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This application is based on and derives the benefit of the filing date of U. Provisional Patent Application No. Go here entire content of this application is herein incorporated by reference in its entirety.

Devices operating the various applications and performing the various processes described herein may comprise one or more computers. Computers may be linked to one Jung et al 2004 directed the 3d via a network or networks. These components may be connected physically or through network or wireless links. Computers may also comprise software which may direct the operations of the aforementioned components. Computers may be referred to with terms that are commonly used by those of ordinary skill in the relevant arts, such as servers, PCs, mobile devices, and other terms.

It will be understood by those of ordinary skill that those terms used herein are interchangeable, and any computer capable of performing the described functions may be used. A network may be any plurality of completely or partially interconnected computers wherein some or all of the computers are able to communicate with one another. It will be understood by those of ordinary skill that connections between computers may be wired in some cases i. Connections between computers may use any Jung et al 2004 directed the 3d, including connection oriented protocols such as TCP or connectionless protocols such as UDP.

Any connection through which at least two computers may exchange data can be the basis of a network. The network may be, for example, an internal network such as a business network, home network, educational network, or the like. Each asset may be an individual endpoint. This infrastructure may enable network traffic to flow to and from external networks such as the Internet or a private network.

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One or more computer systems for identifying malicious network activity may also be included in the network The network of FIG. For example external networks may include a private network, infrastructure all represent varying combinations of network infrastructure and different topologies, and the network may be a service provider network, an MPLS WAN network, or a higher-ed EDU network.

This example process may be performed by the computer systems of FIG. Network traffic may be monitored Monitoring may include storing data for further analysis. The monitored data may be assessed Jung et al 2004 directed the 3d Based on the assessmentsuspicious traffic may be identified Many different techniques may be used to help determine traffic suspicion. For example, suspicion may be based on a low traffic destination reputation score.

One or more databases may contain known malicious or 3v domain reputations for the destination domain of a communication attempt. Also, reputations may be determined for unknown domains, for example by receiving passive DNS query information, utilizing the DNS query information to measure statistical features of known malicious and legitimate domain names, and utilizing the statistical features to determine a reputation of a new domain for example, likely malicious or likely legitimate. For more information on systems and methods for determining suspicion based on a low reputation score, see U. For example, NX domains NXs may be domains not registered with authoritative domain name servers.

Malware may use NXs to facilitate communication between network assets and external criminal networks. Detecting suspicious activity surrounding NXs may be done by collecting NX domain names from an asset, using these NX domain names to create testing vectors, classifying the testing vectors as benign vectors or malicious vectors based on training vectors, and classifying the asset ett infected if Jung et al 2004 directed the 3d NX testing vector created from the collected NX is classified as a malicious vector.]