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always be possible for various reasons, including the signi cant costs associated with replacing existing systems with more attack resistant solutions, the diverse capabilities of different devices (eg CPU, data storage, bandwidth), the inability of devices to support attack resistant solutions (which is often more of a problem for wireless networks), the inef cient con guration (eg users do not change default security settings or apply patches), and so on For example, SCTP is rarely used today due to the cost of changing all of the existing systems using TCP In addition, processor intensive preventive mechanisms (such as some cryptographic operations) intended to protect the enterprise systems might also be used against the system For example, such technologies may be used for launching DoS attacks by overloading the available CPU resources The second way of protecting enterprises from such intrusions is to monitor events occurring in a computer system and detect attempts to either leverage the vulnerabilities of preventive mechanisms or misuse preventive mechanisms This is called intrusion detection and is the focus of this chapter Intrusion detection per se does not prevent users from obtaining unauthorized access to data or systems but rather focuses on monitoring the behavior of users Following detection, efforts might be made to stop such attempts from succeeding It might also be necessary to have the system recover from the effects of any attack Some aspects of recovery will be the focus of the next chapter There are several advantages to implementing intrusion detection systems (IDS) in a network An IDS acts as a deterrent for attackers It also can detect attacks that bypass other security measures It further provides information about the actual intrusions that can be used for responding to such attacks An IDS is also helpful in performing quality control of security design and administration In this chapter we will focus on IDS In Section 511 we focus on discussing the IDS concept and how it is applied today in a traditional enterprise environment We then focus on the challenges of adapting existing IDS techniques to MANET and discuss IDS approaches that are well suited to MANET.



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Under penalties of perjury, I certify that I am entitled to the number of withholding allowances claimed on this certificate, or I am entitled to claim exempt status

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(Form is not valid unless you sign it)

8 Employer s name and address (Employer: Complete lines 8 and 10 only if sending to the IRS)

As discussed earlier, intrusion detection systems were developed for detecting malicious behavior of users in an enterprise environment Malicious behavior includes users trying to obtain unauthorized access to systems or data, users trying to disrupt availability of services to legitimate users through launching DoS attacks, and so on In order to detect such behavior, intrusion detection systems typically contain two types of components:





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acknowledging that such concerns are also possible in the paper-and-pencil testing environment, it may be argued that information privacy is of even greater concern in the Internet environment, owing to the potential for others to very easily obtain large amounts of data and ef ciently combine these data with other data to lead to more insidious invasions of privacy Although not designed with the Internet in mind, Smith, Milberg, and Burke (1996) developed a broad empirical measure to assess informational privacy concerns Based on a review of the literature, they measured ve major dimensions 1 Collection of data: concern that there is too much data available in databases 2 Unauthorized, secondary (internal) use: concern that information collected by the organization for one purpose will be used by the same organization for a different, unauthorized, purpose 3 Unauthorized, secondary (external) use: concern that information collected by the organization will be given to another party for another purpose (this dimension was subsequently combined with the above dimension) 4 Improper access: concern that data are readily available to parties not authorized to use them 5 Errors: concern that protection against both deliberate and accidental errors in the data is not adequate In addition, they offered two tangential dimensions, which were subsequently dropped 1 Combining data, which they described as concern that information from different databases might be combined to form larger, more invasive, databases 2 Reduced judgment: concern that important decisions are increasingly made in an impersonal, ineffective way In terms of results, it is noteworthy that while Smith et al (1996) found differences from sample to sample, the dimensions that were generally of greatest concern (ie had the highest means) were improper access and unauthorized secondary use Turning now to the model of organizational privacy of Stone and Stone (1990), it should be observed that while their framework was intended to cover a wide range of organizational privacy issues it predates the Internet They included a relatively large number of variables that affect perceptions of the degree to which there is concern with organizational privacy, including information factors (eg procedures used), the physical environment (eg degree of crowding), and a host of social, cultural, organizational (eg privacy norms), and individual factors (eg personality) I will focus here on their information factors, which appear to have the greatest applicability to Internet-based testing.

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Form W-4 (2003)

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(Continued)

Data collection components consist of entities that are responsible for monitoring and collecting data about user and application activities The collected data is then used by the second type of components, called the analysis components Data analysis components are responsible for analyzing the data collected and detecting any malicious activity We now discuss each type of component in more detail 5111 Data Collection Components The rst step in intrusion detection is to collect data from the system being monitored Two main approaches for data collection have traditionally been used in large enterprises These approaches also result in two

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