Hybrid and Cyber War As Consequences of the Asymmetry: A Comprehensive Approach Answering Hybrid Actors and Activities in Cyberspace

Hybrid and Cyber War As Consequences of the Asymmetry: A Comprehensive Approach Answering Hybrid Actors and Activities in CyberspaceAll political and military conflicts now have a cyber dimension, the size and impact of which are difficult to predict. Internet-enabled propaganda, espionage and attacks on critical infrastructure can target decision makers, weapons systems and citizens in general, during times of peace or war. Traditional threats to national security now have a digital delivery mechanism which would increase the speed, diffusion and power of an attack. There have been no true cyber wars to date, but cyber battles of great consequence are easy to find. This book is divided into two sections – Strategic Viewpoints and Technical Challenges & Solutions – and highlights the growing connection between computer security and national security.

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Building Trading Bots Using Java

Amazon Price: $44.99 $35.61 You save: $9.38 (21%). (as of March 24, 2018 04:40 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

Build an automated currency trading bot from scratch with java. In this book, you will learn about the nitty-gritty of automated trading and have a closer look at Java, the Spring Framework, event-driven programming, and other open source APIs, notably Google's Guava API. And of course, development will all be test-driven with unit testing coverage.

The central theme of Building Trading Bots Using Java is to create a framework that can facilitate automated trading on most of the brokerage platforms, with minimum changes. At the end of the journey, you will have a working trading bot, with a sample implementation using the OANDA REST API, which is free to use.
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Machine Learning in Cyber Trust: Security, Privacy, and Reliability

Machine Learning in Cyber Trust: Security, Privacy, and ReliabilityMany networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms.

This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work.

Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.

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