Abdul-Rahman – författare

A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurity

In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and practical discussion of reinforcement learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization’s cyber posture with RL and illuminate the most probable adversarial attack paths in your networks.

Containing entirely original research, this book outlines findings and real-world scenarios that have been modeled and tested against custom generated networks, simulated networks, and data. You’ll also find:

Perfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit computer science researchers.

A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurity

In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and practical discussion of reinforcement learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization’s cyber posture with RL and illuminate the most probable adversarial attack paths in your networks.

Containing entirely original research, this book outlines findings and real-world scenarios that have been modeled and tested against custom generated networks, simulated networks, and data. You’ll also find:

Perfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit computer science researchers.

This book was written with the objective of sharing some of the most significance experiences that the author has underwent through in managing industrial relation. Important to note that, the experiences elaborated in the book happened within the context of Malaysian manufacturing environment. Therefore, the legal statements mentioned may not be exactly similar if the readers are outside of Malaysia.However, research and studies made by the author revealed that the gist of the Law is still very much the same within the scope of commonwealth countries.

All the 35 case studies were extracted from the real life experiences of the author gained during two decades as Head of Human Resource department. The case studies were reflected and analyzed from the author''s perspective, with no intention to blame any parties involved.

This is not to say that those experiences were the perfect examples of what industrial relation is all about, but the author humbly hopes that it gives an insight of what to expect from the employees or union under similar kind of environments.

The author hopes that it will give an insight of how each situation was resolved, or how it should have been resolved better based on the essence of Malaysian Law, which is the Industrial Relation Act.The author has no intention to say that, all the solutions taken were the only way to resolve the issues. Trade disputes can be resolved creatively as long as the solution is procedurally correct and legally right.Again, I humbly apologized if the case studies written in the book offended those who were affected by it.

Get a gentle introduction to the Cocos2d-JS framework to begin working with sprite manipulations, animations, and other 2d game development topics. This book covers environment setup and getting started with a framework that works seamlessly across all browsers. Rapid Game Development Using Cocos2d-JS teaches you the overall architecture of Cocos2d-JS and explains the internal working of the framework.

You will dive deep into sprites, the most important entity in Cocos2d-JS, animation APIs, and primitive shapes. You’ll also learn about the Cocos2d-JS UI system to get a head start in 2d game development. Finally, you’ll discover the features of Chipmunk (the built-in physics engine) with full examples.

Who This Book Is For

Beginners looking to develop cross-platform mobile/web games with cocos2d-js, developers with intermediate skills on cocos2d-js looking for the reference.