If you're a fan of Ubisoft's popular Watch Dogs video game series – a 5-year-old action-adventure franchise played out in real-world cities like Chicago and San Francisco – you'll no doubt want to get your hands on the next installment, slated for March 5, 2020, for PC, Xbox One, PS4, and Google Stadia. "Watch Dogs: Legion," which earned several "Best of Show" awards at the recent Electronic Entertainment Expo, the video game confab known as E3, looks to be the most ambitious title in the series to date. Is Facebook listening to me?: Why those ads appear after you talk about things One of the most ambitious games of 2020, Ubisoft's'Watch Dogs: Legion' takes place in a post-Brexit London, which has become an all-seeing surveillance state. The following is what you need to know about the game – based on what I saw (and played) at E3, along with some details provided by Joel Burgess, world director at Ubisoft Toronto, which is taking the reins on this title with portions of the game being developed simultaneously at Ubisoft studios in Montreal, Paris, Newcastle, England; Bucharest, Romania; and Kiev, Ukraine. One of the most ambitious games of 2020, Ubisoft's'Watch Dogs: Legion' takes place in a post-Brexit London, which has become an all-seeing surveillance state. The game takes place in a near-future London, at a time when people are being oppressed by Big Brother-esque surveillance and a corrupt private military corporation, Albion, patrolling the streets.

Progressively intricate cyber infiltration mechanisms have made conventional means of defense, such as firewalls and malware detectors, incompetent. These sophisticated infiltration mechanisms can study the defender's behavior, identify security caveats, and modify their actions adaptively. To tackle these security challenges, cyber-infrastructures require active defense techniques that incorporate cyber deception, in which the defender (deceiver) implements a strategy to mislead the infiltrator. To this end, we use a two-player partially observable stochastic game (POSG) framework, wherein the deceiver has full observability over the states of the POSG, and the infiltrator has partial observability. Then, the deception problem is to compute a strategy for the deceiver that minimizes the expected cost of deception against all strategies of the infiltrator. We first show that the underlying problem is a robust mixed-integer linear program, which is intractable to solve in general. Towards a scalable approach, we compute optimal finite-memory strategies for the infiltrator by a reduction to a series of synthesis problems for parametric Markov decision processes. We use these infiltration strategies to find robust strategies for the deceiver using mixed-integer linear programming. We illustrate the performance of our technique on a POSG model for network security. Our experiments demonstrate that the proposed approach handles scenarios considerably larger than those of the state-of-the-art methods.