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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.
An event data recorder (EDR), more specifically motor vehicle event data recorder (MVEDR), similar to an accident data recorder, (ADR) sometimes referred to informally as an automotive black box (by analogy with the common nickname for flight recorders), is a device installed in some automobiles to record information related to traffic collisions.
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 ...
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 ...
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.
A data event is a relevant state transition defined in an event schema. [1] Typically, event schemata are described by pre- and post condition for a single or a set of data items . In contrast to ECA ( Event condition action ), which considers an event to be a signal, the data event not only refers to the change (signal), but describes specific ...