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Volumn , Issue , 2002, Pages 94-99

An intelligent agent security intrusion system

Author keywords

Computer networks; Computer security; Cryptography; Data encapsulation; Intelligent agent; IP networks; Monitoring; Physical layer; Predictive models; Protection

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER NETWORKS; COMPUTER SYSTEM FIREWALLS; CRYPTOGRAPHY; DATA ENCAPSULATION; FORECASTING; INTELLIGENT AGENTS; MONITORING; NETWORK LAYERS; SECURITY OF DATA; SOFTWARE AGENTS; SOFTWARE ENGINEERING; TELECOMMUNICATION NETWORKS;

EID: 84949675524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECBS.2002.999827     Document Type: Conference Paper
Times cited : (31)

References (22)
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    • Roger, B.1
  • 5
    • 85008025302 scopus 로고    scopus 로고
    • Detecting attacks on networks
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    • Chris Herringshaw, Detecting Attacks on Networks, IEEE Computer Magazine, pp 16-17, Dec. 1997.
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  • 6
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    • IDS Report S RI P roject 2596, Contract Number 910097C (Trusted Information Systems) under F30602-91-C-0067 (Rome Labs)
    • Debra Anderson, Detecting Unusual Program Behavior Using the NIDES Statistical Component, IDS Report S RI P roject 2596, Contract Number 910097C (Trusted Information Systems) under F30602-91-C-0067 (Rome Labs), 1995.
    • (1995) Detecting Unusual Program Behavior Using the NIDES Statistical Component
    • Debra, A.1
  • 8
    • 0004774386 scopus 로고    scopus 로고
    • Bayesian multivariate regression for predicting user behaviour in a software agent computer security system
    • Lisbon, Portugal June 21
    • J Pikoulas and K Triantafyllopoulos, Bayesian Multivariate Regression for Predicting User Behaviour in a Software Agent Computer Security System", 20th International Symposium on Forecasting, Lisbon, Portugal, June 21, 2000.
    • (2000) 20th International Symposium on Forecasting
    • Pikoulas, J.1    Triantafyllopoulos, K.2
  • 13
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    • The Bayesian Institute Bayes Thomas 7/5/2000
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  • 16
    • 0002715074 scopus 로고    scopus 로고
    • Forecasting the sort term demand for electricity. Do neural networks stand a better chance
    • Georges A. Darbellay and Marek Slama, Forecasting the sort term demand for electricity. Do neural networks stand a better chance, International Journal of Forecasting, pp. 71-83, 2000.
    • (2000) International Journal of Forecasting , pp. 71-83
    • Georges, A.D.1    Slama, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.