Detecting Spam Zombies by Monitoring Outgoing Messages... Special thanks to Sreevani, for your eternal help

2. TABLE OF CONTENT
Abstract
Existing System
Disadvantages
 Proposed System
 Advantages
Modules
Screen shorts
Conclusion

3. ABSTRACT:
 Compromised machines are one of the key security threats on
the Internet; they are often used to launch various security
attacks such as spamming and spreading malware, and
identity theft.
 we focus on the detection of the compromised machines in a
network that are involved in the spamming activities,
commonly known as spam zombies.
 We develop an effective spam zombie detection system named
SPOT by monitoring outgoing messages of a network.
 SPOT is designed based on a powerful statistical tool called
Sequential Probability Ratio Test, which has bounded false
positive and false negative error rates.

4. HARDWARE REQUIREMENTS:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.
 Ram : 512 Mb.

5. SOFTWARE REQUIREMENTS:
 Operating system : Windows XP.
 Coding Language : JAVA
 DataBase : MYSQL

6. EXISTING SYSTEM:
 Major security challenge on the Internet is the
existence of the large number of compromised
machines.
 Such machines have been increasingly used to launch
various security attacks including spamming and
spreading malware, and identity theft.

7. DISADVANTAGES OF EXISTING
SYSTEM:
 They are often used to launch various security attacks
such as spamming and spreading malware, and
identity theft.
 A major security challenge on the Internet is the
existence of the large number of compromised
machines.

8. PROPOSED SYSTEM:
 In this paper, we focus on the detection of the
compromised machines in a network that are used for
sending spam messages, which are commonly referred to as
spam zombies.
 In proposed system to develop an effective spam zombie
detection system named SPOT.
 SPOT is used to monitoring outgoing messages of a
network.
 SPOT is designed based on a statistical method called
sequential probability ratio test (SPRT).

9. ADVANTAGES OF PROPOSED SYSEM:
 SPOT is an effective and efficient system in
automatically detecting compromised machines in a
network.
 For example, among the 440 internal IP addresses
observed in the e-mail trace, SPOT identifies 132 of
them as being associated with compromised
machines. Out of the 132 IP addresses identified by
SPOT, 126 can be either independently confirmed (110)
or are highly likely (16) to be compromised.

10. LIST OF MODULES:
 Account authentication
 Sending mails
 SPOT detection
 capture IP
 SPOT filter
 SPOT results
 CT detection.
 PT detection

11. Account authentication
 In this module to check the mail id and password.
 If these two fields are valid, the account is
authenticated.
 Otherwise is not valid.

12. Sending mails
 This module a single person to send one or more mails
to other person.
 This mails either spam or non spam.
 Spam means the more copies of the single message are
send.
 And it contains more than 20 lines.

13. SPOT detection
 In this module to capture the IP address of the system.
 That system mails are applied to filtering process.
 In this process, the mail content is filtered.
 Finally to produce the result of filter.

14. CT detection
 In this module to set the threshold value Cs .
 Cs denotes the fixed length of spam mail.
 Also to count the number of lines in each mail.
 If the each mail, counts are greater than equal to
threshold value.
 So, these mails are spam mail.

15. PT detection
 In this module to set two threshold values.
 1) Ca- specifies the minimum number of mail that
machine must send. 2) P- specifies the maximum
spam mail percentage of a normal machine.
 This algorithm is used to compute the count of total
mails and the count of spam mails of machine.
 To check this count of total mails are greater than
equal to Cs and the count of spam mails are greater
than equal to P.
 If it’s true these mails are spam mail.

16. Screen Shots :
1.open an account

17. 2. Account authentication :

19. 3. Sending mails

24. To send mail 20 times in different users.

25. 4. SPOT Detection

31. 5. CT Detection

34. 6. PT Detection

38. Conclusion:
• In this paper, we developed an effective spam zombie
detection system named SPOT by monitoring outgoing
messages in a network.
• SPOT was designed based on a simple and powerful
statistical tool named Sequential Probability Ratio Test
to detect the compromised machines that are involved
in the spamming activities.
• SPOT has bounded false positive and false negative
error rates.

39. REFERENCE:
 Zhenhai Duan, Senior Member, IEEE, Peng Chen,
Fernando Sanchez, Yingfei Dong, Member, IEEE, Mary
Stephenson, and James Michael Barker,” Detecting
Spam Zombies by Monitoring Outgoing Messages”,

40. Queries ?....

41. THANK YOU