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Once stored, also erroneous events are not changed anymore. The only way to change (or better: correct) these events is to instantiate a new event with the new values and using the double timeline. A correcting event would have the new values of the original event, with an event data of that corrected event, but a different transaction date.
Correlation is typically a function of the Security Event Management portion of a full SIEM solution. [23] Alerting: The automated analysis of correlated events. Dashboards: Tools can take event data and turn it into informational charts to assist in seeing patterns, or identifying activity that is not forming a standard pattern.
The Worst Passwords List is an annual list of the 25 most common passwords from each year as produced by internet security firm SplashData. [3] Since 2011, the firm has published the list based on data examined from millions of passwords leaked in data breaches, mostly in North America and Western Europe, over each year.
The salt and hash are then stored in the database. To later test if a password a user enters is correct, the same process can be performed on it (appending that user's salt to the password and calculating the resultant hash): if the result does not match the stored hash, it could not have been the correct password that was entered.
Event de-duplication is a special type of event aggregation that consists in merging exact duplicates of the same event. Such duplicates may be caused by network instability (e.g., the same event is sent twice by the event source because the first instance was not acknowledged sufficiently quickly, but both instances eventually reach the event ...
In the simple case where the reduction function and the hash function have no collision, given a complete rainbow table (one that makes sure to find the corresponding password given any hash) the size of the password set |P|, the time T that had been needed to compute the table, the length of the table L and the average time t needed to find a ...
Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), [1] and deriving a conclusion from them. Complex event processing ( CEP ) consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from ...
Event data may refer to: Events within an Event-driven architecture; Events handled by Event stream processing; Events handled by Complex event processing;