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Honeypot (computing)

Honeypot (computing) is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Honeypot (computing) rather than just read about it. In short: In computer security, a honeypot is a mechanism set to detect, deflect, or, in some manner, counteract attempts at unauthorized use of information systems. Generally, a honeypot consists of data (for example, in a network site) that appears to be a legitimate part of the site which contains information or resources of value to attackers.

Honeypot (computing) — main illustration
Honeypot (computing) — illustration

Key takeaways

  • Honeypot (computing) belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Honeypot (computing) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Honeypot (computing) from memory before moving on to harder problems.

Reference excerpt

In computer security, a honeypot is a mechanism set to detect, deflect, or, in some manner, counteract attempts at unauthorized use of information systems. Generally, a honeypot consists of data (for example, in a network site) that appears to be a legitimate part of the site which contains information or resources of value to attackers. It is actually isolated, monitored, and capable of blocking or analyzing the attackers. This is similar to police sting operations, colloquially known as "baiting" a suspect. The main use for this network decoy is to distract potential attackers from more important information and machines on the real network, learn about the forms of attacks they can suffer, and examine such attacks during and after the exploitation of a honeypot. It provides a way to prevent and see vulnerabilities in a specific network system. A honeypot is a decoy used to protect a network from present or future attacks. Honeypots derive their value from the use by attackers. If not interacted with, the honeypot has little to no value. Honeypots can be used for everything from slowing down or stopping automated attacks, capturing new exploits, to gathering intelligence on emerging threats or early warning and prediction.

Types Honeypots can be differentiated based on whether they are physical or virtual:

Physical honeypot: a real machine with its own IP address, this machine simulates behaviors modeled by the system. Many times this modality is not used as much as the high price of acquiring new machines, their maintenance, and the complication affected by configuring specialized hardware. Virtual honeypot: the use of this type of honeypot allows one to install and simulate hosts on the network from different operating systems, but in order to do so, it is necessary to simulate the TCP/IP of the target operating system. This modality is more frequent. Honeypots can be classified based on their deployment (use/action) and based on their level of involvement. Based on deployment, honeypots may be classified as:

production honeypots research honeypots Production honeypots are easy to use, capture only limited information, and are used primarily by corporations. Production honeypots are placed inside the production network with other production servers by an organization to improve their overall state of security. Normally, production honeypots are low-interaction honeypots, which are easier to deploy. They give less information about the attacks or attackers than research honeypots. Research honeypots are run to gather information about the motives and tactics of the black hat community targeting different networks. These honeypots do not add direct value to a specific organization; instead, they are used to research the threats that organizations face and to learn how to better protect against those threats. Research honeypots are complex to deploy and maintain, capture extensive information, and are used primarily by research, military, or government organizations. Based on design criteria, honeypots can be classified as:

pure honeypots high-interaction honeypots low-interaction honeypots Pure honeypots are full-fledged production systems. The activities of the attacker are monitored by using a bug tap that has been installed on the honeypot's link to the network. No other software needs to be installed. Even though a pure honeypot is useful, the stealthiness of the defense mechanisms can be ensured by a more controlled mechanism. High-interaction honeypots imitate the activities of the production systems that host a variety of services and, therefore, an attacker may be allowed a lot of services to waste their time. By employing virtual machines, multiple honeypots can be hosted on a single physical machine. Therefore, even if the honeypot is compromised, it can be restored more quickly. In general, high-interaction honeypots provide more security by being difficult to detect, but they are expensive to maintain. If virtual machines are not available, one physical computer must be maintained for each honeypot, which can be exorbitantly expensive. Example: Honeynet. Low-interaction honeypots simulate only the services frequently requested by attackers. Since they consume relatively few resources, multiple virtual machines can easily be hosted on one physical system, the virtual systems have a short response time, and less code is required, reducing the complexity of the virtual system's security. Example: Honeyd. This type of honeypot was one of the first types being created in the late nineties and was mainly used for detecting attacks, not studying them. Sugarcane is a type of honeypot that masquerades as an open proxy. It can often take form as a server designed to look like a misconfigured HTTP proxy. Probably the most famous open proxy was the default configuration of sendmail (before version 8.9.0 in 1998) which would forward email to and from any destination.

Deception technology Recently, a new market segment called deception technology has emerged using basic honeypot technology with the addition of advanced automation for scale. Deception technology addresses the automated deployment of honeypot resources over a large commercial enterprise or government institution.

Malware honeypots A malware honeypot is a decoy designed to intentionally attract malicious software. It does this by imitating a vulnerable system or network, such as a web server. The honeypot is intentionally set up with security flaws that look to invite these malware attacks. Once attacked, IT teams can then analyze the malware to better understand where it comes from and how it acts.

Spam versions Spammers abuse vulnerable resources such as open mail relays and open proxies. These are servers that accept e-mail from anyone on the Internet—including spammers—and send it to its destination. Some system administrators have created honeypot programs that masquerade as these abusable resources to discover spammer activity. There are several capabilities such honeypots provide to these administrators, and the existence of such fake abusable systems makes abuse more difficult or risky. Honeypots can be a powerful countermeasure to abuse from those who rely on very high-volume abuse (e.g., spammers). These honeypots can reveal the abuser's IP address and provide bulk spam capture (which enables operators to determine spammers' URLs and response mechanisms). As described by M. Edwards at ITPRo Today:

… excerpt ends here. Continue reading the full article.

Illustrations

Honeypot (computing): Diagram of an information system honeypot
Diagram of an information system honeypot

Worked examples

Example 1 — a first encounter with Honeypot (computing)

Start with the simplest possible case. Write down what Honeypot (computing) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Honeypot (computing) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Honeypot (computing) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Honeypot (computing)

In research
Honeypot (computing) appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Honeypot (computing) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Honeypot (computing) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computer network security, Spamming, United States entrapment case law, so understanding it makes those chapters shorter.
In everyday life
Look for Honeypot (computing) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Honeypot (computing) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Honeypot (computing) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Honeypot (computing) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Honeypot (computing) in simple terms?

In computer security, a honeypot is a mechanism set to detect, deflect, or, in some manner, counteract attempts at unauthorized use of information systems. Generally, a honeypot consists of data (for example, in a network site) that appears to be a legitimate part of the site which contains informa…

Why does Honeypot (computing) matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Honeypot (computing)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Honeypot (computing).

Tags

  • Computer network security
  • Spamming
  • United States entrapment case law

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