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  2. Threat model - Wikipedia

    en.wikipedia.org/wiki/Threat_model

    Conceptually, a threat modeling practice flows from a methodology. Numerous threat modeling methodologies are available for implementation. Typically, threat modeling has been implemented using one of five approaches independently: asset-centric, attacker-centric, software-centric, value and stakeholder-centric, and hybrid.

  3. STRIDE model - Wikipedia

    en.wikipedia.org/wiki/STRIDE_model

    The STRIDE was initially created as part of the process of threat modeling. STRIDE is a model of threats, used to help reason and find threats to a system. It is used in conjunction with a model of the target system that can be constructed in parallel. This includes a full breakdown of processes, data stores, data flows, and trust boundaries. [5]

  4. Cybersecurity engineering - Wikipedia

    en.wikipedia.org/wiki/Cybersecurity_engineering

    Cybersecurity engineering is a tech discipline focused on the protection of systems, networks, and data from unauthorized access, cyberattacks, and other malicious activities. It applies engineering principles to the design, implementation, maintenance, and evaluation of secure systems, ensuring the integrity, confidentiality, and availability ...

  5. Attack tree - Wikipedia

    en.wikipedia.org/wiki/Attack_tree

    Attack trees are conceptual diagrams showing how an asset, or target, might be attacked. [1] Attack trees have been used in a variety of applications. In the field of information technology, they have been used to describe threats on computer systems and possible attacks to realize those threats.

  6. DREAD (risk assessment model) - Wikipedia

    en.wikipedia.org/wiki/DREAD_(risk_assessment_model)

    It was initially proposed for threat modeling but was abandoned when it was discovered that the ratings are not very consistent and are subject to debate. It was discontinued at Microsoft by 2008. [2] When a given threat is assessed using DREAD, each category is given a rating from 1 to 10. [3]

  7. Adversarial machine learning - Wikipedia

    en.wikipedia.org/wiki/Adversarial_machine_learning

    Model extraction involves an adversary probing a black box machine learning system in order to extract the data it was trained on. [62] [63] This can cause issues when either the training data or the model itself is sensitive and confidential. For example, model extraction could be used to extract a proprietary stock trading model which the ...

  8. Dolev–Yao model - Wikipedia

    en.wikipedia.org/wiki/Dolev–Yao_model

    The adversary in this model can overhear, intercept, and synthesize any message and is only limited by the constraints of the cryptographic methods used. In other words: "the attacker carries the message." This omnipotence has been very difficult to model, and many threat models simplify it, as has been done for the attacker in ubiquitous ...

  9. Software assurance - Wikipedia

    en.wikipedia.org/wiki/Software_Assurance

    Software assurance initiatives are programs and activities designed to ensure the quality, reliability, and security of software systems. These initiatives are important because software is used in a wide range of applications, from business operations to critical infrastructure, and defects or vulnerabilities in software can have serious consequences.