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  • Volume 2015

    Security by IDS-AM-Clust, honeyd and honeycomb
    (International Journal of Engineering Works)

    Vol. 2, Issue 9, PP. 84-92, Sept. 2015
    Keywords: Honeypot, Honeyd, Honeycomb, IDS, Mobile Agent, Clust-Density, Attacks

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    Abstract

    Various tools and methods are developed to secure our information systems against hackers.This work proposes a new security architecture of IS, using a combination of Honeyd and their plugin honeycomb with intrusion detection system based on mobile agent and data mining algorithm Clust-density. theprinciplal goal is to detect intrusions flowing through the network. also, we show that by using this architecture, we obtained a higher level of security and we can study the behavior of the pirates and their techniques to evaluate the system in which it is implemented by simulating a vulnerable machine and /or network.

    Author

    Affilation : Systems Engineering Laboratory, Data Analysis and Security Team National  School of Applied Sciences, University Ibn Tofail, Kénitra, Morocco

    Emails:

    chaimaesaadi900@gmail.com *

    mejhed90@gmail.com **

     

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    Cite

    Chaimae Saadi, Habiba Chaoui, "Security by IDS-AM-Clust, honeyd and honeycomb" International Journal of Engineering Works, Vol. 2, Issue 9, PP. 84-92, Sept. 2015. 

    References

     

    [1]       L. Zpitzner, Honeypots: Tracking Hackers, Addison Wasley Professional, ISBN-10: 0321108957, (septembre 2002).

    [2]       Ashish Girdhar et Al : Comparative Study of Different Honeypots System, Volume 2, Issue 10 (August 2012), PP. 23-27.

    [3]       S. S. Muhammad, S. H. Choong, A Novel Architecture for Real-time Automated Intrusion Detection Fingerprinting using Honeypot, 27th KIPS Spring Conference, Korea, pp.1093-1095, (mai 2007).

    [4]       Bill Cheswick, “An Evening with Berferd: In Which a Cracker is Lured, Endured, and Studied.” 1991.

    [5]       Chaimae Saadi, Habiba Chaoui and Hassan Erguig  Security Analysis Using IDs Based on Mobile Agents and Data Mining Algorithms / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (1), 597- 602, 2015.

    [6]       Chaimae Saadi, Habiba Chaoui, Hassan Erguig, Contribution to Abnormality Detection by Use of Clust-Density Algorithm DOI: http://dx.doi.org/10.15866/irecos.v10i4.5699/2015

    [7]       Chaimae saadi and Habiba Chaoui, IDS based interaction on mobile agents and Clust-density algorithm IDS-AM-Clust curent accepted .

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    [11]    Ram Kumar Singh : Intrusion Detection System Using Advanced Honeypots, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 2, No. 1, 2009.

    [12]    S. Riebach, B. Toedtmann, E. Rathgeb. Combining IDS and Honeynet Methods for Improved Detection and Automatic Isolation of Compromised Systems, Computer Networking Technology Group, Institute for Experimental Mathematics, University Duisburg-Essen, Germany, (2006).

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