TrustedSource is an Internet

reputation system Reputation systems are programs or algorithms that allow users to rate each other in online communities in order to build trust through reputation. Some common uses of these systems can be found on E-commerce websites such as eBay, Amazon.com, and ...

originally developed by CipherTrust and now owned by

Intel Security McAfee Corp. ( ), formerly known as McAfee Associates, Inc. from 1987 to 1997 and 2004 to 2014, Network Associates Inc. from 1997 to 2004, and Intel Security Group from 2014 to 2017, is an American global computer security software company head ...

. It provides reputation scores for Internet identities, such as IP addresses, URLs, domains, and email/web content. Reputation data and content categories, as well as global email, web and other network traffic patterns observed by TrustedSource ecosystem, for any IP address, domain, or URL can be checked from the TrustedSource.org portal site TrustedSource works by analyzing in real-time traffic patterns from email, web and network data flows from McAfee's global set of security appliances and hosted services, as well as those of partners like

F5 Networks F5, Inc. is an American technology company specializing in application security, multi-cloud management, online fraud prevention, application delivery networking (ADN), application availability & performance, network security, and access & autho ...

. Working off that data stream, it applies data mining and analysis techniques, such as

Support Vector Machine In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laboratorie ...

Random forest Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of th ...

, and Term-Frequency Inverse-Document Frequency ( TFIDF) classifiers to determine the degree of maliciousness and security risk associated with each Internet identity, as well as perform content categorization. The numeric scores that result from that analysis are then combined with local filtering policies of devices and services that utilize TrustedSource to make an accept/deny/traffic shape types of decisions on the network connections associated with those Internet identities. Internet reputation systems like TrustedSource are useful to effectively block network-based attacks sent over email, web and other protocols. They benefit from the global sensor network reporting attack patterns in real-time and the intensive behavioral analysis is distributed across a world-wide network of systems instead of unnecessarily utilizing processing power of local security devices. Those systems have also been effective at tracking and monitoring botnets, such as the infamous Storm worm.TrustedSource Storm Worm Tracker
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* {{DEFAULTSORT:Trustedsource Reputation management