Time-based approaches in malware simulation for responsive measure deployment
View Patent ↗A computer-implemented method of simulating the propagation of malware in a network is provided. The method comprises accessing a model of the network, where the model comprising a plurality of computer nodes and where each computer node of the plurality of computer nodes is connected to at least one edge of a plurality of edges. Each edge of the plurality of edges connects a pair of computer nodes of the plurality of computer nodes. The method further comprises initiating an outbreak of the malware in the model at a predetermined source computer node of the plurality of computer nodes, and propagating the malware through the model of the network from the source computer node over a plurality of step-times. The propagation is determined based on a rate of transmission per step-time for each edge, and each step-time of the plurality of step-times corresponds to a temporal point that is universal across the network, such that at each step-time the malware propagation through the network occurs simultaneously for each edge of the plurality of edges according to the rate of transmission per step-time for each edge.
1 . A computer-implemented method of simulating the propagation of malware in a network, the method comprising:
accessing a model of the network, the model comprising a plurality of computer nodes, each computer node of the plurality of computer nodes being connected to at least one edge of a plurality of edges, wherein each edge of the plurality of edges connects a pair of computer nodes of the plurality of computer nodes;
initiating an outbreak of the malware in the model at a predetermined source computer node of the plurality of computer nodes; and
propagating the malware through the model of the network from the source computer node over a plurality of step-times, the propagation being determined based on a rate of transmission per step-time for each edge;
wherein each step-time of the plurality of step-times corresponds to a temporal point that is universal across the network, such that at each step-time the malware propagation through the network occurs simultaneously for each edge of the plurality of edges according to the rate of transmission per step-time for each edge.
2 . The method according to claim 1 , wherein the rate of transmission per step-time is based on a contact rate per step time, and wherein the contact rate per step time for each edge of the plurality of edges is calculated based on the amount of network traffic passing between corresponding computer nodes over the plurality of step-times.
3 . The method according to claim 2 , wherein the contact rate for each edge of the plurality of edges is adjusted over the plurality of step-times according to changes in the amount of network traffic passing between corresponding computer nodes between each step-time.
4 . The method according to claim 1 , wherein during the propagation of the malware, newly infected computer nodes of the plurality of computer nodes include an incubation period, the incubation period occurring over at least one step-time of the plurality of step-times.
5 . The method according to claim 4 , wherein during the incubation period, the detection rate per step-time for the corresponding infected computer node is zero.
6 . The method according to claim 4 , wherein during the incubation period, the detection rate per step-time for the corresponding infected computer node increases over the incubation period.
7 . The method according to claim 1 , wherein the rate of transmission for each edge additionally includes a weighting factor, the weighting factor being based on the estimated behaviour of users of the network over at least one step-time of the plurality of step-times.
8 . The method according to claim 7 , wherein the weighting factor is adjusted over the plurality of step-times according to changes in the estimated behaviour of users of the network over at least one step-time of the plurality of step-times.
9 . A computer implemented malware protection method to protect at least a subset of a set of computer systems from a malware, the method comprising:
simulating a propagation of the malware through the set of computer systems using a model of the set of computer systems, wherein the simulating comprises
accessing a model of the network, the model comprising a plurality of computer nodes, each computer node of the plurality of computer nodes being connected to at least one edge of a plurality of edges, wherein each edge of the plurality of edges connects a pair of computer modes of the plurality of computer nodes;
initiating an outbreak of the malware in the model at a predetermined source computer node of the plurality of computer nodes; and
propagating the malware through the model of the network from the source computer node over a plurality of step-times, the propagation being determined based on a rate of transmission per step-time for each edge;
wherein each step-time of the plurality of step-times corresponds to a temporal point that is universal across the network, such that at each step-time the malware propagation through the network occurs simultaneously for each edge of the plurality of edges according to the rate of transmission per step-time for each edge; and
identifying one or more malware protection measures to be deployed to one or more of the set of computer systems based on the simulating.
10 . The method of claim 9 , comprising:
deploying the one or more malware protection measures to the one or more computer systems.
11 . A system for simulating propagation of malware in a network comprising:
one or more processors;
a non-transitory memory; and
one or more programs, wherein the one or more programs are stored in the non-transitory memory and configured to be executed by the one or more processors so that the system for simulating the propagation of malware in the network is at least configured to:
access a model of the network, the model comprising a plurality of computer nodes, each computer node of the plurality of computer nodes being connected to at least one edge of a plurality of edges, wherein each edge of the plurality of edges connects a pair of computer nodes of the plurality of computer nodes;
initiate an outbreak of the malware in the model at a predetermined source computer node of the plurality of computer nodes; and
propagate the malware through the model of the network from the source computer node over a plurality of step-times, the propagation being determined based on a rate of transmission per step-time for each edge;
wherein each step-time of the plurality of step-times corresponds to a temporal point that is universal across the network, such that at each step-time the malware propagation through the network occurs simultaneously for each edge of the plurality of edges according to the rate of transmission per step-time for each edge.
12 . A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which, when executed by an electronic device with one or more processors, cause the electronic device to perform any of the methods of claim 1 .
13 . The system according to claim 11 , wherein the rate of transmission per step-time is based on a contact rate per step time, and wherein the system is further configured to calculate the contact rate per step time for each edge of the plurality of edges based on the amount of network traffic passing between corresponding computer nodes over the plurality of step-times.
14 . The system according to claim 13 , wherein the system is further configured to adjust the contact rate for each edge of the plurality of edges over the plurality of step-times according to changes in the amount of network traffic passing between corresponding computer nodes between each step-time.
15 . The system according to claim 11 , wherein during the propagation of the malware, newly infected computer nodes of the plurality of computer nodes include an incubation period, the incubation period occurring over at least one step-time of the plurality of step-times.
16 . The system according to claim 15 , wherein during the incubation period, the detection rate per step-time for the corresponding infected computer node is zero.
17 . The system according to claim 15 , wherein during the incubation period, the detection rate per step-time for the corresponding infected computer node increases over the incubation period.
18 . The system according to claim 11 , wherein the rate of transmission for each edge additionally includes a weighting factor, the weighting factor being based on the estimated behaviour of users of the network over at least one step-time of the plurality of step-times.
19 . The system according to claim 18 , wherein the system is further configured to adjust weighting factor over the plurality of step-times according to changes in the estimated behaviour of users of the network over at least one step-time of the plurality of step-times.