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This book demonstrates that the first method often results in failure Responding in an ad hoc manner, with ill-defined tools and a lack of formal techniques, is costly and unproductive The second method has a far better success rate Analysts using NSM tools and techniques interpret integrated sources of network data to identify indications and form warnings, escalating them as actionable intelligence to decision makers, who respond to incidents Although the remainder of this book will explain how to take these steps, let's briefly apply them to the scenario of abnormally heavy router traffic In a case where an unusual amount of traffic is seen, NSM analysts would first check their statistical ata sources to confirm the findings of the network administrators Depending on the tools used, the analysts might discover an unusual amount of traffic flowing over an unrecognized port to a server on a laboratory network The NSM analysts might next query for all alert data involving the lab server over the last 24 hours, in an effort to identify potentially hostile events Assuming no obviously malicious alerts were seen, the analysts would then query for all session data for the same period The session data could show numerous conversations between the lab server and a variety of machines across the Internet, with all of the sessions initiated outbound by the lab server Finally, by taking a sample of full content data, the analysts could recognize the footprint of a new file-sharing protocol on a previously unseen port These steps might seem self-evident at first, but the work needed to implement this level of analysis is not trivial Such preparation requires appreciation for the principles already mentioned, along with the selection and deployment of tools and techniques yielding high-fidelity data Far too often security personnel spend thousands of dollars on equipment that produces little valuable information in the face of uncertainty The purpose of this book is to help readers prepare for and conduct efficient network-based analysis Having the right data on hand means faster and more accurate incident response, thereby preserving the assets that security professionals are bound to protect Hopefully you accept that a prevention-oriented security strategy is doomed to fail If not, consider whether or not you agree with these four statements 1 Most existing systems have security flaws that render them susceptible to intrusions, penetrations, and other forms of abuse Finding and fixing all these deficiencies is not feasible for technical and economic reasons Existing systems with known flaws are not easily replaced by systems that are more secure mainly because the systems have attractive features that are missing in the more secure systems, or else they cannot be replaced for economic reasons Developing systems that are absolutely secure is extremely difficult, if not generally impossible Even the most secure systems are vulnerable to abuses by insiders who misuse their privileges.

In other words, the minimum of the two exponentially distributed lifetimes X1 and X2 is exponentially distributed with mean 1/( 1 + 2 ) and the probability that the lifetime X1 expires earlier than the lifetime X2 is 1 /( 1 + 2 ) Example B1 A rst-passage time problem An electronic system has two crucial components, 1 and 2, that operate independently of each other The lifetime of component i has an exponential distribution with mean 1/ i for i = 1, 2 If a component breaks down, it is replaced by a new one The ime needed to replace component i by a new one is exponentially distributed with mean 1/ i for i = 1, 2 The system continues to operate as long as one of the components is functioning, but it fails when none of the two components works Both components are in perfect condition at time 0 What is the expected time until the rst system failure Let us say that the system is in state 1 (2) if only component 1 (2) is functioning and it is in state 3 when both components are functioning In view of the memoryless property of the exponential distribution, we can de ne the random variable Ti as the time until the rst system failure when the current state of the system is state i We wish to compute E(T3 ) To do so, we derive a system of linear equations in E(Ti ) for i = 1, 2, 3 By conditioning on the next state and using the results in (B1), it follows that E(T1 ) = 1 2 + E(T3 ), 1 + 2 1 + 2 E(T3 ) = E(T2 ) = 1 1 + E(T3 ), 2 + 1 2 + 1.

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When measurements are taken over a period of time, they can form a baseline against which deviations are noted If port 53 UDP traffic typically uses 2% of an organization's bandwidth, an increase to 5% is probably significant (I use a loose definition of "significant" here, not one based in the statistical definition) Deviations from normalcy may or may not represent an intrusion Deviations are indicators, just as session data showing an outbound connection initiated by a Web server is an indicator In this chapter we will use statistical data to gain a better idea of what is happening on our networks, not to trigger any sort of alarm (just as we did not explore alarms in the chapters on full content or session data) When we use any of the three forms of NSM data to trigger an alarm, we enter the realm of alert data, the subject of s 9 and 10 The first set of tools (Cisco accounting through Tcpdstat) provides a snapshot of network activity as it occurs or shortly thereafter These applications are typically used in a reactive manner For example, an administrator who hears that "the network is slow" wants to check for "bandwidth ogs" at that very moment This sort of information can also be used to troubleshoot connectivity to sensors, confirm in-progress denial-of-service attacks, or monitor sessions in near real time These tools are predominantly oriented toward using command lines or terminals The second set of tools (ie, MRTG and Ntop) is used for long-term monitoring or for looking at saved capture files These are best used over periods of days, weeks, or months They can be used to spot trends and collect data for comparison with the current situation.

Mono Project. Denso QR Bar Code Maker In Visual C# . Generate Barcode In Visual C# Using Barcode generator for .The HelloWorld program listing from 1 is obviously C# code, and you compiled it for execution using the C# compiler However, the processor still cannot directly interpret compiled C# code An additional compilation step is required to convert the result of C# compilation into machine code Furthermore, the execution requires the involvement of an agent that adds additional services to the C# program, services that it was not necessary to code for explicitly All computer languages define syntax and semantics for programming Since languages such as C and C++ compile to machine code, the platform for these languages is the underlying operating system and machine instruction set, be it Microsoft Windows, Linux, UNIX, or others Languages such as C# are different; the underlying platform is the runtime (or VES) CIL is what the C# compiler produces after compiling It is termed a "common intermediate language" (CIL) because an additional step is required to transform the CIL nto something that processors can understand (Figure 181 shows the process) In other words, C# compilation requires two steps: 1 Conversion from C# to CIL by the C# compiler 2 Conversion from CIL to instructions that the processor can execute.Related: QR Code Creating .NET , .NET Code 39 Generator , Code 128 Generator .NET

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If the program logic guarantees that this assertion will always succeed, no buffer over ow is possible1 If there are a set of conditions under which the assertion might fail, the analyzer should report a potential buffer over ow This same assertion-based approach works equally well for de ning the requirements for avoiding SQL injection, cross-site scripting, and most of the other vulnerability categories we discuss in this book For the remainder of this section, we treat static analysis as an assertionchecking problem Choosing the set of assertions to make is the topic of Section 43, leaving this section to discuss how assertion checking can be performed Drawing a distinction between the mechanics of performing the check and the particulars of what should be checked is valuable for more than just explicative purposes; it is also a good way to build a static analysis tool By separating the checker from the set of things to be checked, the tool can quickly be adapted to nd new kinds of problems or prevented from reporting issues that are not problems From an engineering standpoint, designing a checker and deciding what to check are both major undertakings, and convoluting them would make for an implementation quagmire We typically see three varieties of assertions that arise from security properties: The most prevalent forms of security problems arise from programmers who trust input when they should not, so a tool needs to check assertions related to the evel of trust afforded to data as they move through. Encode DataMatrix In Visual Basic .NET Using Barcode drawer for VS .Related: VB.NET Code 39 Generating , Generate ISBN .NET , ITF-14 Generation Word