Which of the following is designed to collect and analyze data from multiple deceptive systems?

A honeynet is a network of honeypots designed specifically to gather and analyze data from multiple deceptive systems. This setup enables security professionals to observe and study intruder behaviors at a larger scale than a single honeypot would allow. By leveraging multiple honeypots, a honeynet can provide a more comprehensive view of the tactics, techniques, and protocols used by attackers, thereby offering invaluable insights into threat landscapes.

Utilizing a honeynet can help organizations understand the methods employed by cybercriminals, allowing them to improve their defenses and incident response strategies. The data collected can guide the development of better security policies and tools, enhancing overall cybersecurity posture. This collective data gathering and analysis is fundamental for proactive security measures and threat intelligence.

In contrast, a honeypot is a single system designed to attract attackers by simulating vulnerabilities. While honeypots can provide valuable insights, they do not offer the broader analysis capabilities inherent in a honeynet. Simulators typically replicate environments for training or testing purposes, and decoy files are used to mislead attackers by appearing to contain valuable data but are unrelated to the overall network analysis goal that a honeynet serves.