Bass T., "Intrusion Detection Systems and Multisensor Data Fusion", Communications of the ACM, Vol. 43, No. 4, pp 99-105, April, 2000. Home/Search Document Details and Download
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Mr. Fusion: A Programmable Data Fusion Middleware Subsystem .. - Franz, Mista, al. (2002) (Correct)
....is more general than voting in two key ways. In data fusion the values are not expected to be identical and there are not necessarily a well defined number of replies (as with the case of a replicated server group, for example) Examples of data fusion include collating intrusion detection alerts [2], distributed sensor networks [10] ad hoc mobile network protocols (which typically aggregate many values into one, typically to save battery power on expensive transmissions) parallel neural nets trained differently to estimate the power grid safety margin [5] and hierarchical resource ....
Bass, T. "Intrusion Detection Systems and Multisensor Data Fusion", Communications of the ACM, 43(4), April 2000, 99-105.
Dependability Issues of Pervasive Computing in a Healthcare .. - Bohn, Gärtner, Vogt (2003) (Correct)
....[2, 13] or a firewall [34] In particular, to protect a heterogeneous and highly distributed pervasive computing infrastructure, the security mechanisms have to give special attention to its physical distributedness. For instance, in the pervasive hospital, a distributed intrusion detection system [10] is required to cope with distributed attacks. On the other hand, the quality of a security audit heavily relies on the composition of the collected data, especially its integrity, confidentiality, authenticity, completeness, and quality: First, it must be ensured that the auditing is performed ....
Tim Bass. Intrusion Detection Systems and Multisensor Data Fusion. Communications of the ACM, 43(4):99--105, 2000.
Dependable Systems of System - Dsos Ist- Dependable (Correct)
....observation orientation decision action [Boy87] The Boyd control cycle or OODA loop (see Figure 5) represents the classic decisionsupport mechanism in military information operations. Because decision support systems for situational awareness are tightly coupled with data fusion systems [Bas00], the Boyd loop has also been used for data fusion. 2.4.4 The Time Triggered Sensor Fusion Model Because none of the existing fusion models was adequate for modelling a real time system with data acquisition, fusion processing, and control decisions, the concept of a time triggered sensor fusion ....
T. Bass. Intrusion Detection Systems and Multisensor Data Fusion: Creating Cyberspace Situational Awareness. Communications of the ACM, 43(4):99--105, May 2000.
SHOMAR: An Open Architecture for Distributed Intrusion .. - Undercoffer, Perich.. (Correct)
....station, the analytical station, the inference engine or a combination thereof. The key motivation behind SHOMAR is to provide for a system of distributed intrusion detection clusters which are independent of each other yet collaborate to form a collective Intrusion Detection System. Bass [3] introduces the notion of fusing data originating from heterogeneous devices as a means of providing Cyberspace Situational Awareness to detect and respond to intrusions. In [2] they introduce a system of autonomous agents, each tasked with identifying a specific type of intrusion. The Intrusion ....
Tim Bass. Intrusion Detection Systems and Multisensor Data Fusion. In Communications of the ACM, volume 43, pages 99--105, April 2000. 18
Middleware Support for Voting and Data Fusion - Zhiyuan (2001) (6 citations) (Correct)
....are issues. Another difference is that the values are not necessarily expected to be the same or even close, as with actively replicated servers. Data fusion is a key technique used with distributed sensor networks [18] which are becoming increasingly prevalent, and intrusion detection systems [5], which are becoming increasingly necessary. Middleware is a layer of software above the operating system that offers a common programming abstraction across a distributed system and helps mask the different kinds of heterogeneity inherent in distributed systems [3] Middleware systems such as ....
T. Bass. Intrusion detection systems and multisensor data fusion. Communications of the ACM, 43(4), April 2000.
The Time-Triggered Sensor Fusion Model - Elmenreich, Pitzek (2001) (1 citation) (Correct)
....of observation orientation decision action [Boy87] The Boyd control cycle or OODA loop (see Figure 1) represents the classic decision support mechanism in military information operations. Because decisionsupport systems for situational awareness are tightly coupled with data fusion systems [Bas00] the Boyd loop has also been used for data fusion. The Time Triggered Computation Model and Client Server Architectures The time triggered model of computation [Kop98] is a model for the representation and analysis of real time systems. It is intended for the representation and analysis of the ....
T. Bass. Intrusion detection systems and multisensor data fusion: Creating cyberspace situational awareness. Communications of the ACM, 43(4):99--105, May 2000.
