Check Point SmartReporter delivers a user-friendly solution for monitoring and auditing traffic. You can generate detailed or summarized reports in the format of your choice (list, vertical bar, pie chart etc.) for all events logged by Check Point Security Gateway, SecureClient and IPS.
SmartReporter implements a Consolidation Policy, which goes over your original, "raw" log file. It compresses similar logs into events and writes the compressed list of events into a relational database (the SmartReporter Database).
SmartReporter implements a Consolidation Policy, which goes over your original, "raw" log file. It compresses similar logs into events and writes the compressed list of events into a relational database (the SmartReporter Database). This database enables quick and efficient generation of a wide range of reports. The SmartReporter solution provides a balance between keeping the smallest report database possible and retaining the most vital information with the most flexibility.
The Internet consists of loosely interconnected networks of computers located
around the world. Computers communicate with each other by exchanging packets
according to various protocols. Computers wishing to participate on the Internet
need to follow the protocols used by other members of the Internet. The lowest
level common protocol used on the Internet is named “Internet Protocol”, often
refered to as IP . The addressing mechanism used by IP is similar to phone
numbers. All entities that communicate on the Internet must have an IP address....
In view of risks described and the generally rather complex trends of the
relevant markets, a well-informed investor is a prerequisite for an investment in
real assets. For example, the selection and management of a real asset portfolio
necessitates extensive knowledge of the markets concerned and, in some
circumstances, operative capabilities. From the investor’s point of view, lack of
expertise is often a barrier to the choice of appropriate investments.
Inferences made about the correlation between individual traits and credit scores,
irrespective of place of residence
The macro-level analysis (# 1) based on ZIP Code characteristics can produce valid
inferences about “individuals that reside in poorer ZIP Codes,’ or “individuals that reside in
areas with large minority concentrations,” but not about minority individuals or poor
individuals per se; data limitations prevent any direct inferences about the relationship
between credit scores and individual characteristics such as race/ethnicity or so...
The estimated proportion uninsured was higher among the poor (22%) and near-poor (17%) compared
with non-poor residents (4%).
Poverty status is determined by household size at the time of the survey and household income in the
calendar year preceding the survey. A household of four people was considered “poor” (below the
federal poverty guideline) in the 2008 survey if total income in 2007 was below $21,000 (see Table 13,