V S Subrahmanian
Biographic Data
| ID | 4567657 |
|---|---|
| NAME | V S Subrahmanian |
| GIVEN NAMES | V S |
| FAMILY NAME | Subrahmanian |
| SIGNATURE | SUBRAHMANIAN V S |
| AFFILIATIONS | Dartmouth College |
| VERIFIED | No |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 5 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Machine Learning Techniques to Predict Terrorist Attacks
A Machine Learning Based Model of Boko Haram
When Jihadist Factions Split
This article investigates group fragmentation in the al-Qaeda and Islamic State ecosystems, employing network analysis to examine the impact of specific network conditions on the probability of a faction splitting. Using new datasets of faction–faction (FF) and terrorist–terrorist (TT) relationships, the article tests 18 hypotheses exploring connections between factional splits and the number, polarity, and strength of FF and TT relationships, am…
Cyber Deception
Cyber Warfare
Scaling Subgraph Matching Queries in Huge Networks
Stun
Moving Target Defense II
Our cyber defenses are static and are governed by lengthy processes, e.g., for testing and security patch deployment. Adversaries could plan their attacks carefully over time and launch attacks at cyber speeds at any given moment. We need a new class of defensive strategies that would force adversaries to continually engage in reconnaissance and re-planning of their cyber operations. One such strategy is to present adversaries with a moving targe…
Computational Analysis of Terrorist Groups
Computational Analysis of Terrorist Groups: 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. This book primarily focuses on one famous terrorist group known as Lashkar-e-Taiba (or LeT), and how it operates. After 10 years of counter Al Qaeda operations, LeT is considered by many in the counter-terrorism community to b…
Handbook of Computational Approaches to Counterterrorism
Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and moder…
Indian Mujahideen
Advance Praise for Indian Mujahideen: Computational Analysis and Public Policy “This book presents a highly innovative computational approach to analyzing the strategic behavior of terrorist groups and formulating counter-terrorism policies. It would be very useful for international security analysts and policymakers.” Uzi Arad, National Security Advisor to the Prime Minister of Israel and Head, Israel National Security Council (2009-2011) “An im…
Betweenness computation in the single graph representation of hypergraphs
Cape
Applications Of Paraconsistency In Data And Knowledge Bases
Multimedia Information Systems
When Jihadist Factions Split
This article investigates group fragmentation in the al-Qaeda and Islamic State ecosystems, employing network analysis to examine the impact of specific network conditions on the probability of a faction splitting. Using new datasets of faction–faction (FF) and terrorist–terrorist (TT) relationships, the article tests 18 hypotheses exploring connections between factional splits and the number, polarity, and strength of FF and TT relationships, am…
Multimedia Information Systems
Applications Of Paraconsistency In Data And Knowledge Bases
Cape
Moving Target Defense II
Our cyber defenses are static and are governed by lengthy processes, e.g., for testing and security patch deployment. Adversaries could plan their attacks carefully over time and launch attacks at cyber speeds at any given moment. We need a new class of defensive strategies that would force adversaries to continually engage in reconnaissance and re-planning of their cyber operations. One such strategy is to present adversaries with a moving targe…
Computational Analysis of Terrorist Groups
Computational Analysis of Terrorist Groups: 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. This book primarily focuses on one famous terrorist group known as Lashkar-e-Taiba (or LeT), and how it operates. After 10 years of counter Al Qaeda operations, LeT is considered by many in the counter-terrorism community to b…
Handbook of Computational Approaches to Counterterrorism
Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and moder…
Indian Mujahideen
Advance Praise for Indian Mujahideen: Computational Analysis and Public Policy “This book presents a highly innovative computational approach to analyzing the strategic behavior of terrorist groups and formulating counter-terrorism policies. It would be very useful for international security analysts and policymakers.” Uzi Arad, National Security Advisor to the Prime Minister of Israel and Head, Israel National Security Council (2009-2011) “An im…
Betweenness computation in the single graph representation of hypergraphs
Scaling Subgraph Matching Queries in Huge Networks
Stun
Cyber Warfare
Cyber Deception
When Jihadist Factions Split
This article investigates group fragmentation in the al-Qaeda and Islamic State ecosystems, employing network analysis to examine the impact of specific network conditions on the probability of a faction splitting. Using new datasets of faction–faction (FF) and terrorist–terrorist (TT) relationships, the article tests 18 hypotheses exploring connections between factional splits and the number, polarity, and strength of FF and TT relationships, am…
A Machine Learning Based Model of Boko Haram
Machine Learning Techniques to Predict Terrorist Attacks
Computer Science (14 works) · Political science (8 works) · Law (7 works) · Mathematics (6 works) · Terrorism (6 works) · Terrorism, Counterterrorism, and Political Violence (6 works) · Computer security (5 works) · Engineering (5 works) · Artificial Intelligence (4 works) · Computer Science (4 works)