Research on Data Leakage Detection Based on Data Allocation Strategy
Tang Changlon · Jisuanji gongcheng · 2015
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 w ith supporting data. Amodification on data allocation design is proposed. The experiment show s that the proposed algorithvs increases the possibility of detecting the guilt agents w hich leak the data. Consequently,the future w orks for guilt model are discussed.