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Typically, threat modeling has been implemented using one of five approaches independently: asset-centric, attacker-centric, software-centric, value and stakeholder-centric, and hybrid. Based on the volume of published online content, the methodologies discussed below are the most well known.
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. [1] A survey from May 2020 revealed practitioners' common feeling for better protection of machine learning systems in industrial applications.
Cache attack — attacks based on attacker's ability to monitor cache accesses made by the victim in a shared physical system as in virtualized environment or a type of cloud service. Timing attack — attacks based on measuring how much time various computations (such as, say, comparing an attacker's given password with the victim's unknown ...
Direct attacks almost never work, one must first upset the enemy's equilibrium, fix weakness and attack strength, Eight rules of strategy: 1) adjust your ends to your means, 2) keep your object always in mind, 3) choose the line of the least expectation, 4) exploit the line of least resistance, 5) take the line of operations which offers the ...
Cyberweapons are commonly defined as malware agents employed for military, paramilitary, or intelligence objectives as part of a cyberattack.This includes computer viruses, trojans, spyware, and worms that can introduce malicious code into existing software, causing a computer to perform actions or processes unintended by its operator.
The Participants are one or more entities that are required for this attack to succeed. This includes the victim systems as well as the attacker and the attacker’s tools or system components. The name of the entity should be accompanied by a brief description of their role in the attack and how they interact with each other. Process Diagram
Cryptographic attacks that subvert or exploit weaknesses in this process are known as random number generator attacks. A high quality random number generation (RNG) process is almost always required for security, and lack of quality generally provides attack vulnerabilities and so leads to lack of security, even to complete compromise, in ...
The attack surface of a software environment is the sum of the different points (for "attack vectors") where an unauthorized user (the "attacker") can try to enter data to, extract data, control a device or critical software in an environment. [1] [2] Keeping the attack surface as small as possible is a basic security measure. [3]