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Traditionally, network security infrastructure consisted only of a firewall deployed at the perimeter This worked fairly well when there was limited interaction between internal and external networks, when the internal users were well trusted and when the value of the network-available assets was limited Over the past five years, however, things have changed considerably Network-aware applications and interactions between networks have greatly increased in number The level of trust in internal user populations has sharply declined as access has been extended to large audiences, often including partners and temporary personnel Attackers and their tools are much more sophisticated Most dramatically, network-available assets have taken on business-critical value Recently, many organisations have begun augmenting their security infrastructures to accommodate these changes Through virus detection systems, vulnerability assessment scanners, encryption and intrusion detection systems (IDSs), companies have made an effort to both detect and prevent threats to their network security All of these technologies have their own complexities and issues, but intrusion detection systems in particular have faced some very difficult challenges Often seen as one of the primary lines of defence against attackers, intrusion detection has quickly become a critical component of a good defence system Unfortunately, IDS implementations have struggled with a number of problems that have rendered them difficult to deploy, difficult to use and possible to evade In an attempt to address some of the shortcomings of existing approaches, several products and solutions now support a technique known as anomaly detection While anomaly detection is far from a new concept, it as only recently gained strong commercial support Not surprisingly, as an emerging technology, there has been considerable confusion over exactly what anomaly detection is and how it works This confusion has no doubt been exacerbated by the somewhat rapid commercial adoption of the technology This paper attempts to provide a brief review of some of the general concepts and technology, including an explanation of what anomaly detection is, how some of the various approaches differ and how anomaly detection compares to more traditional detection techniques.

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Abstract excerpt: "The experience of the Lawrence Berkeley Laboratory in tracking an intruder suggests that any operating system is insecure when obvious security rules are ignored How a site should respond to an intrusion, whether it is possible to trace an intruder trying to evade detection, what can be learned from tracking an intruder, what methods the intruder used, and the responsiveness of the law enforcement community are also discussed" Significance: Cliff Stoll may have been the first person to understand the importance of network-based security monitoring He documented his 1986 investigation in this paper and the 1989 book The Cuckoo's Egg The following extracts are eerily prescient It's both amazing and disappointing how little has changed since Stoll commented on the state of computer security while he was monitoring German intruders at Lawrence Berkeley Laboratory Highlights: This paper is only 17 pages long, and it is an absolute must-read I could only include a few quotes here, but wanted to share much more Stoll explains why a passive monitoring system, like a network-based full content collection system, is superior to host-based systems in some respects Host-based systems interfere with the systems they watch and they are visible to intruders: "Off-line monitors are invisible even to an intruder with system privileges Moreover, they gave printouts of the intruder's activities on our local area network (LAN), letting us see his attempts to enter other closely linked computers Besides taking up resources, on-line monitors would have warned the intruder that he was being tracked We used this type of off-line monitor and avoided tampering with our operating systems" The author used full content monitoring to perform threat assessment: "Throughout this time, the printouts showed his interests, techniques, successes, and failures We observed the intruder's familiarity with various operating systems and became familiar with his programming style Buried in this chatter were clues to the intruder's location and persona, but we needed to temper inferences based on traffic analysis Only a complete trace back would identify the culprit" In the years since Stoll wrote these words, nothing has changed: "While connected to MILNET, this intruder attempted to enter about 450 computers, trying to log in using common account names like root, guest, system, or field Taking advantage of well-publicized problems in several operating systems, he was often able to obtain root or system-manager privileges" Network-based monitoring caught activity that disabled host-based monitoring missed Notice how the intruder preferred to appear as though he belonged on his victim systems: "Whenever possible, he disabled accounting and audit trails, so there would be no trace of his presence He planted Trojan horses to passively capture passwords and occasionally created new accounts to guarantee his access into computers Apparently he thought detection less likely if he did not create new accounts, for e seemed to prefer stealing existing, unused accounts".

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