886 results about "Traffic analysis" patented technology

Financial data including general ledger activity and underlying journal entries are examined to determine whether risks of material misstatement due to fraudulent financial reporting can be identified. The financial data is analyzed statistically and modeled over time, comparing actual data values with predicted data values to identify anomalies in the financial data. The anomalous financial data is then analyzed using clustering algorithms to identify common characteristics of the various transactions underlying the anomalies. The common characteristics are then compared with characteristics derived from data known to derive from fraudulent activity, and the common characteristics are reported, along with a weight or probability that the anomaly associated with the common characteristic is an identification of risks of material misstatement due to fraud. Large volumes of financial data are therefore efficiently processed to accurately identify risks of material misstatement due to fraud in connection with financial audits, or for actual detection of fraud in connection with forensic and investigative accounting activities. The analysis is enhanced by using flow analysis methods to select subsets of financial data to examine for anomalies. Flow analysis methods are also used to reveal useful business information found in money flow graphs of financial data.

A packet data analyzer on a mobile communication network for analyzing packet data traffic, monitoring services, generating billing information per data service, and monitoring the network based on a protocol analysis, comprises a packet data separator provided between one of a mobile communication exchange and a packet controller that provide a wireless data service to the subscriber, and the service server, for separating user packet data transmitted between one of the mobile communication exchange and the packet controller and the service server, and receiving the user packet data; a traffic analyzer for separating the user packet data received through the packet data separator according to transmission directions, and analyzing the user packet data; a statistics storage unit for storing and managing result data analyzed by the traffic analyzer; and a statistics reference unit for retrieving data stored in the statistics storage unit, and providing statistical information desired by the user.

Embodiments of the invention are directed to a detection system, method and apparatus that identifies and eradicates fraudulent requests on a network. Embodiments of the detection system comprise at least one router, a server, and an activity monitoring system. The activity monitoring system comprises a route arbiter and a traffic analyzer, wherein the route arbiter monitors the activity on the router. The route arbiter continuously monitors the router and firewall device to determine if abnormal activity or traffic patterns are emerging. If a determination is made that abnormal activity or abnormal traffic patterns exist, the activity monitoring system responds by blocking the activity or redirecting the traffic.

Methods and systems for detecting suspicious traffic patterns in electronic communications are provided. According to one embodiment, an electronic mail (email) message is received by a mail filter (milter), which evaluates a traffic pattern represented by the email message by scanning information associated with the email message and comparing it to information associated with one or more traffic analysis profiles. If the email message is identified by the milter as being inconsistent with normal email traffic patterns as represented by the one or more traffic analysis profiles, then the milter causes the email message to be handled in accordance with an email security policy associated with suspicious traffic patterns. For example, in the context of an outbound message, the originator may be alerted to a factor contributing to the identification and the originator may be provided with an opportunity to address the factor.

An Internet-based analysis tool follows, in real-time, the flow of traffic through a website. For every website page requested by a website visitor, the state of the visitor's browser is recorded and data relating to the path visitors take through the website is collected and studied. The state of the visitor's browser path is maintained in a traffic analysis cookie that is passed between a website file server and the visitor browser with every page requested for viewing. The cookie is maintained in a size that can be passed from server to browser and back again without negatively impacting server performance and without negatively impacting browser performance. The data in the cookie can follow the visitor browser through independent file servers, regardless of how the pages of a website might be distributed in storage.

Methods and apparatus for optimum matching of a traffic profile with an individual traffic flow using flow bifurcation and analysis. Bifurcation and duplication of packets that make up a flow received at an ingress element are forwarded to each of egress traffic and computation processor resources, such that egress traffic operations and traffic analysis operations may be performed concurrently without introducing jitter or delay in either bifurcated processing path. The traffic analysis includes maintaining flow statistics, flow stateful information and classifying the flow as a particular application traffic type. The optimum traffic profile for this application traffic type is then selected and applied to the individual flow. The traffic analysis data is forwarded to ingress and egress processing elements in real time, and ingress and egress traffic processing operations are dynamically adjusted in view of the traffic analysis data.