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  2. Distributed denial-of-service attacks on root nameservers

    en.wikipedia.org/wiki/Distributed_denial-of...

    On February 6, 2007 an attack began at 10:00 UTC and lasted twenty-four hours. At least two of the root servers (G-ROOT and L-ROOT) reportedly "suffered badly" while two others (F-ROOT and M-ROOT) "experienced heavy traffic".

  3. Denial-of-service attack - Wikipedia

    en.wikipedia.org/wiki/Denial-of-service_attack

    Diagram of a DDoS attack. Note how multiple computers are attacking a single computer. In computing, a denial-of-service attack (DoS attack) is a cyber-attack in which the perpetrator seeks to make a machine or network resource unavailable to its intended users by temporarily or indefinitely disrupting services of a host connected to a network.

  4. Hit-and-run DDoS - Wikipedia

    en.wikipedia.org/wiki/Hit-and-run_DDoS

    A DDoS attack is characterized by an explicit attempt by attackers to prevent legitimate users of a service from using that service. [3] A hit-and-run DDoS is accomplished by using high volume network or application attacks in short bursts. The attacks only last long enough to bring down the server hosting the service, normally 20 to 60 minutes.

  5. 2020 Miami-Dade Public Schools DDoS attack - Wikipedia

    en.wikipedia.org/wiki/2020_Miami-Dade_Public...

    Authorities believe the Miami Dade school district experienced a distributed denial-of-service (DDoS) attack (see illustration). Designed to overwhelm the bandwidth of the targeted system. There are two types of DoS attacks: One is designed to crash services and the other is designed to flood services. The most serious attack is distributed. [1]

  6. Category:Denial-of-service attacks - Wikipedia

    en.wikipedia.org/wiki/Category:Denial-of-service...

    DDoS attacks during the October 2011 South Korean by-election; Dendroid (malware) Denial-of-service attack; Distributed denial-of-service attacks on root nameservers; DNS Flood; DroidKungFu; DDoS attacks on Dyn

  7. Billion laughs attack - Wikipedia

    en.wikipedia.org/wiki/Billion_laughs_attack

    The billion laughs attack described above can take an exponential amount of space or time. The quadratic blowup variation causes quadratic growth in resource requirements by simply repeating a large entity over and over again, to avoid countermeasures that detect heavily nested entities. [ 6 ] (