Abstract: A system, apparatus, and method are directed to evolving detectors in an Artificial Immune System for use in detecting unauthorized computing activities. In one embodiment, a population of detectors is generated with a matching value and expectation value of zero. The detectors are then compared to logged fragments of system calls within a computing device to modify the matching value. When the matching value for a given detector is equal to or greater than an expectation value, the detector's expectation value may be set to the matching value. The detectors may then evolve and/or generate other detectors using mutation, and/or recombination, or the like. Detectors continue to generate and/or to evolve until a detector's matching value reaches a determined value, in which case, the detector may be evaluated to determine if an unauthorized activity is detected. If an unauthorized activity is detected, a detection response may be performed.

Abstract: A system, apparatus, and method are directed to evolving detectors in an Artificial Immune System for use in detecting unauthorized computing activities. In one embodiment, a population of detectors is generated with a matching value and expectation value of zero. The detectors are then compared to logged fragments of system calls within a computing device to modify the matching value. When the matching value for a given detector is equal to or greater than an expectation value, the detector's expectation value may be set to the matching value. The detectors may then evolve and/or generate other detectors using mutation, and/or recombination, or the like. Detectors continue to generate and/or to evolve until a detector's matching value reaches a determined value, in which case, the detector may be evaluated to determine if an unauthorized activity is detected. If an unauthorized activity is detected, a detection response may be performed.

Abstract: A system, apparatus, and method are directed to evolving detectors in an Artificial Immune System for use in detecting unauthorized computing activities. In one embodiment, a population of detectors is generated with a matching value and expectation value of zero. The detectors are then compared to logged fragments of system calls within a computing device to modify the matching value. When the matching value for a given detector is equal to or greater than an expectation value, the detector's expectation value may be set to the matching value. The detectors may then evolve and/or generate other detectors using mutation, and/or recombination, or the like. Detectors continue to generate and/or to evolve until a detector's matching value reaches a determined value, in which case, the detector may be evaluated to determine if an unauthorized activity is detected. If an unauthorized activity is detected, a detection response may be performed.

Abstract: A system, apparatus, and method are directed to evolving detectors in an Artificial Immune System for use in detecting unauthorized computing activities. In one embodiment, a population of detectors is generated with a matching value and expectation value of zero. The detectors are then compared to logged fragments of system calls within a computing device to modify the matching value. When the matching value for a given detector is equal to or greater than an expectation value, the detector's expectation value may be set to the matching value. The detectors may then evolve and/or generate other detectors using mutation, and/or recombination, or the like. Detectors continue to generate and/or to evolve until a detector's matching value reaches a determined value, in which case, the detector may be evaluated to determine if an unauthorized activity is detected. If an unauthorized activity is detected, a detection response may be performed.