Recommended citation: Yuan, X., Setayeshfar, O., Yan, H., Panage, P., Wei, X. and Lee, K.H., 2017, April. DroidForensics: Accurate Reconstruction of Android Attacks via Multi-layer Forensic Logging. In Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security (pp. 666-677). ACM. https://dl.acm.org/citation.cfm?id=3052984
This patent explins a modular system that calulates how safe a software is based on its lineage, behaviours and third party sources
Recommended citation: Rhee, J., Wu, Z., Korts-Parn, L., Jee, K., Zhichun, L.I. and Setayeshfar, O., NEC Corp and NEC Laboratories America Inc, 2019. Automated software safeness categorization with installation lineage and hybrid information sources. U.S. Patent Application 16/040,086. https://patents.google.com/patent/US20190050571A1/en
This patent explins a methods for infering program lineage from a crowd sources enviroment
Recommended citation: Rhee, J., Wu, Z., Korts-Parn, L., Jee, K., Zhichun, L.I. and Setayeshfar, O., NEC Corp and NEC Laboratories America Inc, 2019. Path-based program lineage inference analysis. U.S. Patent Application 16/039,993. https://patents.google.com/patent/US20190050562A1/en