A honeypot is designed to entice hackers and malware to attack a fake target and thus provide information about the attackers and their methods.
The sweet honey pot can distract the eye from the actual targets. The seductive lure attracts a target group (honeypot as a tourist destination) or lures criminals and exposes them (e.g. in the form of so-called bait cars, which as honeypot deceive car thieves). The principle originates as an approach to distract bears and lure them into the trap.
What is a honeypot?
In modern cybersecurity, a honeypot is the principle that is used to lure hackers into a trap. There are different types of honeypots, which serve to fend off direct attacks on systems, intercept malware or block spam.[su_quote]With a honeypot, you deliberately lure hackers and other attackers onto the wrong track and trick them out. You can use it to analyze attack methods and discover the weaknesses of your system before the attacker does.
How do honeypots work
A honeypot is the copy of the actual network that contains the sensitive data. If the copied system is attacked by attackers, they give certain information about their approach, their method and technique or in the best case about themselves.
The simulated copies also have the function of revealing security holes in the real system.
If hackers exploit a vulnerability in the copy, it is removed in the original without causing any damage. Another way of using honeypots is shown in research.
There, various types of malware such as viruses or worms are analyzed in artificial, delimited systems. The behavior of the malware is used to determine possible targets and methods of combating the malware.
Further information about honeypots in companies
What are the reasons for honeypots?
- Fend off attacks from the actual system
- Gain information
- Determine type of attacks
- Analyze types of malware, their function and propagation
What types of honeypots are there?
A distinction is made between the different types, whether the honeypots simulate providers (servers) or users (Internet users with web browsers) of data and how intensive the effort is to simulate real systems.
Conclusion of the OM Optimiser Team[su_quote]Learning about the dangers and security of real information in simulated systems – that works with the so-called honeypots. The method is suitable for preventing attacks on sensitive data, finding security holes and making it harder for hackers.
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