genetic security 中文意思是什麼
genetic security
解釋
基因安全-
Instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value
入侵檢測分析技術是入侵檢測系統的核心，主要分為異常入侵檢測和誤用入侵檢測。作者在對傳統網路安全模型、 ppdr模型、入侵檢測原理以及常用入侵檢測技術進行比較分析的基礎上，提出了一個基於遺傳神經網路的入侵檢測方法，採用遺傳演算法和bp神經網路相結合的方法?遺傳神經網路應用於入侵檢測系統中，解決了傳統的bp演算法的收斂速度慢、易陷入局部最小點的問題。 -
Along with the development of the cytobiology and the molecular biology, and thoroughly research of the biophysics, the biochemistry, the genetics and immunology, it has cultivated the modem biological technology, such al genetic engineering, cellular engineering, enzyme engineering, fermentation engineering and so on, to change biology characteristic to carry on the material transformation, has formed the front biological examination technology : the dna probe, the pcr technology, the molecular mark, the bioluminescence technology, genechip technology and so on the widespread application of these advanced biotechnologies in dairy industry baa impelled the dairying technical transformation, and has been having vital significance to dairy production, research and dairy product security
摘要隨著細胞生物學和分子生物學的發展及對生物物理、生物化學、遺傳學和免疫學研究的深入，培育了基因工程、細胞工程、酶工程、發酵工程等改變生物特性進行物質轉化的現代生物技術，形成了dna探針、 pcr技術、分子標記、生物熒光技術、基因晶元技術等前沿性的生物檢測技術，其在乳品工業中的廣泛應用，推動了乳業的技術變革，對乳品生產、研究和乳品安全意義重大。 -
To detect both known and unknown intrusion patterns, the system introduces a blended frame that makes use of both misuse detection approach and anomaly detection approach. the one of the highlight of the architecture is introduction of data mining technique, and the other is introduction of genetic algorithms. the ids uses data mining algorithms to abstract key features of system runtime status from security audit data, and it uses genetic algorithm to select the feature subset to reduce the amount of data that must be obtained from running processes and classified
本文陳述了所研究系統的主要特點和技術：將智能體（ agent ）技術應用於入侵檢測系統，解決了傳統入侵檢測系統的集中式解決方案的弊病，充分利用網路資源協同完成入侵檢測任務；利用基於主機和基於網路的數據源，形成一種完整的混合型的結構，從而能收集到更加全面的信息；使用了異常檢測技術和誤用檢測技術，採用一種混合型的結構，既能檢測已知的攻擊模式，又能發現新的攻擊模式。 -
In an addition, this thesis also analyzes and demonstrates some relative technologies of the system, such as database design, data security protecting strategies and communication mechanism. and the key and creative technologies, e. g. genetic algorithm to solve course - arranging problem, assistant descision - making support and data lifecycle technique, are emphasized and explained
隨后，本文還對本系統中的數據庫設計、數據安全保護策略、通信機制等相關技術作了詳細地分析，並且重點說明和闡述本系統中使用的遺傳演算法解決排課問題、輔助決策支持以及數據生命周期等關鍵和創新技術。
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