Produktbild: Smart Log Data Analytics

Smart Log Data Analytics Techniques for Advanced Security Analysis

145,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.08.2021

Abbildungen

XV, 208 p. 65 illus., 36 illus. in color.

Verlag

Springer

Seitenzahl

208

Maße (L/B/H)

24,1/16/1,8 cm

Gewicht

506 g

Auflage

21001 Auflage 1st edition 2021

Sprache

Englisch

ISBN

978-3-030-74449-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.08.2021

Abbildungen

XV, 208 p. 65 illus., 36 illus. in color.

Verlag

Springer

Seitenzahl

208

Maße (L/B/H)

24,1/16/1,8 cm

Gewicht

506 g

Auflage

21001 Auflage 1st edition 2021

Sprache

Englisch

ISBN

978-3-030-74449-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Smart Log Data Analytics

  • I1.- Introduction.- 1.1 State of the art in security monitoring and anomaly detection.- 1.2 Current trends.- 1.3. future challenges.- 1.4 Log data analysis: today and tomorrow.- 1.5 Smart log data analytics: Structure of the book.- 1.6 Try it out: Hands-on examples throughout the book.- 2 Survey on log clustering approaches.- 2.1 Introduction. 2.2 Survey background.- 2.1 The nature of log data. 2.2 Static clustering.- 2.3 Dynamic clustering.- 2.4 Applications in the security domain.- 2.3 Survey method.- 2.3.1 Set of criteria.- 2.3.2 Literature search.- 2.4 Survey results.- 2.4.1 Purpose and applicability (P).- 2.4.2 Clustering techniques (C).- 2.4.3 Anomaly detection (AD).- 2.4.4 Evaluation (E). 2.4.5 Discussion.- 2.5 Conclusion.- 3 Incremental log data clustering for processing large amounts of data online.- 3.1 Introduction.- 3.2 Concept for incremental clustering.- 3.2.1 Incremental clustering.- 3.2.2 Description of model.- 3.2.3 String metrics.- 3.2.4 Description of model M
    1.‑‑
    3.2.5 Time series analysis.-  3.3 Outlook and further development.- 3.4 Try it out.-  3.4.1 Exim Mainlog.- 3.4.2 Messages log file.- 4 Generating character-based templates for log data.- 4.1 Introduction.- 4.2 Concept for generating character-based templates.- 4.3 Cluster template generator algorithms4.3.1 Initial matching.-  4.3.2 Merge algorithm.-4.3.3 Length algorithm.-  4.3.4 Equalmerge algorithm.- 4.3.5 Token_char algorithm.- 4.3.6 Comparison.- 4.4 Outlook and further development.- 4.5 Try it out .-  4.5.1 Exim Mainlog.- 5 Time series analysis for temporal anomaly detection5.1 Introduction.- 5.2 Concept for dynamic clustering and AD.- 5.3 Cluster evolution.- 5.3.1 Clustering model.-  5.3.2 Tracking.-  5.3.3 Transitions.-  5.3.4 Evolution metrics .- 5.4 Time series analysis.-  5.4.1 Model.- 5.4.2 Forecast.- 5.4.3 Correlation.- 5.4.4 Detection.- 5.5 Example.-  5.5.1 Long-term analysis of Suricata logs.- 5.5.2 Short-term analysis of Audit logs.- 6 AECID: A light-weight log analysis approach for online anomaly detection.- 6.1 Introduction.- 6.2 The AECID approach.- 6.2.1 AMiner.- 6.2. AECID central.- 6.2. Detecting anomalies.- 6.2. Rule generator.- 6.2. Correlation engine.-  6.2. Detectable anomalies.- 6. System deployment and operation.- 6. Application scenarios.-  6. Try it out.- 6.5.1 Configuration of the AMiner for AIT-LDSv1. - 6.5.2 Apache Access logs.-  6.5.3 Exim Mainlog file.- 6.5.4 Audit logs.- 7. A concept for a tree-based log parser generator.-  7.1 Introduction.- 7.2 Tree-based parser concept.-  7.3 AECID-PG: tree-based log parser generator.-  7.3.1 Challenges when generating tree-like parsers.- 7.3.2 AECID-PG concept.-  7.3.3 AECID-PG rules.-  7.3.4 Features.- 7.4 Outlook and further application.-  7.5 Try it out.- 7.5.1 Exim Mainlog.-  7.5.2 Audit logs.- 8 Variable type detector for statistical analysis of log tokens.-  8.1 Introduction.-.-8.2 Variable type detector concept.- 8.3 Variable type detector algorithm.- 8.3.1 Sanitize log data.- 8.3.2 Initialize types.- 8.3.3 Update types.-  8.3.4 Compute indicators.- 8.3.5 Select tokens.- 8.3.6 Compute indicator weights.-  8.3.7 Report anomalies.-  8.4 Try it out.- 8.4.1 Apache Access log.- 9. Final remarks.