A glimpse into the future of ID - Bass, Gruber (2001) (2 citations) Self-citation (Bass) (Correct)
....in Figure 3. Next generation cyberspace IDSes require the fusion of data from heterogeneous distributed network sensors, modeled in Figure 4. Historical Intrusion Detection Systems We offer a brief review of the state of the art of current generation ID systems, from our recent ACM paper[2]. Internet ID systems historically examine operating system audit trails and Internet traffic[5, 6] to help insure the availability, confidentiality, and integrity of critical information infrastructures. ID systems attempt to protect information infrastructures against denial of service attacks, ....
....today may be summarized as: known pattern templates, threatening behavior templates, traffic analysis, statistical anomaly detection, and state based detection. These systems have not matured to a level where sophisticated network centric attacks are reliably detected, verified, and assessed. [2] Computer intrusion detection systems were introduced in the mid 1980s to complement conventional approaches to computer security. IDS designers often cite Denning s[5] 1987 intrusion detection model built on host based subject profiles, systems objects, audit logs, anomaly records, and activity ....
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Bass, T. "Intrusion Detection Systems and Multisensor Data Fusion: Creating Cyberspace Situational Awareness." Communications of the ACM. Forthcoming, 1999.
Multisensor Data Fusion for Next Generation Distributed Intrusion.. - Bass (1999) (2 citations) Self-citation (Bass) (Correct)
....there are significant technical challenges ahead in a rapidly growing cyberspace intrusion detection situational awareness marketplace. Figure 1 illustrates the levels of situational awareness inference required to support both the warfighter and the network manager during cyberoperations [3]. Both commercial and military operations require cyberspace intrusion detection and situational awareness systems; sophisticated electronics must identify objects against a noise saturated environment, track the objects, calculate the velocity, and estimate the projected threat. These are ....
....Next generation cyberspace intrusion detection (ID) systems require the fusion of data from heterogeneous dis 1999 IRIS NATIONAL SYMPOSIUM DRAFT April 21, 1999 2 tributed network sensors. Section III summarizes these high level IDS fusion requirements identified in our recent ACM paper [3] on the subject. The underlying issues and challenges are by no means unique to intrusion detection systems; network management is also a very expensive infrastructure to operate. Generally, these systems fail to provide network engineers concrete situational information, typically overwhelming ....
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Bass, T., Intrusion Detection Systems and Multisensor Data Fusion: Creating Cyberspace Situational Awareness, Communications of the ACM (to appear), 1999.
Host-Based Intrusion Detection Using Self-Organizing Maps - Peter Lichodzijewski Nur (2002) (1 citation) (Correct)
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Bass T., "Intrusion Detection Systems and Multisensor Data Fusion", Communications of the ACM, Vol. 43, No. 4, pp 99-105, April, 2000.
A Multiagent Approach to Outbound Intrusion Detection - Mandujano (2004) (Correct)
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Bass, T. Intrusion Detection Systems and Multisensor Data Fusion. Communications of the ACM, pp. 99--105, vol. 1, num. 1, 1999.
Proceedings Of The - Midstates Conference On (2005) (Correct)
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T. Bass. Intrusion Detection Systems and Multisensor Data Fusion: Creating Cyberspace Situational Awareness. Communications of the ACM, Vol. 43, No. 4 (2000): 99-105.
Information Fusion for Data Dissemination in.. - Nakamura.. (2005) (Correct)
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Bass, T.: Intrusion detection systems and multisensor data fusion. Communications of the ACM 43 (2000) 99--105
Unsupervised Learning Techniques for an Intrusion Detection.. - Zanero, Savaresi (2004) (1 citation) (Correct)
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T. Bass. Intrusion detection systems and multisensor data fusion. Comm. of the ACM, 43(4):99--105, 2000.
A Hidden Markov model for Bayesian data fusion of.. - Olivier Feron And (2003) (Correct)
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T. Bass, "Intrusion detection systems and multisensor data fusion," in Comm. of the ACM, vol. 43, pp. 99--105, 2000.
Towards Multisensor Data Fusion for DoS Detection - Siaterlis, Maglaris (2004) (2 citations) (Correct)
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T. Bass. Intrusion detection systems and multisensor data fusion. Communications of the ACM, 43(4):99--105, Apr. 2000.
A novel approach for a Distributed Denial of Service.. - Siaterlis, Maglaris.. (2003) (Correct)
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Tim Bass. Intrusion detection systems and multisensor data fusion. Communications of the ACM, 43(4):99--105, April 2000.
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