intrusion detection base-rate fallacy substantial value intrusion detection system bayesian detection rate many different demand intrusion alarm reasonable set limiting factor false alarm rate low false alarm rate baserate fallacy phenomenon. A common experimental bias in network intrusion detection is the base rate fallacy [5]: given the large imbalance between benign and malicious traffic, even F PR = 0.1% would cause too many false positives per day (hundreds of thousands), so T PR = T P /T P + F N is not the right target metric to be looking for. This paper aims to demonstrate that, for a reasonable set of assumptions, the false alarm rate is the limiting factor for the performance of an intrusion detection system. This is due to the base-rate fallacy phenomenon, that in order to achieve substantial values of the Bayesian detection rate, P(Intrusion|Alarm), we have to achieve a—perhaps in some cases unattainably— low false alarm rate. The Base-Rate Fallacy and the Difficulty of Intrusion Detection STEFAN AXELSSON Ericsson Mobile Data Design AB Many different demands can be made of intrusion detection systems. An important require- ment is that an intrusion detection system be effective ; that is, it should detect a substantial percentage of intrusions into the supervised system, while still keeping the false alarm rate at an acceptable level. The Base-Rate Fallacy To be of practical use, an intrusion detection system should detect a substantial percentage of intrusions while keeping the false alarm rate at an acceptable level. If only a modest percentage of actual intrusions are detected, the system provides a false sense of security.
false alarm rate is the limiting factor for the performance of an intrusion detection system. This is due to the base-rate fallacy phenomenon, that in order to ^ An important requirement of an intrusion detection system is that it be effective i.e. that it should detect a substantial percentage of intrusions into the supervised. Intrusion Detection Systems. (cont'd). • Few anti-intrusion techniques: – Prevention – e.g. don't connect to the internet. – Preemption – strike against threat before Intrusion Detection: Base Rate Fallacy. Prof. Ravi Sandhu. Executive Director and Endowed Chair. Lecture 11 ravi.utsa@gmail.com www.profsandhu.com.
IDS Problem: Base Rate Fallacy. ▫ IDS useless unless accurate. ▫ Significant fraction of intrusions detected. ▫ Significant number of alarms correspond to. 10 Jul 2012 This is due to the base‐rate fallacy phenomenon, which says that in order to achieve substantial value for the Bayesian detection rate, it is Keywords: base rates; Bayes theorern; fallacy; judgrnent; natural ecology; probability lntroduction the case for a general base rate fallacy has been overstated at both the cal investigations in the signal detection literature, which showed base-rate fallacy affects the required performance of the intrusion detection system with regard to false alarm rejection. In what follows, Section 4 gives a description of the base-rate fallacy.
The base rate fallacy, also called base rate neglect or base rate bias, is a fallacy. If presented Someone making the 'base rate fallacy' would infer that there is a 99% chance that the detected person is a terrorist. Although the inference seems false alarm rate is the limiting factor for the performance of an intrusion detection system. This is due to the base-rate fallacy phenomenon, that in order to ^ An important requirement of an intrusion detection system is that it be effective i.e. that it should detect a substantial percentage of intrusions into the supervised. Intrusion Detection Systems. (cont'd). • Few anti-intrusion techniques: – Prevention – e.g. don't connect to the internet. – Preemption – strike against threat before Intrusion Detection: Base Rate Fallacy. Prof. Ravi Sandhu. Executive Director and Endowed Chair. Lecture 11 ravi.utsa@gmail.com www.profsandhu.com. 20 May 1999 Effectiveness How effective is the intrusion detection. To what degree does it detect intrusions into the target system, and how good is it at
21 Sep 2019 intrusion detection system is the false alarm rate due to base rate fallacy problem. The limiting factor of IDS is not the ability to detect attacks but Every accurate (model|test) can be useless as detection tools if the studied case is sufficiently rare among the general population. The data model will produce IDS Problem: Base Rate Fallacy. ▫ IDS useless unless accurate. ▫ Significant fraction of intrusions detected. ▫ Significant number of alarms correspond to. 10 Jul 2012 This is due to the base‐rate fallacy phenomenon, which says that in order to achieve substantial value for the Bayesian detection rate, it is Keywords: base rates; Bayes theorern; fallacy; judgrnent; natural ecology; probability lntroduction the case for a general base rate fallacy has been overstated at both the cal investigations in the signal detection literature, which showed