مشاهده مشخصات مقاله
A Parallel Genetic Local Search Algorithm for Computer Intrusion Detection
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نویسنده (ها) |
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M. Saniee Abadeh
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J. Habibi
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Z. Barzegar
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M. Sergi
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
The security of networked computers plays a strategic role in modern computer systems. This task is so
complicated because the determination of normal and abnormal behaviors in computer networks is hard, as the
boundaries cannot be well defined. This paper proposes a parallel genetic local search algorithm (PAGELS) to
generate fuzzy rules capable of detecting intrusive behaviors in computer networks. The system uses the
Michigan’s approach, where each individual represents a fuzzy rule which has the form “if condition then
prediction”. In the presented algorithm the global population is divided into some subpopulations, each assigned
to a distinct processor. Each subpopulation consists of the same class fuzzy rules. These rules evolve
independently in the proposed parallel manner. Experimental results show that the presented algorithm
produces fuzzy rules which can be used to construct a reliable intrusion detection system. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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