ACM Home Page
Please provide us with feedback. Feedback
Evaluation of Intrusion Detection Systems Under a Resource Constraint
Full text PdfPdf (507 KB)
Source
ACM Transactions on Information and System Security (TISSEC) archive
Volume 11 ,  Issue 4  (July 2008) table of contents
Article No. 20  
Year of Publication: 2008
ISSN:1094-9224
Authors
Young U. Ryu  The University of Texas at Dallas
Hyeun-Suk Rhee  The University of Texas at Dallas
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 42,   Downloads (12 Months): 378,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1380564.1380566
What is a DOI?

ABSTRACT

An intrusion detection system plays an important role in a firm's overall security protection. Its main purpose is to identify potentially intrusive events and alert the security personnel to the danger. A typical intrusion detection system, however, is known to be imperfect in detection of intrusive events, resulting in high false-alarm rates. Nevertheless, current intrusion detection models unreasonably assume that upon alerts raised by a system, an information security officer responds to all alarms without any delay and avoids damages of hostile activities. This assumption of responding to all alarms with no time lag is often impracticable. As a result, the benefit of an intrusion detection system can be overestimated by current intrusion detection models. In this article, we extend previous models by including an information security officer's alarm inspection under a constraint as a part of the process in determining the optimal intrusion detection policy. Given a potentially hostile environment for a firm, in which the intrusion rates and costs associated with intrusion and security officers' inspection can be estimated, we outline a framework to establish the optimal operating points for intrusion detection systems under security officers' inspection constraint. The optimal solution to the model will provide not only a basis of better evaluation of intrusion detection systems but also useful insights into operations of intrusion detection systems. The firm can estimate expected benefits for running intrusion detection systems and establish a basis for increase in security personnel to relax security officers' inspection constraint.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
2
 
3
Cardenas, A. A., Ramezani, V., and Baras, J. S. 2003. HMM sequential hypothesis tests for intrusion detection in MANETs. Technical Report 2003-47, Department of Electrical and Computer Engineering, Maryland University.
 
4
5
 
6
Endorf, C., Schultz, E., and Mellander, J. 2004. Intrusion Detection & Prevention. Emeryville, CA: McGraw-Hill/Osborne.
 
7
 
8
Kemmerer, R. A. and Vigna, G. 2002. Intruder detection: A brief history and overview. Secur. Privacy, Suppl. Comput. 0, 27--30.
 
9
Kent, S. 2000. On the trail of intrusions into information systems. IEEE Spectrum 37, 12, 52--56.
 
10
 
11
 
12
Lippmann, R. P., Fried, D. J., Graf, I., Haines, J. W., Kendall, K. R., McClung, D., Weber, D., Webster, S. E., Wyschogrod, D., Cunningham, R. K., and Zissman, M. A. 2000. Evaluating intrusion detection systems: The 1998 DARPA off-line intrusion detection evaluation. In Proceedings of DARPA Information Survivability Conference and Exposition (DISCEX'00). Vol. 2. Hilton Head, SC, 1012--1026.
 
13
Metz, C. E. 1978. Basic principles of ROC analysis. Seminars in Nuclear Medicine 8, 4, 283--298.
 
14
 
15
 
16
Porras, P. A. and Neumann, P. G. 1997. EMERALD: Event monitoring enabling responses to anomalous live disturbances. In Proceedings of the 20th NIST-NCSC National Information Systems Security Conference (NISSC'97). Baltimore, MD, 353--365.
 
17
 
18
Ryu, Y. U. and Yue, W. T. 2003. A risk-based evaluation of intrusion detection systems in the presence of the base-rate fallacy. Working paper, Department of Information Systems and Operations Management, School of Management, The University of Texas at Dallas.
19
 
20
The Snort Project. 2007. Snort#8482; User Manual 2.6.1. Sourcefire, Inc.
 
21
 
22
Warrender, C., Forrest, S., and Pearlmutter, B. 1999. Detecting intrusions using system calls: Alternative data models. In Proceedings of the IEEE Symposium on Security and Privacy (SP'99). Oakland, CA, 133--145.
 
23
Zweig, M. H. and Campbell, G. 1993. Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clin. Chem. 39, 561--577.

Collaborative Colleagues:
Young U. Ryu: colleagues
Hyeun-Suk Rhee: colleagues