Docs
test1test2
6.5
6.5
  • ElastiFlow Documentation
  • Unified Flow Collector
    • General Configuration
    • Changelog
    • Maxmind GeoIP2 and GeoLite2
    • RiskIQ PassiveTotal
    • Network Interfaces
    • User-Defined Metadata
    • Docker
    • Linux
    • Unified Flow Collector Introduction
    • System Requirements
    • Supported IEs
    • AWS VPC Flow Log IEs
    • IPFIX IEs
    • Netflow IEs
    • sFlow IEs
  • Unified SNMP Collector
    • Device Groups
    • Changelog
    • Devices
    • Downloading Definitions
    • Enumerations
    • Objects
    • Object Groups
    • User-Defined Metadata
    • Docker
    • Network Interfaces
    • United SNMP Collector Introduction
    • Linux
    • Scheduling Rediscovery
  • Monitoring ElastiFlow
    • Liveness & Readiness
    • Metrics
    • Prometheus & Grafana
  • Configuration Reference
    • YAML Configuration Files
    • Configuration Reference Overview
    • Common
      • API
      • Licensing
      • Overview
      • Logging
      • HTTP output
      • Elasticsearch output
      • Kafka output
      • Monitor output
      • OpenSearch output
      • Splunk output
      • stdout output
      • Processor
    • Unified Flow Collector
      • Overview
      • Community/Conversation IDs
      • EF_PROCESSOR_ENRICH_TOTALS_IF_NO_DELTAS
      • Overview
      • RiskIQ PassiveTotal
      • Maxmind
      • User-Defined Metadata
      • Overview
      • Overview
      • User-Defined Metadata
      • Overview
      • Benchmark Input
      • Netflow/IPFIX/sFlow (UDP)
      • Licensing
      • Decoder/Processor
      • Sample Rate
      • Configuration Changes
    • Unified SNMP Collector
      • User-Defined Metadata
      • Overview
      • Licensing
      • SNMP Poller
      • EF_PROCESSOR_SNMP_ENUM_DEFINITIONS_DIRECTORY_PATH
  • API Reference
    • API Reference Overview
    • SNMP Operations
  • Data Platforms
    • Elastic
      • Basic Cluster
      • Advanced Cluster
      • Single Server
      • Multi-Tier Cluster
      • Single "Lab" Server
      • Elasticsearch
      • ElastiFlow vs. Filebeat and Logstash
      • RHEL/CentOS
      • Ubuntu/Debian
      • Kibana
      • ML
        • Network Security
        • Machine Learning
        • Availability
          • Network Availability
          • DHCP
          • LDAP
          • DNS
          • NTP
          • RADIUS
          • TCP Sessions
        • Network Security Activity
          • Rare Autonomous System
          • Network Activity
          • Rare Conversation
          • Rare Geolocation
        • Network Security Brute Force
          • Brute Force CLI Access
          • Brute Force Remote Desktop Access
          • Brute Force Attacks
        • Network Security DDoS
          • Denial-of-Service
          • ICMP Flood Attack
          • SYN Flood Attack
          • TCP DDoS Attack
          • UDP Amplification Attack
        • Network Security Recon
          • ICMP Scan
          • Reconnaissance
          • Port Scan
        • Performance
          • Unusual ASN Traffic Volume
          • Unusual Network Interface Traffic Volume
          • Network Performance
    • Opensearch
      • Dashboards
      • Auth Sig V4
    • Splunk
      • Default Search Macro
      • Configuring Data Input & Index
      • Splunk App Installation
    • Output Configuration
  • Additional Guides
    • Catalyst (sFlow)
    • FortiGate
    • hsflowd
    • Configuring Flow Sampling on Juniper Routers
    • Junos OS (sFlow)
    • MikroTik RouterOS
    • OpenWRT (softflowd)
    • Ubiquiti EdgeRouter
    • SonicWall
    • Junos OS
    • Extending SNMP Device Support
    • Flow Device Support Overview
    • SNMP Device Support Overview
    • Generating A Support Bundle
  • FAQ
    • Flows stopped showing up in Kibana (Disk(s) Full)
    • Common reasons why you have discrepancies between ElastiFlow data & reality
    • What Are Snapshots?
    • Importing the wrong dashboards (No data)
  • Knowledge Base
    • Config
      • Elasticsearch Authentication Failure
      • CA Certificate Path Incorrect
      • license/error Invalid Segments
    • Flow
      • Bidirectional Flow Support
      • Configure the UDP Input
      • Flow Records Not Received
      • Netflow v9/IPFIX Template Not Receieved
      • Unsupported sFlow Structures
    • General
      • License Has Expired
      • License Agreement Not Accepted
    • Install
      • .deb Upgrade Fails File Overwrite
    • Operation
      • Flow Collector Queues 90% Full
      • Dashboard Updates
      • Change elastiflow-* Index Name?
  • Elastic Stack Deployment
  • Download Links
Powered by GitBook
On this page
  1. Data Platforms
  2. Elastic
  3. ML
  4. Network Security Activity

Network Activity

PreviousRare Autonomous SystemNextRare Conversation

import DocCardList from '@theme/DocCardList';

In the realm of network security, the rapid identification of suspicious and malicious network activity is paramount. With the increasing sophistication of cyber threats, organizations face a constant challenge in protecting their networks from a variety of attacks that can compromise data integrity, privacy, and operational continuity. Early detection of such network activities is crucial, as it enables timely interventions to mitigate risks and prevent potential breaches. In this context, a collection of anomaly detection jobs is instrumental in providing an advanced layer of security by actively monitoring and analyzing network traffic and behaviors to identify potential threats.

ElastiFlow provides a collection of anomaly detection jobs specifically designed to pinpoint various forms of suspicious and malicious network activities, employing sophisticated algorithms and pattern recognition techniques.

Downloads

Schema
Link

CODEX

ECS

By integrating this suite of anomaly detection jobs, organizations can significantly enhance their capability to swiftly detect and respond to sophisticated and evolving network threats. These tools not only help in identifying known malicious network activities but are also crucial in uncovering new, previously unknown threats, thereby fortifying the network's defense against a broad spectrum of cyber risks. This proactive approach is essential for maintaining a secure, resilient, and trustworthy network environment in today's digital landscape.

All Network Activity ML Jobs for CODEX Schema
All Network Activity ML Jobs for ECS Schema