No. 1 New York Times bestselling author Robyn Carr brings you home to Virgin River in a Christmas story about reuniting with the one person you just can't forget...This year Becca Timm knows the number one item on her Christmas wish list: getting over Denny Cutler. Three years ago Denny broke her heart before heading off to war. It's time she got over her silly college relationship and moved on. So she takes matters into her own hands and heads up to Virgin River, the rugged little mountain town that Denny calls home, as an uninvited guest on her brother's men-only hunting weekend. But, when an accident turns her impromptu visit into an extended stay, Becca finds herself stranded in Virgin River. With Denny. In very close quarters. As the power of Christmas envelops the little town, Becca discovers that the boy she once loved has become a strong and confident man. And the most delicious Christmas present she can imagine. 'Strong women, honourable ex-marines and rural dangers, the hallmarks of this life-affirming, feel-good series, are all here.' - Booklist on A Virgin River Christmas
This book covers the basic statistical and analytical techniques of computer intrusion detection. It is aimed at both statisticians looking to become involved in the data analysis aspects of computer security and computer scientists looking to expand their toolbox of techniques for detecting intruders. The book is self-contained, assumng no expertise in either computer security or statistics. It begins with a description of the basics of TCP/IP, followed by chapters dealing with network traffic analysis, network monitoring for intrusion detection, host based intrusion detection, and computer viruses and other malicious code. Each section develops the necessary tools as needed. There is an extensive discussion of visualization as it relates to network data and intrusion detection. The book also contains a large bibliography covering the statistical, machine learning, and pattern recognition literature related to network monitoring and intrusion detection. David Marchette is a scientist at the Naval Surface Warfacre Center in Dalhgren, Virginia. He has worked at Navy labs for 15 years, doing research in pattern recognition, computational statistics, and image analysis. He has been a fellow by courtesy in the mathematical sciences department of the Johns Hopkins University since 2000. He has been working in conputer intrusion detection for several years, focusing on statistical methods for anomaly detection and visualization. Dr. Marchette received a Masters in Mathematics from the University of California, San Diego in 1982 and a Ph.D. in Computational Sciences and Informatics from George Mason University in 1996.
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