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There are a large variety of different adversarial attacks that can be used against machine learning systems. Many of these work on both deep learning systems as well as traditional machine learning models such as SVMs [8] and linear regression. [76] A high level sample of these attack types include: Adversarial Examples [77]
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]
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
Provides indicators of actions taken during each stage of the attack. [16] Communicates threat surfaces, attack vectors and malicious activities directed to both information technology and operational technology platforms. Serve as fact-based repository for evidence of both successful and unsuccessful cyber attacks.
The resulting representation was called "attack trees." In 1998 Bruce Schneier published his analysis of cyber risks utilizing attack trees in his paper entitled "Toward a Secure System Engineering Methodology". [5] The paper proved to be a seminal contribution in the evolution of threat modeling for IT-systems.
The purpose of these attacks is to install custom malware. [8] APT attacks on mobile devices have also become a legitimate concern, since attackers are able to penetrate into cloud and mobile infrastructure to eavesdrop, steal, and tamper with data. [9] The median "dwell-time", the time an APT attack goes undetected, differs widely between regions.
Since 2008, there has been a rise in workplace violence that many experts believe is closely associated with the increasing pressure people are feeling at work and overall uncertainty about jobs ...
Attack trees have also been used to understand threats to physical systems. Some of the earliest descriptions of attack trees are found in papers and articles by Bruce Schneier, [4] when he was CTO of Counterpane Internet Security. Schneier was clearly involved in the development of attack tree concepts and was instrumental in publicizing them.