Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

Former hacker Kevin Poulsen has, over the past decade, built a reputation as one of the top investigative reporters on the cybercrime beat. In Kingpin, he pours his unmatched access and expertise into book form for the first time, delivering a gripping cat-and-mouse narrative—and an unprecedented view into the twenty-first...

Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting...

• Identify, collect, and analyze Hadoop evidence forensically
• Learn about Hadoop's internals and Big Data file storage concepts
• A step-by-step guide to help you...

With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the...

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

Expanding on the author’s experience as a cybersecurity lawyer and law professor, Cybersecurity Law is the definitive guide to cybersecurity law, with an in-depth analysis of U.S. and international laws that apply to data security, data breaches, sensitive information...

The recognition that chemicals in food, whatever their origin, might present a risk to the consumer has long been recognised. However, early food regulations at the beginning of the century were primarily aimed at prevention of adulteration and fraud rather than directed at consumer safety. It is only in the second half of the century...

Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection...

From time immemorial, the security realm and personal identification task had shown progress by employing technological means like secret knowledge as passwords and Personal Identification Numbers, and by using personal possessions as identity cards and Radio Frequency Identification chips. As opposed to these means which are...

Most businesses are aware of the danger posed by malicious network intruders and other internal and external security threats. Unfortunately, in many cases the actions they...

Low Tech Hacking teaches your students how to avoid and defend against some of the simplest and most common hacks. Criminals using hacking techniques can cost corporations, governments, and individuals millions of dollars each year. While the media focuses on the grand-scale attacks that have been planned for months and executed by...