Steve Piper Knihy

November 1979. The lines are clear. Things so black and white, at least to the eyes and ears of Britain’s youth. The ragged edges of punk rock had been smoothed in to the sound of new wave and inner city housing estates had yet to decompose in to the crumbling and neglected smack and crack saturated slums of the ‘90s. Britain’s tribes were defined by differences in attitude, attire, musical allegiance, philosophies, territories and behaviour. Mods were mods, punks were punks. The Labour party was the Labour party and the Conservatives, Conservatives. The workers kept working and the bosses planned their retirement.

Leverage Big Data Security to uncover advanced cyberthreats and streamline incident response. If you're charged with securing your organization's network or responding to security incidents, this book is for you. Security-conscious organizations are turning to Big Data Security as the newest weapon to fight cybercrime, collect digital evidence, and uncover advanced cyberthreats that traditional security defenses miss. Starting with the basics - take a look at recent statistics on enterprise network breaches. Understanding traditional security - review traditional security defenses and discover why they sometimes fail. Defining Big Data Security - explore Big Data Security form factors, features, and deployment strategies. Reviewing use cases - review common use cases for improving network visibility and strengthening your security posture. Integrating Big Data Security - understand how to integrate Big Data Security into your existing security fabric. Establishing buying criteria - know what to look for (and what to avoid) when evaluating Big Data Security solutions. Open the book and find: Lists of common internal and external Big Data sources. Network diagrams depicting typical deployment strategies. Strategies for detecting advanced threats and targeted attacks. Real-world examples of Big Data Security implementations. Ten buying criteria for evaluating Big Data Security solutions.