Fortinet, Inc.

Symantec Corporation

Ernest Mugambi

Partha P Bhattacharya

Gun Sumlut

Zhipeng Zhao

Michael Pukish

Systems and methods for detecting malicious behavior in a network by analyzing process interaction ratios (PIRs) are provided. According to one embodiment, information regarding historical process activity is maintained. The historical process activity includes information regarding various processes hosted by computing devices of a private network. Information regarding process activity within the private network is received for a current observation period. For each process, for each testing time period of a number of testing time periods within the current observation period, a PIR is determined based on (i) a number of unique computing devices that hosted the process and (ii) a number of unique users that executed the process. A particular process is identified as potentially malicious when a measure of deviation of the PIR of the particular process from a historical PIR mean of the particular process exceeds a pre-defined or configurable threshold during a testing time period.

Detecting malicious behavior in a network using security analytics by analyzing process interaction ratios

Systems and methods for detecting malicious behavior in a network by analyzing process interaction ratios (PIRs) are provided. According to one embodiment, information regarding historical process activity is maintained. The historical process activity includes information regarding various processes hosted by computing devices of a private network. Information regarding process activity within the private network is received for a current observation period. For each process, for each testing time period of a number of testing time periods within the current observation period, a PIR is determined based on (i) a number of unique computing devices that host the process and (ii) a number of unique users that have executed the process. A particular process is identified as potentially malicious when a measure of deviation of the PIR of the particular process from a historical PIR mean of the particular process exceeds a pre-defined or configurable threshold during a testing time period.

Systems and methods for analyzing user behavior patterns to detect compromised computing devices in an enterprise network are provided. According to one embodiment, an enforcement engine running on a network security device, identifies top users of a network exhibiting a suspicious behavior relating to login failures by determining a first set of users having a number of login failure events during a given time duration exceeding a threshold. The enforcement engine identifies from the first set of computers associated with the top users, a second set of computers exhibiting a suspicious behavior relating to new connections exceeding a threshold. The enforcement engine classifies a third set of computers, representing a subset of the second set exhibiting a suspicious behavior relating to consecutive new connections, as compromised source computers when their respective new connections are in a sequence that results in a Shannon entropy measure exceeding a threshold.

Analyzing user behavior patterns to detect compromised nodes in an enterprise network

The disclosed computer-implemented method for detecting obscure cyclic application-layer message sequences in transport-layer message sequences may include (i) collecting a composite sequence of transport-layer messages that are exchanged between a first computing device and a second computing device over a single long-standing transport-layer connection, (ii) constructing a sequence graph from the composite sequence, (iii) traversing the sequence graph to discover a first obscure cyclic sequence of application-layer messages in the composite sequence, and (iv) performing a security action using a representation of the first obscure cyclic sequence. In some examples, the composite sequence may include the first obscure cyclic sequence and a second obscure cyclic sequence of application-layer messages that were exchanged by the first computing device and the second computing device, and each message in the composite sequence may include a distinguishing feature. Various other methods, systems, and computer-readable media are also disclosed.

Growing community of inventors

Dublin, CA, United States of America

Ernest Mugambi