North America & Strategic Technologies

About Centre

The Centre tracks relations between India and the countries of North America. US and Canadian internal developments are also monitored to have a better understanding of their role as drivers of foreign and domestic policies. The large Indian diaspora in these two countries also serves as a bridge for strengthening bilateral relations.

The Centre also actively tracks and analyses trends in strategic technologies, with principal focus on critical technologies and their implications for national security. It addresses evolving threats in space security and cyber security, ensuring comprehensive research into these critical domains. The other mandate of the Centre is to undertake research on Biological and Chemical Weapons with a focus on studying the dangers of proliferation and terrorism.

Members:

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Rajiv Kumar Narang Senior Fellow
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Cherian Samuel Research Fellow (SS)
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Rohit Kumar Sharma Research Analyst
Meghna Pradhan Research Analyst
Khyati Singh Research Analyst

No posts of Books and Monograph.

Biological Weapons: Coronavirus, Weapon of Mass Destruction? by U.C. Jha and K. Ratnabali

War, when all else fails. The reasons for war could be ideological or for greater control over finite resources but war invariably has violence at its epicentre. Ethics and wars have rarely been concentric in human history; therefore, wars have seen the employment of all possible means. Victory, as the ultimate aim, has forced warring sides to look at multiple options and biological weapons are one such method. Biological weapons are as old as war itself and their primitive recorded use was centuries ago.

Modeling Attribution of Cyber Attacks Using Bayesian Belief Networks

The article makes an attempt to bring to the fore the various factors which are considered in the due process of attribution of a cyber-attack and the correlation of credible attribution with cyber deterrence. The focal point of the article is a three-step approach to model the decision-making process behind attribution of cyber-attacks using Bayesian Belief Networks and a case study to elucidate on the functioning of the model.