Availability

The availability principle states that if an authorized individual makes a request for a resource or information, it should be available without any disruption. For example, a person wants to download his bank account statement using an online banking facility. For some reason, the bank's website is down and the person is unable to access it. In this case, the availability is affected as the person is unable to make a transaction on the bank's website. From an information security perspective, availability is as important as confidentiality and integrity. For any reason, if the requested data isn't available within time, it could cause severe tangible or intangible impact.

Common attacks on availability include the following:

  • Denial of service attacks: In a denial of service attack, the attacker sends a large number of requests to the target system. The requests are so large in number that the target system does not have the capacity to respond to them. This causes the failure of the target system and requests coming from all other legitimate users get denied.
  • SYN flood attacks: This is a type of denial of service attack wherein the attacker sends a large number of SYN requests to the target with the intention of making it unresponsive.
  • Distributed denial of service attacks: This is quite similar to the denial of service attack, the difference being the number of systems used to attack. In this type of attack, hundreds and thousands of systems are used by the attacker in order to flood the target system.
  • Electrical power attacks: This type of attack involves deliberate modification in the electrical power unit with an intention to cause a power outage and thereby bring down the target systems.
  • Server room environment attacks: Server rooms are temperature controlled. Any intentional act to disturb the server room environment can bring down the critical server systems.
  • Natural calamities and accidents: These involve earthquakes, volcano eruptions, floods, and so on, or any unintentional human errors.
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