CAJ | 학술논문

针对网络异常性指数的计算问题，基于数量特征指数、成分特征指数、分布特征指数和模式特征指数提出了一种直推式定量计算方法--QCDP法，通过应用真实网络流数据的7个实验验证了该方法的有效性。理论分析与实验结果表明：与传统的基于流量的直推式方法相比，QCDP法能够更有效地反映出典型网络安全事件对宏观态势产生的影响；与归纳式方法相比，QCDP法具有更好的客观性、实时性和实用性。
침대망락이상성지수적계산문제，기우수량특정지수、성분특정지수、분포특정지수화모식특정지수제출료일충직추식정량계산방법--QCDP법，통과응용진실망락류수거적7개실험험증료해방법적유효성。이론분석여실험결과표명：여전통적기우류량적직추식방법상비，QCDP법능구경유효지반영출전형망락안전사건대굉관태세산생적영향；여귀납식방법상비，QCDP법구유경호적객관성、실시성화실용성。
For the problem of network abnormality index calculation, a transductive quantitative calculation approach named QCDP was proposed based on quantitative characteristics index, composition characteristics index, distribution characteristics index and pattern characteristics index. Seven experiments using real network traces were made to validate the effectiveness of QCDP. Theoretical analysis and experimental results show that, compared with the traditional trans-ductive method based on traffic, the QCDP can more effectively reflect the macro situation of typical network security incidents;compared with the inductive methods, the QCDP has better objectivity, instantaneity and practicability.