Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Smart Log Data Analytics: Techniques For Advanced Security AnalysisISBN13:9783030744496ISBN10:3030744493Author:Skopik, Florian (Author), Wurzenberger, Markus (Author), Landauer, Max (Author)Description:This Book Provides Insights Into Smart Ways For Computer Log Data Analysis, With The Goal Of Spotting Adversarial Actions It Is Organized Into 3 Major Parts With A Total Of 8 Chapters That Include A Detailed View On Existing Solutions, As Well As Novel Techniques That Go Far Beyond State Of The Art The First Part Of This Book Motivates The Entire Topic And Highlights Major Challenges, Trends And Design Criteria For Log Data Analysis Approaches, And Further Surveys And Compares The State Of The Art The Second Part Of This Book Introduces Concepts That Apply Character-Based, Rather Than Token-Based, Approaches And Thus Work On A More Fine-Grained Level Furthermore, These Solutions Were Designed For Online Use, Not Only Forensic Analysis, But Also Processes New Log Lines, As They Arrive In An Efficient Single Pass Manner An Advanced Method For Time Series Analysis Aims At Detecting Changes In The Overall Behavior Profile, Of An Observed System And Spotting Trends And Periodicities Through Log Analysis The Third Part Of This Book Introduces The Design Of The Aminer, Which Is An Advanced Open Source Component For Log Data Anomaly Mining The Aminer Comes With Several Detectors To Spot New Events, New Parameters, New Correlations, New Values And Unknown Value Combinations And Can Run As Stand-Alone Solution Or As Sensor With Connection To A Siem Solution More Advanced Detectors Help To Determines The Characteristics Of Variable Parts Of Log Lines, Specifically The Properties Of Numerical And Categorical Fields Detailed Examples Throughout This Book Allow The Reader To Better Understand And Apply The Introduced Techniques With Open Source Software Step-By-Step Instructions Help To Get Familiar With The Concepts And To Better Comprehend Their Inner Mechanisms A Log Test Data Set Is Available As Free Download And Enables The Reader To Get The System Up And Running In No Time This Book Is Designed For Researchers Working In The Field Of Cyber Security, And Specifically System Monitoring, Anomaly Detection And Intrusion Detection The Content Of This Book Will Be Particularly Useful For Advanced-Level Students Studying Computer Science, Computer Technology, And Information Systems Forward-Thinking Practitioners, Who Would Benefit From Becoming Familiar With The Advanced Anomaly Detection Methods Presented In This Book, Will Also Be Interested In This Book Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2021-10-24Weight:0 lbsDimensions:Number of Pages:140Language:English
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Book Title: Smart Log Data Analytics: Techniques For Advanced Security A...
Item Length: 9.3in
Item Width: 6.1in
Author: Max Landauer, Florian Skopik, Markus Wurzenberger
Publication Name: Smart Log Data Analytics : Techniques for Advanced Security Analysis
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Type: Textbook
Item Weight: 17.8 Oz
Number of Pages: Xv, 208 Pages