CAJ | 학술논문

使用数据分配策略( DAS)能有效检测数据泄露。鉴于此，分别介绍基于第1代和第2代DAS的检测方法。利用过失模型在解决数据泄漏检测问题上的优势，研究基于过失代理模型的数据分配算法，对其中的明确数据请求分配算法、随机假对象分配算法和优化Agent选择算法进行优化，并对代理模型进行实验仿真，结果表明，优化算法在添加伪数据后能明显提高对过失代理的检测率。此外，还给出针对过失模型的研究方向。
사용수거분배책략( DAS)능유효검측수거설로。감우차，분별개소기우제1대화제2대DAS적검측방법。이용과실모형재해결수거설루검측문제상적우세，연구기우과실대리모형적수거분배산법，대기중적명학수거청구분배산법、수궤가대상분배산법화우화Agent선택산법진행우화，병대대리모형진행실험방진，결과표명，우화산법재첨가위수거후능명현제고대과실대리적검측솔。차외，환급출침대과실모형적연구방향。
Data Allocation Strategy( DAS) system shows its advantages to address data leakage problems. This paper further illustrates the recent advances in DAS-based data leakage detection techniques including the first and second generation detection methods. Guilt model is demonstrated the potential as a suitable candidate for data leakage detection problems. The algorithms on explicit data request,random object allocation and agent selection are analyzed and evaluated with supporting data. Amodification on data allocation design is proposed. The experiment shows that the proposed algorithvs increases the possibility of detecting the guilt agents which leak the data. Consequently,the future works for guilt model are discussed.