1 00:00:01,450 --> 00:00:09,280 In this lecture I will continue explaining how to work with Ilsa using more options but clearly displaying 2 00:00:09,280 --> 00:00:14,240 the summary statistics using the GROUP BY clause or cured. 3 00:00:14,320 --> 00:00:22,480 So here in Asia we see the field summary about the results that we have gotten where we have for example 4 00:00:22,880 --> 00:00:30,320 1 program 1 class 9 source IP addresses 85 source sports and so on. 5 00:00:31,570 --> 00:00:38,140 And if we want to display the 9 source this is that our present in these records. 6 00:00:38,140 --> 00:00:47,850 I will click here and we see that a new tab appeared with 57 IP addresses with the number of records 7 00:00:48,180 --> 00:00:58,750 for each source IP and you might ask but we should have nine source IP addresses not fifty seven and 8 00:00:58,750 --> 00:01:08,710 the answer to this question is that the nine source I read this is out for the first 100 records while 9 00:01:08,710 --> 00:01:21,970 the fifty seven source IP addresses are for the whole 1000 plus records and to be sure of that I will 10 00:01:23,150 --> 00:01:36,230 go to the first tab and then insert the or change the limit for the number of the records to be fifteen 11 00:01:36,230 --> 00:01:36,670 hundred. 12 00:01:38,540 --> 00:01:48,160 And then I will hit on into and we see that a new tab appeared with the source. 13 00:01:48,170 --> 00:01:51,410 I have addresses to be fifty seven 14 00:01:54,260 --> 00:02:10,770 and also in the first tab we see that when we clicked on the source IP link that in the second tab 15 00:02:13,820 --> 00:02:22,640 the query field was related automatically with the group by keyword based on the source IP address. 16 00:02:23,460 --> 00:02:33,120 So this is another way for displaying the summary statistics by using the group by keyword in the query 17 00:02:33,360 --> 00:02:37,490 field also. 18 00:02:37,620 --> 00:02:42,370 There is a third way to displaying these. 19 00:02:42,480 --> 00:02:49,530 Somebody said 6 which is by using the report on a drop down menu. 20 00:02:49,560 --> 00:03:01,750 So here if I go to the first tab and then select report on and then put a connection and then source 21 00:03:01,780 --> 00:03:07,980 IP we see that the group by cured. 22 00:03:08,310 --> 00:03:15,270 Based on broken it open source IP was added to the query field and then I will hit head on enter and 23 00:03:15,270 --> 00:03:30,010 we see that a new tab pose appeared with the same results as the previous tab and also we have another 24 00:03:30,010 --> 00:03:40,330 or fourth way or final way for displaying the somebody's statistics which is by using the connections 25 00:03:40,420 --> 00:03:43,070 or janitors top link. 26 00:03:43,360 --> 00:03:57,830 And to do that I will close all the opened taps and then I will click on this link here. 27 00:03:58,220 --> 00:04:06,260 So the connections top originators link and I will click. 28 00:04:06,260 --> 00:04:15,520 Now how do we see that we do not have any results because when we do that the data just changes back 29 00:04:15,520 --> 00:04:18,520 to be the data for the last two days. 30 00:04:18,520 --> 00:04:26,380 So I have to click on this from and then select the date to be this date. 31 00:04:26,380 --> 00:04:38,680 And also I will again change the limit to be fifteen hundred and I will hit on interrogation and we 32 00:04:38,680 --> 00:04:48,400 see that we have the same results based on the source Heidi. 33 00:04:48,640 --> 00:04:58,120 So also we see that somebody you summarize that sticks displayed the number of records for HIV starting 34 00:04:58,120 --> 00:05:05,520 with the most active one or the I.V. that has the highest number of records. 35 00:05:05,520 --> 00:05:13,280 So the most active one and we can rearrange the order by clicking here on the account 36 00:05:16,210 --> 00:05:24,440 and also by arranging the IP addresses based on the number of records. 37 00:05:25,280 --> 00:05:33,740 So starting with the most active one we can focus our analysis on the traffic that is more suspicious 38 00:05:33,740 --> 00:05:40,150 in order to eliminate the false positives as much as we can. 39 00:05:41,690 --> 00:05:49,700 So in this lecture I have explained how to work with the group by clause or cured in Ilsa and in the 40 00:05:49,700 --> 00:05:56,450 next lecture I will explain how to filter the results more based on a specific value.