Abstract: Techniques for an exponential moving maximum (EMM) filter for predictive analytics in network reporting are disclosed. In some embodiments, a process for predictive analytics in network reporting using an EMM filter includes pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data.

Abstract: Flux domain is generally an active threat vector, and flux domain behaviors are continually changing in an attempt to evade existing detection measures. Accordingly, new and improved techniques are disclosed for flux domain detection. In some embodiments, an online platform implementing an analytics framework for DNS security is provided for facilitating flux domain detection. For example, the online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis, disclosed herein with respect to various embodiments.

Abstract: New and improved techniques for a behavior analysis based DNS tunneling detection and classification framework for network security are disclosed. In some embodiments, a platform implementing an analytics framework for DNS security is provided for facilitating DNS tunneling detection. For example, an online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis.

Abstract: Techniques for an exponential moving maximum (EMM) filter for predictive analytics in network reporting are disclosed. In some embodiments, a process for predictive analytics in network reporting using an EMM filter includes pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data.

Abstract: Techniques for an exponential moving maximum (EMM) filter for predictive analytics in network reporting are disclosed. In some embodiments, a process for predictive analytics in network reporting using an EMM filter includes pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data.

Abstract: New and improved techniques for a behavior analysis based DNS tunneling detection and classification framework for network security are disclosed. In some embodiments, a platform implementing an analytics framework for DNS security is provided for facilitating DNS tunneling detection. For example, an online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis.

Abstract: Flux domain is generally an active threat vector, and flux domain behaviors are continually changing in an attempt to evade existing detection measures. Accordingly, new and improved techniques are disclosed for flux domain detection. In some embodiments, an online platform implementing an analytics framework for DNS security is provided for facilitating flux domain detection. For example, the online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis, disclosed herein with respect to various embodiments.

Abstract: New and improved techniques for a behavior analysis based DNS tunneling detection and classification framework for network security are disclosed. In some embodiments, a platform implementing an analytics framework for DNS security is provided for facilitating DNS tunneling detection. For example, an online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis.

Abstract: Flux domain is generally an active threat vector, and flux domain behaviors are continually changing in an attempt to evade existing detection measures. Accordingly, new and improved techniques are disclosed for flux domain detection. In some embodiments, an online platform implementing an analytics framework for DNS security is provided for facilitating flux domain detection. For example, the online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis, disclosed herein with respect to various embodiments.

Abstract: Techniques for an exponential moving maximum (EMM) filter for predictive analytics in network reporting are disclosed. In some embodiments, a process for predictive analytics in network reporting using an EMM filter includes pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data.

Abstract: Techniques for an exponential moving maximum (EMM) filter for predictive analytics in network reporting are disclosed. In some embodiments, a process for predictive analytics in network reporting using an EMM filter includes pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data.

Abstract: Flux domain is generally an active threat vector, and flux domain behaviors are continually changing in an attempt to evade existing detection measures. Accordingly, new and improved techniques are disclosed for flux domain detection. In some embodiments, an online platform implementing an analytics framework for DNS security is provided for facilitating flux domain detection. For example, the online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis, disclosed herein with respect to various embodiments.

Abstract: New and improved techniques for a behavior analysis based DNS tunneling detection and classification framework for network security are disclosed. In some embodiments, a platform implementing an analytics framework for DNS security is provided for facilitating DNS tunneling detection. For example, an online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis.

Abstract: Flux domain is generally an active threat vector, and flux domain behaviors are continually changing in an attempt to evade existing detection measures. Accordingly, new and improved techniques are disclosed for flux domain detection. In some embodiments, an online platform implementing an analytics framework for DNS security is provided for facilitating flux domain detection. For example, the online platform can implement an analytics framework for DNS security based on passive DNS traffic analysis, disclosed herein with respect to various embodiments.

Abstract: Techniques for an exponential moving maximum (EMM) filter for predictive analytics in network reporting are disclosed. In some embodiments, a process for predictive analytics in network reporting using an EMM filter includes pre-processing network-related data by performing exponential moving maximum (EMM) filtering on the network-related data; and determining predictive analytics based on the EMM filtered network-related data.

Abstract: Techniques for a hardware accelerator for a domain name server (DNS) cache are disclosed. In some embodiments, a hardware accelerator for a DNS cache includes: executing a packet processing engine of a host device to identify a DNS request; and performing a DNS lookup in the DNS cache. In some embodiments, a hardware accelerator for a DNS cache includes: determining if a time to live (TTL) parameter associated with a first entry stored in the DNS cache is below a threshold value; and if the TTL parameter associated with the first entry stored in the DNS cache is below the threshold value, then performing a pre-fetch operation to update the first entry in the DNS cache, wherein the updated entry comprises an updated TTL value.

Abstract: A method and system for detecting performance degradation of a plurality of monitored components in a networked storage system. Performance data is collected from the plurality of monitored components. Component statistics are generated from the collected performance data. Heuristics are applied to the generated component statistics to determine the likelihood of failure or degradation of each of the plurality of monitored components.

Abstract: A method and system for interprocess communication (IPC) (300), which includes converting a message from the source computer process (310) into an extensible markup language (XML) document, and encoding the XML document into a simple object access protocol (SOAP) message. The SOAP message is transmitted to the destination computer process (312) via an interprocess communication (IPC) interface (326); The SOAP message is decoded to extract the XML document, and the XML document is translated to a language usable by the destination computer process. The system of IPC includes source (310) and destination (312) processes that have both XML layers (318 and 320) and SOAP layers (314 and 316) to effectuate transfer of messages in a way that is not application- or platform-specific. The computer processes may run on at least one redundant array of independent disks (RAID) controller (130).