在模擬免疫系統(tǒng)的主組織相容復(fù)雜性的基礎(chǔ)上，結(jié)合模糊邏輯與擴(kuò)展陰性選擇算法提出了一個(gè)基于免疫系統(tǒng)主組織相容復(fù)雜性的模糊邏輯綜合決策算法，并用該算法構(gòu)建了一個(gè)實(shí)際的基于網(wǎng)絡(luò)的入侵檢測(cè)系統(tǒng)。該算法應(yīng)用高效的擴(kuò)展陰性選擇算法作出第一次網(wǎng)絡(luò)流量檢測(cè)，當(dāng)網(wǎng)絡(luò)數(shù)據(jù)異常特征明顯時(shí)，能直接檢測(cè)出入侵。若其不能準(zhǔn)確地識(shí)別待分析數(shù)據(jù)，則利用具有檢測(cè)結(jié)果準(zhǔn)確優(yōu)勢(shì)的規(guī)則匹配算法作出二次檢測(cè)，最后結(jié)合兩次檢測(cè)結(jié)論用模糊邏輯決策模型做出綜合決策。A novel algorithm based on the simulation of the major histocompatibility complex feature of human immune system is proposed. The extended negative selection algorithm makes the first decision to decide whether the network traffic is intrusion. Another algorithm, rule match-based alglrithm, makes the second decision while the first decision failed to identify the intrusion. The proposed algorithm, called major histocompatibility complex feature-based synthetic fuzzy decision-making algorithm, composes the first decision and the second decision to make a synthetic fuzzy decision by taking advantage of fuzzy logic.