Which of the following techniques is used to identify attacks originating from a botnet?
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A. B. C. D.and source of the OS identification.
Answer: D is incorrect.
A BPF-based filter is used to limit the number of packets seen by tcpdump; this renders the output.
Passive OS fingerprinting can identify attacks originating from a botnet.
Network Administrators can configure the firewall to take action on a botnet attack by using information obtained from passive OS fingerprinting.
Passive OS fingerprinting (POSFP) allows the sensor to determine the operating system used by the hosts.
The sensor examines the traffic flow between two hosts and then stores the operating system of those two hosts along with their IP addresses.
In order to determine the type of operating system, the sensor analyzes TCP SYN and SYN ACK packets that are traveled on the network.
The sensor computes the attack relevance rating to determine the relevancy of victim attack using the target host OS.
After it, the sensor modifies the alert's risk rating or filters the alert for the attack.
Passive OS fingerprinting is also used to improve the alert output by reporting some information, such as victim OS, relevancy to the victim in the alert, document is indexed by the search engine.
Out of the given options, the technique used to identify attacks originating from a botnet is D. BPF-based filter.
A botnet is a network of compromised computers, also known as "zombies," that can be controlled remotely by an attacker. These botnets are often used for malicious activities such as spamming, distributed denial-of-service attacks (DDoS), and stealing sensitive information. Identifying attacks originating from a botnet is crucial for maintaining the security of a network.
BPF stands for Berkeley Packet Filter, which is a mechanism used in computer networks to filter and analyze network traffic. A BPF-based filter is a type of network filter that captures and inspects network packets in real-time. This filter can be used to identify botnet traffic by analyzing the behavior of the network traffic.
Botnets often use specific communication protocols and ports that differ from legitimate network traffic. A BPF-based filter can be set up to capture and analyze network traffic that matches the characteristics of known botnet traffic. By analyzing the captured traffic, the BPF-based filter can identify the botnet's command and control servers, the compromised computers, and the type of attack being launched.
In conclusion, a BPF-based filter is a technique used to identify attacks originating from a botnet by analyzing network traffic in real-time, matching it to known characteristics of botnet traffic and identifying the botnet's command and control servers, the compromised computers, and the type of attack being launched.