Network behavior anomaly detection (NBAD) is a security technique that provides network security threat detection. It is a complementary technology to systems that detect security threats based on packet signatures.

NBAD is the continuous monitoring of a network for unusual events or trends. NBAD is an integral part of network behavior analysis (NBA), which offers security in addition to that provided by traditional anti-threat applications such as firewalls, intrusion detection systems, antivirus software and spyware-detection software.

Network behavior anomaly detection

Description

Most security monitoring systems utilize a signature-based approach to detect threats. They generally monitor packets on the network and look for patterns in the packets which match their database of signatures representing pre-identified known security threats. NBAD-based systems are particularly helpful in detecting security threat vectors in two instances where signature-based systems cannot: (i) new zero-day attacks, and (ii) when the threat traffic is encrypted such as the command and control channel for certain Botnets.

Network behavior anomaly detection

An NBAD program tracks critical network characteristics in real time and generates an alarm if a strange event or trend is detected that could indicate the presence of a threat. Large-scale examples of such characteristics include traffic volume, bandwidth use and protocol use.

Network behavior anomaly detection

NBAD solutions can also monitor the behavior of individual network subscribers. In order for NBAD to be optimally effective, a baseline of normal network or user behavior must be established over a period of time. Once certain parameters have been defined as normal, any departure from one or more of them is flagged as anomalous.

NBAD technology/techniques are applied in a number of network and security monitoring domains including: (i) Log analysis (ii) Packet inspection systems (iii) Flow monitoring systems and (iv) Route analytics.

NBAD has also been described as outlier detection, novelty detection, deviation detection and exception mining.

Popular threat detections within NBAD

Payload Anomaly Detection

Protocol Anomaly: MAC Spoofing

Protocol Anomaly: IP Spoofing

Protocol Anomaly: TCP/UDP Fanout

Protocol Anomaly: IP Fanout

Protocol Anomaly: Duplicate IP

Protocol Anomaly: Duplicate MAC

Virus Detection

Bandwidth Anomaly Detection

Connection Rate Detection

Commercial products

Palo Alto Networks – Cortex XDR

Darktrace - AI Enterprise Immune System | Antigena Autonomous Response

Allot Communications – Allot Communications DDoS Protection

Arbor Networks NSI – Arbor Network Security Intelligence

Cisco – Stealthwatch (formerly Lancope StealthWatch) IBM – QRadar (since 2003) Enterasys Networks – Enterasys Dragon Exinda – Inbuilt (Application Performance Score (APS), Application Performance Metric (APM), SLA, and Adaptive Response) ExtraHop Networks - Reveal(x) Flowmon Networks – Flowmon ADS FlowNBA – NetFlow Juniper Networks – STRM Fidelis Cybersecurity – Network Security Lastline McAfee – McAfee Network Threat Behavior Analysis HP ProCurve – Network Immunity Manager Riverbed Technology – Riverbed Cascade Sourcefire – Sourcefire 3D Symantec – Symantec Advanced Threat Protection GREYCORTEX – Mendel (formerly TrustPort Threat Intelligence) Vectra AI ZOHO Corporation – ManageEngine NetFlow Analyzer's Advanced Security Analytics Module Microsoft Corp – Windows Defender ATP and Advanced Threat Analytics Vehere - PacketWorker Network Detection and Response

See also

User behavior analytics

References

Network analyzers

Security technology

Computer security