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With all of the advantages also come drawbacks. A host-based IDS still needs to report back to a central authority events going on within each of the hosts. A central console is needed to collect data from all the IDSs deployed and provide reports and alarms. Otherwise, operators would have to access each host individually and extract this information on a host-by-host basis. Backhauling all of the data from multiple hosts can be a challenge and in some cases would require a lot of bandwidth. For this reason, not every host should be covered. Certainly the critical hosts within the network should be protected. Host-based IDSs are also susceptible to attack, since they reside within the targets themselves. This can add to the challenge and, of course, if compromised will become worthless. A good example of this would be virus protection implemented on your computer being compromised so that it receives automatic updates from a hacker site rather than the software vendor s own site. This is a tactic used today by many hackers. Since they reside in the hosts themselves, host-based IDSs obviously do not have visibility to the rest of the network. For this reason they should not be used as the sole security implementation within a network. They should always be used in conjunction network-based IDSs. An application-based IDS is actually a subset of a host-based IDS. It resides on the host but monitors specific applications on the host rather than the whole host. The purpose of an application-based IDS is to provide visibility to a user s interaction with the application, detecting unauthorized use of an application. The application-based IDS should always be used in conjunction with network and host-based IDSs, to provide a layered approach to security, as well as a total view of what is truly going on within the network and its resources. When implemented in this fashion, the overall IDS strategy can provide enough visibility for an operator to detect in real-time events in the network before they cause significant disruptions and outages. An IDS performs analysis on collected data to determine if there is an attack underway, or abnormal events within the network. There are two types of methods that are used: signature analysis and anomaly analysis. Signature analysis relies on rules that are defined within the IDS (also referred to as policy). These signatures are established from previous attacks, so they are signatures of known attacks used as profiles for detecting the same attacks again. These are very accurate, since they are based on known attack signatures. They are good for networks where expertise may not be abundant or resources are limited, but they should not be the only analysis used. Signature analysis is based on known attacks and therefore is not well suited for finding new attacks that use a different signature. Anomaly analysis looks for abnormal behavior in the network. This is the best method for finding new attack signatures, but it does require additional expertise, since the analysis is usually a manual process today. Profiles are built based on a snapshot of captured traffic over a period of time. The longer the duration of time used to collect the traffic, the better the profile. One method
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may include setting thresholds in the network, and anytime these thresholds are exceeded, raising an alarm. Anything that deviates from the profile is then considered an anomaly. Statistics can also be used for establishing profiles. Statistics such as key performance indicators (KPIs) and key quality indicators (KQIs) are commonly used today in many monitoring systems for analyzing traffic data and determining if there are security breaches. Both methods should be used together for the most effective approach. A signature analysis implementation alone will not be effective in finding new attacks and will leave the network very vulnerable, since attack methods change regularly. A new approach is to deploy an IDS as a honeypot, where a host is set as a decoy in the network. The data within the host is of enough interest to draw hackers, but benign to the network operator (no harm can be done with the data). When the attacker accesses the host, information is gathered about the attacker and all aspects of the session. This information is then used in other IDSs within the network to establish a profile and signature to be used to detect other network breaches. Sometimes the attacker is even transferred to another part of the host where he or she is isolated from the network and its resources, limiting the harm the attacker can render on the network. In voice networks (especially wireless) there can be individual numbers within number ranges that are left unassigned (dark). These numbers are then closely monitored for activity. If there is an attempt to call one of these numbers, the call data is collected and analyzed, since it could be a hacker attempt to create a hit list within a network to be used as targets at a later time. An IDS should be deployed using the layered approach discussed in this section, using all forms of IDS rather than just a single approach. If only one approach is feasible, however, the network-based approach is the best direction to take, since this will give you the best visibility to network activity. Network probes should be deployed behind firewalls, as well as at network edges, on major backbones, and on critical subnets. This will give the best overall view of everything in the network. They can also be converted to include active capability at a later time (or at the time of implementation).
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