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In Listing 6-2, I ve broken the ACL called PERMIT_OUT into two sections one for GroupA and one for GroupB Remember that ACLs are processed top-down, and the order of your statements does matter One other item to point out is that the source IP addresses listed in the ACL statements are the addresses before translation, because the appliance processes ACLs before any address translation policies Take a look at the GroupA statements first The very first entry in the ACL denies all IP traffic from 1921681128/26 if it is destined for 13110800/16 The second statement denies all traffic from 1921681128/26 if it is destined for TCP port 80 on any web server in network 2102102100/24 The third statement allows any other IP traffic from 1921681128/26 to go anywhere else on the Internet In the GroupB configuration (the second half of the ACL), the first permit statement (after the GroupA statements) allows any IP traffic from 1921681192/26 to 14014000/16 The second and third statements allow all traffic from 1921681192/26 to reach the two web servers: 2102102105 and 2112112113 The last statement in the ACL denies any other traffic from 1921681192/26 The last part of the configuration in Listing 6-2 shows the application of the ACL (PERMIT_OUT) to the inside interface as traffic comes into this interface

The McGraw Hill Companies, 2001

To help you understand how flexible ACLs are, I ll show a more complicated example: you have an appliance that has three interfaces, and you want to control traffic between these interfaces, as shown in Figure 6-2 Listing 6-3 shows just the address translation configuration on this appliance Listing 6-3 The basic configuration of the PIX with three interfaces

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Rules have an associated support, as well as an associated con dence These are de ned in the context of the population: Support is a measure of what fraction of the population satis es both the antecedent and the consequent of the rule For instance, suppose only 0001 percent of all purchases include milk and screwdrivers The support for the rule milk screwdrivers is low The rule may not even be statistically signi cant perhaps there was only a single purchase that included both milk and screwdrivers Businesses are usually not interested in rules that have low support, since they involve few customers, and are not worth bothering about On the other hand, if 50 percent of all purchases involve milk and bread, then support for rules involving bread and milk (and no other item) is relatively high, and such rules may be worth attention Exactly what minimum degree of support is considered desirable depends on the application Con dence is a measure of how often the consequent is true when the antecedent is true For instance, the rule bread milk has a con dence of 80 percent if 80 percent of the purchases that include bread also include milk A rule with a low con dence is not meaningful In business applications, rules usually have con dences signi cantly less than 100 percent, whereas in other domains, such as in physics, rules may have high con dences Note that the con dence of bread milk may be very different from the con dence of milk bread, although both have the same support Finding Association Rules To discover association rules of the form i1 , i2 , , in i0 we rst nd sets of items with suf cient support, called large itemsets In our example we nd sets of items that are included in a suf ciently large number of instances We will shortly see how to compute large itemsets For each large itemset, we then output all rules with suf cient con dence that involve all and only the elements of the set For each large itemset S, we output a rule S s s for every subset s S, provided S s s has suf cient con dence; the con dence of the rule is given by support of s divided by support of S We now consider how to generate all large itemsets If the number of possible sets of items is small, a single pass over the data suf ces to detect the level of support for all the sets A count, initialized to 0, is maintained for each set of items When a purchase record is fetched, the count is incremented for each set of items such that.

ciscoasa(config)# access-list NONAT deny ip 19216810 000255 19216850 000255 ciscoasa(config)# access-list NONAT permit ip 19216800 00255255 19216850 000255 ciscoasa(config)# nat (inside) 0 access-list NONAT ciscoasa(config)# nat (inside) 1 0000 0000 ciscoasa(config)# nat (dmz) 1 0000 0000 ciscoasa(config)# global (outside) 1 20020020010-200200200253 netmask 2552552550 ciscoasa(config)# static (dmz,outside) 2002002001 19216855 ciscoasa(config)# static (dmz,outside) 2002002002 19216856 ciscoasa(config)# static (inside,dmz) 19216850 19216850 netmask 2552552550

The McGraw Hill Companies, 2001

Perimeter Router Internet 19216812/24 E-mail Server Web Server 19216855 19216856 ASA Configuration E0/0 outside 0 E0/1 inside 100 E0/2 dmz 50

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