A method of improving performance on a mobile device, comprising: observing mobile device behaviors and generating a behavior signature based on observed mobile device behaviors; determining whether the generated behavior signature matches a behavior signature stored in a cache memory of the mobile device; taking a corrective action in response to determining that the generated behavior signature matches a behavior signature stored in the cache memory of the mobile device; and populating the cache memory by: observing mobile device behaviors over a period of time to recognize mobile device behaviors that are inconsistent with normal operation patterns; determining whether a behavior signature corresponding to the observed behaviors is stored in the cache memory; identifying a limited set of behaviors associated with inconsistent operations when it is determined that a behavior signature corresponding to the observed behaviors is not stored in the cache memory; receiving behavior inputs from one or more of a high-level application, a system kernel, and a driver regarding the limited set of behaviors; receiving a context input regarding the limited set of behaviors of the mobile device; performing temporal and spatial correlations of received behavior inputs and the received context input; generating a behavior vector based on a result of the spatial and temporal correlations; generating the behavior signature based on the behavior vector; and storing the generated behavior signature in the cache memory. observing mobile device behaviors and generating a behavior signature based on observed mobile device behaviors; determining whether the generated behavior signature matches a behavior signature stored in a cache memory of the mobile device; taking a corrective action in response to determining that the generated behavior signature matches a behavior signature stored in the cache memory of the mobile device; and populating the cache memory by: observing mobile device behaviors over a period of time to recognize mobile device behaviors that are inconsistent with normal operation patterns; determining whether a behavior signature corresponding to the observed behaviors is stored in the cache memory; identifying a limited set of behaviors associated with inconsistent operations when it is determined that a behavior signature corresponding to the observed behaviors is not stored in the cache memory; receiving behavior inputs from one or more of a high-level application, a system kernel, and a driver regarding the limited set of behaviors; receiving a context input regarding the limited set of behaviors of the mobile device; performing temporal and spatial correlations of received behavior inputs and the received context input; generating a behavior vector based on a result of the spatial and temporal correlations; generating the behavior signature based on the behavior vector; and storing the generated behavior signature in the cache memory. observing mobile device behaviors over a period of time to recognize mobile device behaviors that are inconsistent with normal operation patterns; determining whether a behavior signature corresponding to the observed behaviors is stored in the cache memory; identifying a limited set of behaviors associated with inconsistent operations when it is determined that a behavior signature corresponding to the observed behaviors is not stored in the cache memory; receiving behavior inputs from one or more of a high-level application, a system kernel, and a driver regarding the limited set of behaviors; receiving a context input regarding the limited set of behaviors of the mobile device; performing temporal and spatial correlations of received behavior inputs and the received context input; generating a behavior vector based on a result of the spatial and temporal correlations; generating the behavior signature based on the behavior vector; and storing the generated behavior signature in the cache memory.