Information Flow Tracking(IFT)is an established formal method for proving security properties related to confidentiality,integrity,and isolation.It has seen promise in identifying security vulnerabilities resulting fr...Information Flow Tracking(IFT)is an established formal method for proving security properties related to confidentiality,integrity,and isolation.It has seen promise in identifying security vulnerabilities resulting from design flaws,timing channels,and hardware Trojans for secure hardware design.However,existing IFT methods tend to take a qualitative approach and only enforce binary security properties,requiring strict non-interference for the properties to hold while real systems usually allow a small amount of information flows to enable desirable interactions.Consequently,existing methods are inadequate for reasoning about quantitative security properties or measuring the security of a design in order to assess the severity of a security vulnerability.In this work,we propose two multi-flow solutions—multiple verifications for replicating existing IFT model and multi-flow IFT method.The proposed multi-flow IFT method provides more insight into simultaneous information flow behaviors and allows for proof of quantitative information flow security properties,such as diffusion,randomization,and boundaries on the amount of simultaneous information flows.Experimental results show that our method can be used to prove a new type of information flow security property with verification performance benefits.展开更多
IN the Miao ethnic town of SuiningCounty,southwest Hunan Province,theMiao people drink multi-flower tea.Whenvips come,warm-hearted hosts alwaysbring them the hot tea. The ingredients of multi-flower tea arepeels of ...IN the Miao ethnic town of SuiningCounty,southwest Hunan Province,theMiao people drink multi-flower tea.Whenvips come,warm-hearted hosts alwaysbring them the hot tea. The ingredients of multi-flower tea arepeels of wax gourds and pomelo,sugar,honey and osmanthus flowers. Autumn and winter are the seasons whenMiao women give full play to their wonder-展开更多
基金supported in part by the National Natural Science Foundation of China(No.61672433)the Natural Science Foundation of Shaanxi Province(No.2019JM-244)。
文摘Information Flow Tracking(IFT)is an established formal method for proving security properties related to confidentiality,integrity,and isolation.It has seen promise in identifying security vulnerabilities resulting from design flaws,timing channels,and hardware Trojans for secure hardware design.However,existing IFT methods tend to take a qualitative approach and only enforce binary security properties,requiring strict non-interference for the properties to hold while real systems usually allow a small amount of information flows to enable desirable interactions.Consequently,existing methods are inadequate for reasoning about quantitative security properties or measuring the security of a design in order to assess the severity of a security vulnerability.In this work,we propose two multi-flow solutions—multiple verifications for replicating existing IFT model and multi-flow IFT method.The proposed multi-flow IFT method provides more insight into simultaneous information flow behaviors and allows for proof of quantitative information flow security properties,such as diffusion,randomization,and boundaries on the amount of simultaneous information flows.Experimental results show that our method can be used to prove a new type of information flow security property with verification performance benefits.
文摘IN the Miao ethnic town of SuiningCounty,southwest Hunan Province,theMiao people drink multi-flower tea.Whenvips come,warm-hearted hosts alwaysbring them the hot tea. The ingredients of multi-flower tea arepeels of wax gourds and pomelo,sugar,honey and osmanthus flowers. Autumn and winter are the seasons whenMiao women give full play to their wonder-
