmart. com. The group has instigated terrorist attacks in Kashmir and Executive Summary: Lashkar-e-Taiba (LeT), meaning “Army of the Pure,” is a violent Islamist .. et al., Indian Mujahideen: Computational Analysis and Public Policy.

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Let’s connect Contact Details Facebook Twitter. Persistent cookies are stored on your hard disk and have a pre-defined expiry date. Computational Analysis of Terrorist Groups: A typical rule states that two months after Lashkar-e-Taiba operatives were arrested and Lashkar-e-Taiba operatives were on trial in either Lashkar-e-faiba or Pakistan, there was an 88 percent probability of Lashkar-e-Taiba engaging in clashes with local security forces in which Lashkar-e-Taiba operatives are killed.

It appears that the U of MD had the inspiration to apply those programs and methods in a different area. Kinda like the movie War Games. Good intel, with excellent analysis, provided to solid politicians and military leaders, isn’t going to stop, fix or solve everything.

This table is then mined using sophisticated data mining algorithms in order to gain detailed, mathematical, computational and statistical insights into LeT and its operations. After 10 years of counter Al Qaeda terrorisr, LeT is considered by many in the counter-terrorism community to be an even greater threat to the US and world peace than Al Qaeda.

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They are talking about figuring out what people are likely to do in the future and learning how to affect their behavior, based upon what they’ve done in the past. Besides killing hundreds of civilians, LeT threatens the stability of South Asia because its attacks heighten tensions between nuclear-armed rivals India and Pakistan.

But you can blame the machine. Email address subscribed successfully. Cookies come in two flavours – persistent and transient. For example, the killing of Lashkar-e-Taiba commanders is often followed by the increased likelihood of attacks on civilians but fewer cases of other attacks. This doesn’t mean that anyone terforist uses your computer can access your account information as we separate association what the cookie provides from authentication.

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Computational Analysis of Terrorist Groups: Lashkar-e-Taiba | UMIACS

This book also provides a detailed history of Lashkar-e-Taiba based on extensive analysis conducted by using open source information and public statements. Subscribe to our newsletter Some error text Name. The difference is the computer tech allows you to have much more good knowledge about what they have done in the past, if you have the right kind of programs to sift through that behavior.

Given these rules about the likelihood of LeT actions, a new Policy Computation Algorithm identifies sets of actions that reduce the likelihood of LeT attacks. Though I am second to none in my skepticism of high tech tron slinging, this article impressed me. Presented at an international symposium on Lashkar-e-Taiba held in Washington on Sep 10,the study also confirms traditional wisdom that pressuring Pakistan to rein in its terrorist proxies and disrupt LeT terrorist training camps is also necessary to reduce the scope of LeT attacks.

We never store sensitive information about our customers in cookies. The authors of the study, which was carried out at the University of Maryland, are V. Companies like Google and Amazon use these kinds of analytic methodologies to model the behaviors of customers every day. Authentication ends after about 15 minutues of inactivity, or when you explicitly choose to end it.

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Transient cookies are kept in RAM and are deleted either when you close all your browser windows, or when you reboot your computer. All you have to do is look at how much money they make. Decision-makers dealing with deadly threats to national security should have the same kinds of tools available. This book presents how to quantify both the environment in which LeT operate, and the actions it took over a year period, and represent it as a relational database table.

The study also is being published as a book: But, since this has proved difficult to do in practice, counter-terror agencies should also seek methods of sowing internal dissent within Lashkar-e-Taiba, a strategy that has been used successfully against other terrorist organizations.

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I just wish they would explain clearly without the jargon. Yes it can figure the probabilities, probably courses of action etc. Lashkar-e-Taiba is the first book that demonstrates how to use modern computational analysis techniques including methods for big data analysis.

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This book primarily focuses on one famous terrorist group known as Lashkar-e-Taiba or LeTand how it operates.

Further, since the assault on Mumbai, information on Lashkar-e-Taiba suggests that it has increasingly turned its attention towards attacking the West not only in Afghanistan but also in Europe and Australia. Advanced-level students in computer science will also find this valuable as a reference book. Each chapter includes a case study, as well as a slide describing the key results which are available on the authors web sites.

However I think it authors don’t have it quite right. Lashkar-e-Taiba provides an in-depth look at Web intelligence, and how advanced mathematics and modern computing technology can influence the insights we have on terrorist groups.

It is a great idea. For example, at loot.

Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

The UMD researchers mined this data for temporal probabilistic rules that not only identify conditions under which different types of terror strikes are carried out by LeT or its affiliates, but also the time delay with which these actions occur.

What the heck does “temporal probabilistic rules” mean? The problem with it is the language it uses.