In computer science, attack patterns are a group of rigorous methods for finding bugs or errors in code related to computer security. Attack patterns are often used for testing purposes and are very important for ensuring that potential vulnerabilities are prevented. The attack patterns themselves can be used to highlight areas which need to be considered for security hardening in a software application.
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Architectural attack patterns are used to attack flaws in the architectural design of the system. These are things like weaknesses in protocols, authentication strategies, and system modularization. These are more logic-based attacks than actual bit-manipulation attacks. Physical attack patterns are targeted at the code itself. These are things such as SQL injection attacks, buffer overflows, race conditions, and some of the more common forms of attacks that have become popular in the news. External attack patterns include attacks such as trojan horse attacks, viruses, and worms. Attack Patterns are structured very much like structure of Design patterns. Using this format is helpful for standardizing the development of attack patterns and ensures that certain information about each pattern is always documented the same way. A recommended structure for recording Attack Patterns is as follows: Pattern Name. The label given to the pattern which is commonly used to refer to the pattern in question.
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Attack patterns can be used as a means to describe causal relationships between the events detected at different stages of an attack. In this paper, we introduce an agent-based system that collects relevant event data from various sources in the network, and then correlates the events according to predefined attack patterns.
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