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  2. Oppositional defiant disorder - Wikipedia

    en.wikipedia.org/wiki/Oppositional_defiant_disorder

    Children with ODD usually begin showing symptoms around age 6 to 8, although the disorder can emerge in younger children too. Symptoms can last throughout teenage years. [12] The pooled prevalence is 3.6% up to age 18. [13] Oppositional defiant disorder has a prevalence of 1–11%. [2] The average prevalence is approximately 3%. [2]

  3. Attack tree - Wikipedia

    en.wikipedia.org/wiki/Attack_tree

    An attack described in a node may require one or more of many attacks described in child nodes to be satisfied. Our above condition shows only OR conditions ; however, an AND condition can be created, for example, by assuming an electronic alarm which must be disabled if and only if the cable will be cut.

  4. Adversarial machine learning - Wikipedia

    en.wikipedia.org/wiki/Adversarial_machine_learning

    In an effort to analyze existing adversarial attacks and defenses, researchers at the University of California, Berkeley, Nicholas Carlini and David Wagner in 2016 propose a faster and more robust method to generate adversarial examples. [97] The attack proposed by Carlini and Wagner begins with trying to solve a difficult non-linear ...

  5. ATT&CK - Wikipedia

    en.wikipedia.org/wiki/ATT&CK

    Tactics are the “why” of an attack technique. The framework consists of 14 tactics categories consisting of "technical objectives" of an adversary. [2] Examples include privilege escalation and command and control. [3] These categories are then broken down further into specific techniques and sub-techniques. [3]

  6. Adversary (cryptography) - Wikipedia

    en.wikipedia.org/wiki/Adversary_(cryptography)

    and so on. In actual security practice, the attacks assigned to such adversaries are often seen, so such notional analysis is not merely theoretical. How successful an adversary is at breaking a system is measured by its advantage. An adversary's advantage is the difference between the adversary's probability of breaking the system and the ...

  7. Threat model - Wikipedia

    en.wikipedia.org/wiki/Threat_model

    An attack is an instantiation of a threat scenario which is caused by a specific attacker with a specific goal in mind and a strategy for reaching that goal. The goal and strategy represent the highest semantic levels of the DML model.

  8. Adversary model - Wikipedia

    en.wikipedia.org/wiki/Adversary_model

    The oblivious adversary is sometimes referred to as the weak adversary. This adversary knows the algorithm's code, but does not get to know the randomized results of the algorithm. The adaptive online adversary is sometimes called the medium adversary. This adversary must make its own decision before it is allowed to know the decision of the ...

  9. Threat actor - Wikipedia

    en.wikipedia.org/wiki/Threat_actor

    Denial of Service Attacks. A denial-of-service attack (DoS attack) is a cyber-attack in which a threat actor seeks to make an automated resource unavailable to its victims by temporarily or indefinitely disrupting services of a network host. Threat actors conduct a DoS attack by overwhelming a network with false requests to disrupt operations. [20]