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: Various techniques for providing inline DGA detection with deep networks are disclosed. In some embodiments, a system, process, and/or computer program product for inline DGA detection with deep networks includes receiving a DNS data stream, in which the DNS data stream includes a DNS query and a DNS response for resolution of the DNS query; determining whether the DNS query is associated with a potentially malicious network domain based on the inline DGA detection model; and performing a mitigation action if it is determined that the DNS query is associated with a potentially malicious network domain based on the inline DGA detection model.

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: Various techniques for providing inline DGA detection with deep networks are disclosed. In some embodiments, a system, process, and/or computer program product for inline DGA detection with deep networks includes receiving a DNS data stream, in which the DNS data stream includes a DNS query and a DNS response for resolution of the DNS query; determining whether the DNS query is associated with a potentially malicious network domain based on the inline DGA detection model; and performing a mitigation action if it is determined that the DNS query is associated with a potentially malicious network domain based on the inline DGA detection model.

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.