基于数据分析的网络安全(影印版第2版)(英文版) mobi 百度云 txt pdb 下载 lrf pdf 地址

传统入侵检测和日志分析已不足以保护当今的复杂网络。迈克尔·柯林斯著的《基于数据分析的网络安全》这本实用指南的第2版中，安全研究员Michael Collins向信息安全人员展示了 的网络流量数据收集分析技术和工具。你将会理解网络如何被使用以及哪些行动是加固和防护系统所必需的。

本书通过3个部分检视了收集和组织数据的过程、多种分析工具以及各种分析场景和技术。新章节关注活跃监控和流量处理、内部威胁检测、数据挖掘、回归与机器学习，还有其他主题。

Preface

Part Ⅰ. Data

1. Organizing Data: Vantage, Domain, Action, and Validity

Domain

Vantage

Choosing Vantage

Actions: What a Sensor Does with Data

Validity and Action

Internal Validity

External Validity

Construct Validity

Statistical Validity

Attacker and Attack Issues

Further Reading

2. Vantage: Understanding Sensor Placement in Networks

The Basics of Network Layering

Network Layers and Vantage

Network Layers and Addressing

MAC Addresses

IPv4 Format and Addresses

IPv6 Format and Addresses

Validity Challenges from Middlebox Network Data

Further Reading

3. Sensors in the Network Domain

Packet and Frame Formats

Rolling Buffers

Limiting the Data Captured from Each Packet

Filtering Specific Types of Packets

What If It''s Not Ethernet?

NetFlow

NetFlow v5 Formats and Fields

NetFlow Generation and Collection

Data Collection via IDS

Classifying IDSs

IDS as Classifier

Improving IDS Performance

Enhancing IDS Detection

Configuring Snort

Enhancing IDS Response

Prefetching Data

Middlebox Logs and Their Impact

VPN Logs

Proxy Logs

NAT Logs

Further Reading

4. Data in the Service Domain

What and Why

Logfiles as the Basis for Service Data

Accessing and Manipulating Logfiles

The Contents of Logfiles

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