Cyber Threats Detection and Mitigation Training

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Networking Signature Development Understood with this Cyber Threats Detection and Mitigation Training

Cyber threats are increasing at an alarming rate every year and the ability for organizations to defend against full-scaled distributed attacks quickly and effectively is becoming more and more difficult. In order to be safe and secure on today’s Internet, organizations must learn to become more automated.

This means being capable of characterizing attacks across hundreds or even thousands of IP sessions and improving their ability to recognize attack commonalities. With intrusion detection systems and trained network security auditors, organizations have a reliable means to prioritize, and isolate only the most critical threats in real time.

Taught by leaders in network defense who work in the computer security industry, this Cyber Threats Detection and Mitigation course demonstrates how to defend large scale network infrastructure by building and maintaining intrusion detection systems, network security auditing, and incident response techniques.

Cyber Threats Detection and Mitigation TrainingDuration: 5 days

RESOURCES
RELATED COURSES
CUSTOMIZE It
  • We can adapt this Cyber Threats Detection and Mitigation course to your group’s background and work requirements at little to no added cost.
  • If you are familiar with some aspects of this Cyber Threats Detection and Mitigation course, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Cyber Threats Detection and Mitigation Course around the mix of technologies of interest to you (including technologies other than those included in this outline).
  • If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Cyber Threats Detection and Mitigation course in manner understandable to lay audiences.
AUDIENCE/TARGET GROUP

The target audience for this Cyber Threats Detection and Mitigation course:

  • Incident Responders who need to understand and react to IDS alerts
  • Network Defenders seeking to automate threat detection
  • IDS administrators who wish to improve their signature writing skills
  • Security Operations Center Staff seeking to automate traffic analysis
  • Penetration Testers looking to reduce their network visibility
CLASS PREREQUISITES

The knowledge and skills that a learner must have before attending this Cyber Threats Detection and Mitigation course are:

Cyber Threats Detection and Mitigation Training - OBJECTIVES

Upon completing this Cyber Threats Detection and Mitigation course, learners will be able to meet these objectives:

  • Identify the best defensive measures to effectively protect a network
  • Setup and maintain an intrusion detection system
  • Conceptualize and develop intrusion detection rules and rule sets
  • Analyze and respond to intrusion attempts
  • Recover from a successful intrusion
Cyber Threats Detection and Mitigation Training - COURSE SYLLABUS
Day 1
  • Cyber Threat Overview
  • Intrusions Defined
  • Historical Intruders
  • Historical Intrusions
  • Wireshark Overview
  • TCP Session Initialization Review
  • Incident Response
Day 2-3
  • NetFlow Analysis
  • Cisco NetFlows Ver 1 – Ver 9 (IPFIX)
  • SFlows
  • JFlows
  • Silk and Argus Collectors
  • Intrusion Detection Systems
  • Definition
  • IDS Types
  • Scanning versus Compromise
  • IDS Known Good vs. Known Bad Approaches
  • Rule Based IDS
  • Heuristics Based IDS
  • Response Actions
  • Inline IDSs
  • Problems with Active Response
  • Defense in Depth
  • False Positive and False Negatives
  • Intrusion Prevention Systems
  • Active Response Techniques
  • Introduction to SNORT
  • Packet Sniffer
  • Packet Logger
  • NIDS
  • Protocol Support
  • Sourcefire
  • Packer Decoder
  • Preprocessors
  • Detection Engine
  • Alert and Logging
  • Detection Rules
  • Actions After a Match
  • What Rules Can’t Do
  • Fundamentals of a Rule
  • Rule Actions
  • Rule Body Options
  • Content Modifiers
  • Pre-Processors
  • Output Plug-ins
  • Attack Scenarios
  • Writing Signatures
Day 4
  • Syslog Tools
  • Kiwi SyslogD Server Setup
  • Non Payload Detection Rules
  • Dsize
  • Fragoffset
  • TT1
  • TOS
  • ID
  • IPOpts
  • Fragbits
  • Flags
  • Flow
  • Flowbits
  • Seq
  • Window
  • Post-Detection Rule Options
  • Logto
  • Session
  • Resp
  • React
  • Tag
  • Writing Effective Snort Rules
  • Content Matching
  • Catch Vulnerabilities
  • Oddities of the Protocol
  • Optimizing IDS Rules
  • Attack Scenarios
  • Writing Signatures
Day 5

Student Practical Demonstration:

  • You will be given five attack scenarios in which you will need to write Snort rules to defend against. Once you have implemented the rules in your Snort System, the instructor will launch attacks against them to determine if your rules were effective.
LABS
  • Setup and Configure an IDS to match a network topology map
  • Define Network Variables
  • Configure Output Statements
  • Write over 30 Signatures
  • Analyze and Write Signatures based attack patterns
  • Tune signatures to reduce false positives and false negatives
  • Reverse Engineering Existing and Downloaded rule
Cyber Threats Detection and Mitigation Training Course Wrap-Up

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