Abstract: Methods, systems, and computer readable media for increasing the rate of established network connections in a test simulation environment are disclosed. The method includes generating, by a network equipment test device in a test simulation environment, a random integer. The method further includes designating the generated random integer as a first twin prime value in the event the generated random integer is a prime number and designating, by the network equipment test device, a generated sum of the first twin prime value and a designated value as a second twin prime value in the event the generated sum is a prime number. The method also includes generating a custom key certificate pair that includes a public encryption key and a private decryption key using the first twin prime value and the second twin prime value and decrypting at least one message received from a device under test using the private decryption key.

Abstract: Methods, systems, and computer readable media for increasing the rate of established network connections in a test simulation environment are disclosed. The method includes generating, by a network equipment test device in a test simulation environment, a random integer. The method further includes designating the generated random integer as a first twin prime value in the event the generated random integer is a prime number and designating, by the network equipment test device, a generated sum of the first twin prime value and a designated value as a second twin prime value in the event the generated sum is a prime number. The method also includes generating a custom key certificate pair that includes a public encryption key and a private decryption key using the first twin prime value and the second twin prime value and decrypting at least one message received from a device under test using the private decryption key.

Abstract: Module identifying bits corresponding to the modules of a communication network are used to indicate whether a communication is a broadcast communication to all modules in the communication network, a multicast communication to more than one but not all modules in the communication network, or a point-to-point communication to a specific module in the communication network. In addition, a handshake session is also indicated.

Abstract: Intruders into a computer are detected by capturing historical data input into the computer by a user during a training mode, by profiling the historical data during the training mode to identify normal behavior, by capturing test data input by the user into the computer during an operational mode, by comparing the test data with the profiled historical data in accordance with a predetermined similarity metric during the operational mode to produce similarity results, and by evaluating the similarity results during the operational mode to identify abnormal data.

Abstract: Module identifying bits corresponding to the modules of a communication network are used to indicate whether a communication is a broadcast communication to all modules in the communication network, a multicast communication to more than one but not all modules in the communication network, or a point-to-point communication to a specific module in the communication network. In addition, a handshake session is also indicated.

Abstract: A node B of a communication network receives a partial certificate from each of a plurality of nodes Ai in the communication network, constructs an identity certificate based on the partial certificates received from the nodes Ai, and transmits only a relevant part of the identity certificate to any requesting node C in order to get its authenticity verified by the node c.

Abstract: Intruders into a computer are detected by capturing historical data input into the computer by a user during a training mode, by profiling the historical data during the training mode to identify normal behavior, by capturing test data input by the user into the computer during an operational mode, by comparing the test data with the profiled historical data in accordance with a predetermined similarity metric during the operational mode to produce similarity results, and by evaluating the similarity results during the operational mode to identify abnormal data.