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(a) THE ADVERSARIAL PROCESS In civil disputes, it is generally up to the parties (the plaintiff and defendant), not the court, to initiate and prosecute litigation, to investigate the pertinent facts, and to present proof and legal argument to the adjudicative body The court s function, in general, is limited to adjudicating the issues that the parties submit to it, based on the proofs presented by them (b) STAGES IN A CIVIL SUIT There are three basic phases or stages in a civil suit, barring appeal These stages are the same for virtually all adversarial proceedings, whether in a federal, state, or administrative court (i) Pleadings A lawsuit is started by a complaint that is led with the clerk of the trial court and served on the defendants The complaint lays out the facts and causes of action alleged by the plaintiff The defendants may le a motion to dismiss (arguing that the defendant is not legally liable even if the alleged facts are true) or an answer to the complaint The answer may contain a denial of the allegations or an af rmative defense (eg, statute of limitations has expired) The defendant also may le a counterclaim which presents a claim by the defendant (counterplaintiff) against the plaintiff (counterdefendant) (ii) Pretrial Discovery The purpose of pretrial discovery is to narrow the issues that need to be decided at trial and to obtain evidence to support legal and actual arguments It is essentially an information-gathering process Evidence is obtained in advance to facilitate presentation of an organized, concise case as well as to prevent any surprises at trial This sharing of information often will result in the settlement of the case before trial The rst step in discovery typically involves the use of interrogatories and document requests Interrogatories are sets of formal written questions directed by one party in the lawsuit to the other They are usually broad in nature and are used to ll in and amplify the fact situation set out in the pleadings Interrogatories are also used to identify individuals who may possess unique knowledge or information about the issues in the case Requests for production of documents identify speci c documents and records that the requesting party believes are relevant to its case and that are in the possession of and controlled by the opposing party The opposing party is only required to produce the speci c documents requested Accordingly, when drafting these requests, care must be taken to be as broad as possible so as to include all relevant documents but narrow enough to be descriptive It is not unusual for more than one set of interrogatories and document requests to be issued during the course of a lawsuit The accountant is often involved in developing interrogatories and document requests on nancial and business issues Depositions are the second step in the discovery process They are the sworn testimony of a witness recorded by a court reporter During the deposition, the witness may be asked questions by the attorneys for each party to the suit The questions and answers are transcribed, sworn to, and signed The testimony will allow the party taking the deposition to better understand the facts of the case and may be used as evidence in the trial The accountant expert witness may be heavily involved at this stage, both in being deposed and in developing questions for the deposition of opposing witnesses.

Hence the average queue size for the women s loo 4 (the average queue size for the men s loo) The above derivation uses the estimate 1 2 m m 1 m m and thus shows that the relative difference actually increases much faster than a factor 4 when the utilization factor w w becomes closer to 1 Laplace transform of the waiting-time probabilities The generating-function method enabled us to prove the Pollaczek Khintchine formula for the average queue size Using Little s formula we next found the Pollaczek Khintchine formula for the average delay in queue of a customer The latter formula can also be directly obtained from the Laplace transform of the waiting-time distribution This Laplace transform is also of great importance in itself The waiting-time probabilities can be calculated by numerical inversion of the Laplace transform; see Appendix F A simple derivation can be given for the Laplace transform of the waiting-time distribution in the M/G/1 queue when service is in rder of arrival The derivation parallels the derivation of the generating function of the number of customers in the system Denote by Dn the delay in queue of the nth arriving customer and let the random variables Sn and n denote the service time of the nth customer and the time elapsed between the arrivals of the nth customer and the (n+1)th customer Since Dn+1 = 0 if Dn + Sn < n and Dn+1 = Dn + Sn n otherwise, we have Dn+1 = (Dn + Sn n )+ , n = 1, 2, , (2510) where x + is the usual notation for x = max(x, 0) From the recurrence formula (2510), we can derive that for all s with Re(s) 0 and n = 1, 2, ( s)E e sDn+1 = E e sDn b (s) sP {Dn+1 = 0},.

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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 nown as anomaly detection While anomaly detection is far from a new concept, it has 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.