Chapter 9 Configuring Anomaly Detection

Anomaly Detection Modes

Anomaly detection identifies worm-infected hosts by their behavior as scanners. To spread, a worm must find new hosts. It finds them by scanning the Internet or network using TCP, UDP, and other protocols to generate unsuccessful attempts to access different destination IP addresses. A scanner is defined as a source IP address that generates events on the same destination port (in TCP and UDP) for too many destination IP addresses.

The events that are important for TCP protocol are nonestablished connections, such as a SYN packet that does not have its SYN-ACK response for a given amount of time. A worm-infected host that scans using TCP protocol generates nonestablished connections on the same destination port for an anomalous number of IP addresses.

The events that are important for UDP protocol are unidirectional connections, such as a UDP connection where all packets are going only in one direction. A worm-infected host that scans using UDP protocol generates UDP packets but does not receive UDP packets on the same quad within a timeout period on the same destination port for multiple destination IP addresses.

The events that are important for other protocols, such as ICMP, are from a source IP address to many different destination IP addresses, that is, packets that are received in only one direction.

Caution If a worm has a list of IP addresses it should infect and does not have to use scanning to spread itself (for example, it uses passive mapping—listening to the network as opposed to active scanning), it is not detected by the anomaly detection worm policies. Worms that receive a mailing list from probing files within the infected host and email this list are also not detected, because no Layer 3/Layer 4 anomaly is generated.

For More Information

For the procedure for turning off anomaly detection, see Disabling Anomaly Detection, page 9-48.

Anomaly Detection Modes

If you have anomaly detection enabled, it initially conducts a “peacetime” learning process when the most normal state of the network is reflected. Anomaly detection then derives a set of policy thresholds that best fit the normal network.

Anomaly detection has the following modes:

Learning accept mode—Anomaly detection conducts an initial learning accept mode for the default period of 24 hours. We assume that during this phase no attack is being carried out. Anomaly detection creates an initial baseline, known as a knowledge base (KB), of the network traffic. The default interval value for periodic schedule is 24 hours and the default action is rotate, meaning that a new KB is saved and loaded, and then replaces the initial KB after 24 hours.

Note Anomaly detection does not detect attacks when working with the initial KB, which is empty. After the default of 24 hours, a KB is saved and loaded and now anomaly detection also detects attacks.

Note Depending on your network complexity, you may want to have anomaly detection in learning accept mode for longer than the default 24 hours.

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Cisco Systems IPS4510K9 manual Anomaly Detection Modes, For More Information

IPS4510K9 specifications

Cisco Systems has long been a leading player in network security, and its IPS (Intrusion Prevention System) series is a testament to its commitment to safeguarding digital environments. Among its notable offerings are the IPS4510K9 and IPS4520K9 models, both designed to provide advanced threat protection for mid-sized to large enterprise networks.

The Cisco IPS4510K9 and IPS4520K9 are distinguished by their cutting-edge features that help organizations defend against a myriad of cyber threats. These systems utilize a multi-layered approach to security, integrating intrusion prevention, advanced malware protection, and comprehensive visibility across the network.

One of the primary characteristics of the IPS4510K9 is its high performance. It boasts a throughput of up to 1 Gbps, making it suitable for environments that demand rapid data processing and real-time responses to threats. The IPS4520K9, on the other hand, enhances that capability with improved throughput of up to 2 Gbps, accommodating larger enterprises with heavier network traffic. These models are equipped with powerful processors that support complex signature matching and can intelligently distinguish between legitimate traffic and potential threats.

In addition to performance, both models are designed with scalability in mind. They can be easily integrated into existing Cisco infrastructures. This facilitates a seamless enhancement of security without causing significant interruptions to ongoing operations. Moreover, they offer flexible deployment options, allowing organizations to operate them inline or out of band depending on their specific needs.

The Cisco IPS4510K9 and IPS4520K9 leverage advanced detection technologies, utilizing a variety of signature types and heuristic analysis to detect known and unknown threats effectively. They are equipped with real-time alerting and reporting capabilities, giving security teams immediate visibility into potential breaches and enabling them to respond swiftly.

Furthermore, both models support a range of management options through the Cisco Security Manager, allowing for centralized administration, streamlined policy management, and enhanced monitoring capabilities. Automated updates ensure the systems remain current with the latest threat intelligence, vital for staying ahead of evolving cyber threats.

In summary, the Cisco Systems IPS4510K9 and IPS4520K9 represent powerful solutions for organizations seeking robust intrusion prevention capabilities. With their high performance, scalability, and advanced detection technologies, these systems are essential tools in the ever-changing landscape of cybersecurity, providing enterprises with the peace of mind needed to operate securely in today's digital world.