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working, and what plans are already established to address or change these components This is much more technical, but it is still worthwhile to collect There are many different ways that reporting systems can be created Even for a data warehouse there are many components involved You need to understand what technology is being used to extract, prepare, publish, and use the data 9 provides more details about each of these components when they are part of a data warehouse For now, ask the following questions to help identify the technology and tools currently being used: What technologies or products are used Are these are the most current release of the product Is this component stable Does this component perform acceptably Is this component supportable Is this component sustainable for the future Are there any plans in place that will modify this technical environment Table 3-2 shows an example of how to track this technology inventory By documenting a summary of technical details, you can keep track of all the different moving parts of the system You may ask what technology each system uses for the technical components listed in Table 3-2 More information about what each of these different technologies and tools does is rovided in 9 In addition to the Technology Inventory Matrix, it is helpful to document the answers to the other questions One group may be using the most current release of a tool, which is meeting their needs Another group may use an earlier version of the same product but without the same level of satisfaction The Technology Inventory Matrix provides a handy cross-reference for nding the appropriate detail for a single tool You need to look at the details for each group that is using that tool. rdlc ean 128 Packages matching GS1-128 - NuGet Gallery
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I can testify to the following history of network security monitoring because I participated in these events or have spoken directly with the participants who made the events happen I base my understanding of the early days of NSM on information learned from Todd Heberlein and on my work with pioneers like Larry Shrader and Roberto Garcia NSM began as an informal discipline with Todd Heberlein's development of the Network Security Monitor The Network Security Monitor was the first intrusion detection system to use network traffic as its main source of data for generating alerts Heberlein and others worked at the University of California at Davis from 1988 through 1995 on the Network Security Monitor, although by 1991 initial Network Security Monitor system research and development was complete The Air Force Computer Emergency Response Team (AFCERT) was the first organization to informally follow NSM principles The AFCERT was created on October 1, 1992, partially as a result of the 1988 Morris Worm The team began work as part of the Air Force Cryptologic Support Center at Kelly Air Force Base in San Antonio, Texas When the Air Force Information Warfare Center (AFIWC) was activated on September 10, 1993, the AFCERT joined that unit The AFCERT's mission during the 1990s was to conduct Computer Network Defense (CND) operations to secure and protect the global Air Force communication and computer (C2) weapon system The Air Force had long recognized the need for intrusion detection systems, initially funding the Haystack host-based audit trail intrusion detection system In 1993 the AFCERT worked with Heberlein to deploy a version of the Network Security Monitor as an Automated Security Incident Measurement (ASIM) system The Air Force's intent was to measure the level of malicious activity on its networks as a way to perform threat assessment By gaining an accurate idea of the capabilities and intentions of its adversaries, the AFCERT could position itself to acquire the funding, personnel, and responsibilities needed to properly monitor Air Force networks In the mid-1990s the Air Force's network consisted of well over 100 Internet points-of-presence, but by the end of 1995 the AFCERT monitored only 26 installations By the end of 1996 coverage had doubled to 52 Air Force bases and three "joint" or multi-service locations By mid-1997 ASIM sensors watched all officially sanctioned Air Force Internet points-of-presence (Like any large organization, the AFCERT struggled to deal with local base commanders, or "management," who bypassed authorized Internet connections by installing their own Internet links) In 1998 the AFCERT added the Wheel Group's NetRanger sensors to its toolbox, using them at the equest of Central Command to monitor its forward locations in the Middle East The AFCERT implemented network security monitoring through products, people, and processes ASIM was the tool used to generate indications and warnings AFCERT analysts worked in real-time or batch cells, either reviewing near-real-time alerts or daily session records Both teams had access to full content or transcript data collected by ASIM for certain high-value services, such as Telnet, rlogin, FTP, HTTP, and other protocols Analysts escalated evidence of suspected intrusions to the Incident Response Team (IRT), which validated and investigated intrusions After the Melissa virus hit in March 1999, the AFCERT formed a dedicated virus team to specifically handle malware outbreaks In late 2000, Ball Aerospace & Technologies Corporation (BATC) asked Robert "Bamm" Visscher and myself to help transition intrusion detection techniques to the commercial sector Bamm and I had worked with Larry Shrader in the AFCERT, and we set about creating an NSM operation from scratch Working on a tight budget, and realizing available commercial IDS products didn't suit our needs, Bamm developed the Snort Personal Real-time Event GUI (SPREG) SPREG began its life as a Tcl/Tk program to watch attacks on Bamm's cable modem connection As I trained analysts to take on 24 by 7 monitoring duties, Bamm refined SPREG to meet our NSM needs SPREG relied on Snort for its alert and full content data John Curry, acting as a consultant, wrote code to collect session data All three elements were integrated, and by the spring of 2001 BATC offered the first true commercial NSM operation to nongovernment customers Our 12 analysts interpreted alert, session, and full content data to discover intruders. package] Java Libraries. 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