Abstract: A composite solution for enhancing induced disease resistance of lentinan (LNT) to a plant, a preparation method of the composite solution, and a method for enhancing induced disease resistance of LNT to a plant are provided. The composite solution for enhancing induced disease resistance of LNT to a plant includes: an LNT-containing solution and an SPc-containing solution, where SPc is a dendritic macromolecule functionalized by an amino functional group, and has a structural formula shown in formula I, where n=1 to 100. An LNT/SPc complex is produced in the composite solution. SPc spontaneously combines with LNT through hydrogen bonding, such that an agglomerate structure formed by LNT in an aqueous solution is broken and reduced to a nano-scale particle size, and a spherical particle is produced, which can significantly reduce a contact angle of the LNT aqueous solution, and promote the distribution and diffusion of LNT.

Abstract: A method of identifying a point of compromise includes accessing data stored in a data storage system, the data being associated with a plurality of identified at-risk accounts, identifying a plurality of common points of transaction, each of the plurality of common points of transaction being associated with a minimum number of the plurality of identified at-risk accounts, and identifying a point of compromise from the plurality of common points of transaction based on (i) the number of the identified at-risk accounts involved in transactions executed via each common point of transaction during a time period, and (ii) a total number of accounts involved in transactions executed via the common point of transaction during the time period.

Abstract: A method of identifying a point of compromise includes accessing data stored in a data storage system, the data being associated with a plurality of identified at-risk accounts, identifying a plurality of common points of transaction, each of the plurality of common points of transaction being associated with a minimum number of the plurality of identified at-risk accounts, and identifying a point of compromise from the plurality of common points of transaction based on (i) the number of the identified at-risk accounts involved in transactions executed via each common point of transaction during a time period, and (ii) a total number of accounts involved in transactions executed via the common point of transaction during the time period.

Abstract: A method of identifying a point of compromise includes accessing data stored in a data storage system, the data being associated with a plurality of identified at-risk accounts, identifying a plurality of common points of transaction, each of the plurality of common points of transaction being associated with a minimum number of the plurality of identified at-risk accounts, and identifying a point of compromise from the plurality of common points of transaction based on (i) the number of the identified at-risk accounts involved in transactions executed via each common point of transaction during a time period, and (ii) a total number of accounts involved in transactions executed via the common point of transaction during the time period.