Network anomaly detection
Dhruba K. Bhattacharyya
Reading Time
at 250 WPM5h 40m
The average reader, reading at a speed of 250 WPM, would take 5h 40m to read Network anomaly detection.
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12
days at 30 min/day
340
total minutes
Network anomaly detection
Published
2014
Publisher
CRC Press, Taylor & Francis Group
Pages
340
ISBN-13
9781466582088
Description
"This book discusses detection of anomalies in computer networks from a machine learning perspective. It introduces readers to how computer networks work and how they can be attacked by intruders in search of fame, fortune, or challenge. The reader will learn how one can look for patterns in captured network traffic data to look for anomalous patterns that may correspond to attempts at unauthorized intrusion. The reader will be given a technical and sophisticated description of such algorithms and their applications in the context of intrusion detection in networks"--
Subjects
Frequently Asked Questions
How many pages are in Network anomaly detection?
This edition of Network anomaly detection has approximately 340 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Network anomaly detection?
For most readers, Network anomaly detection typically takes between 7h 5m and 4h 43m to complete. This is based on the book's length of approximately 85,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 40m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 85,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Network anomaly detection?
The estimated word count for Network anomaly detection is approximately 85,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Network anomaly detection?
Network anomaly detection was written by Dhruba K. Bhattacharyya.
When was Network anomaly detection published?
The publication date for this specific edition is 2014. The original work may have been published on a different date.