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When IDSs were first contemplated in the 1970s and 1980s, many focused on anomaly detection Researchers continue to devote energy to this method, but pattern-based detection has been the dominant strategy for the last decade Pattern-based detection prevailed for a few simple reasons First, it was easier for developers to implement Searching a packet or reassembled stream for a string of characters is conceptually simple Ever-increasing traffic loads and deployment of encryption frustrate this approach, but pattern matching survives Second, it is easier for analysts to understand If an analyst knows the detection product is watching for a certain pattern, it makes sense when the IDS reports seeing that pattern If the pattern does not indicate a malicious event occurred, it's not the IDS's fault Verification has been lacking, but NSM approaches and integration of assessment techniques make pattern matching increasingly effective Third, it is much easier to deploy a rule based on a new pattern than it is to implement a new algorithm for anomaly-based intrusion detection Snort rules are released within hours of the discovery of a new worm, exploit, and other malicious code Engineers and analysts can plug the new rule into their product and validate or tune it as necessary Anomaly detection is not dead, however Pattern-matching systems are frequently compared to signature-based antivirus products If an antivirus product strictly relied on patterns to intercept and defeat malware, users would suffer infections much more often Antivirus products supplement their pattern-matching features with heuristic detection algorithms Heuristic techniques concentrate more on the acts the malware take, like opening network sockets, sending e-mail, and so on, and less on the code used to bring these acts to life Implementing heuristic detection or anomaly-based detection requires knowing what is normal, suspicious, and malicious We encountered those terms earlier in the book with respect to manual inspection of security events In some sense a human analyst is an anomaly detection device An experienced uman analyst develops a sense of what is normal for the organizations he or she monitors Seeing an alert or session that falls outside those boundaries of normality prompts the analyst to investigate Validating these unusual events requires access to high-fidelity network traffic, as is provided by session data and full content data Network profiling is related to anomaly detection It's the idea that organizations should develop a formal sense of the devices and traffic patterns required for normal operational use Introduction of new devices or traffic types should raise an alarm Marcus Ranum calls this technique first seen anomaly detection: "[A first seen anomaly detection] system treats the first time it sees an instance of a thing as an anomaly It's accurate that something never seen before is always anomalous, in at least a few senses of the word When I was looking at statistical anomaly detection for IDS I realized that the first seen anomaly was 99% of what you'd get [with statistical anomaly detection products]".

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Before you enter a new bug report, you should search Bugzilla to ee if the problem you are experiencing has already been reported If the problem has already been reported, you can still comment on it and add yourself to the cc list to keep track of the progress However, don t worry if you report a known problem; the responsible developer will simply mark it as a duplicate Even if the problem is known, you may be able to provide new information such as how to recreate it Your bug report will get the most attention if it occurs in the version currently under development Try to reproduce your bug on a recent build (see the WTP Build Types section in 4, Setting Up Your Workspace) Writing good bug reports takes practice The most helpful thing you can do is to provide instructions that let the developer reproduce the problem Most bugs that can be easily reproduced can be easily fixed To enter a new bug, or add information to an existing bug, you ll need to register your e-mail address with Bugzilla Entering a bug report is just the start of your contribution As the bug is being worked on, you ll receive e-mail notifications of its progress The developer assigned to fix the bug may ask you for more information Please respond in a timely fashion If you don t, the developer may simply close the bug with no action if he can t reproduce the error When the developer fixes the problem, your next contribution will be to verify that the fix is correct You ll need to download the fixed version and attempt to recreate the error If you can no longer recreate the error, report that the fix has been verified Otherwise, report that the error still exists so the developer can continue work.

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