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Detecting Spam Zombies by Monitoring Outgoing Messages and DoS View
Vaishnavi Katkar1 , Sagar Indore2 , Tushar Pokharkar3 , Kajal Inamdar4
1 Department of Computer Science and Engineering, PUNE University, Pune, INDIA.
2 Department of Computer Science and Engineering, PUNE University, Pune, INDIA.
3 Department of Computer Science and Engineering, PUNE University, Pune, INDIA.
4 Department of Computer Science and Engineering, PUNE University, Pune, INDIA.
Correspondence should be addressed to: vaishnavi.katkar66@gmail.com.
Section:Research Paper, Product Type: Journal
Vol.4 ,
Issue.1 , pp.5-11, Feb-2016
Online published on Feb 28, 2016
Copyright © Vaishnavi Katkar , Sagar Indore, Tushar Pokharkar, Kajal Inamdar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Vaishnavi Katkar , Sagar Indore, Tushar Pokharkar, Kajal Inamdar, “Detecting Spam Zombies by Monitoring Outgoing Messages and DoS View,” International Journal of Scientific Research in Network Security and Communication, Vol.4, Issue.1, pp.5-11, 2016.
MLA Style Citation: Vaishnavi Katkar , Sagar Indore, Tushar Pokharkar, Kajal Inamdar "Detecting Spam Zombies by Monitoring Outgoing Messages and DoS View." International Journal of Scientific Research in Network Security and Communication 4.1 (2016): 5-11.
APA Style Citation: Vaishnavi Katkar , Sagar Indore, Tushar Pokharkar, Kajal Inamdar, (2016). Detecting Spam Zombies by Monitoring Outgoing Messages and DoS View. International Journal of Scientific Research in Network Security and Communication, 4(1), 5-11.
BibTex Style Citation:
@article{Katkar_2016,
author = {Vaishnavi Katkar , Sagar Indore, Tushar Pokharkar, Kajal Inamdar},
title = {Detecting Spam Zombies by Monitoring Outgoing Messages and DoS View},
journal = {International Journal of Scientific Research in Network Security and Communication},
issue_date = {2 2016},
volume = {4},
Issue = {1},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {5-11},
url = {https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=230},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=230
TI - Detecting Spam Zombies by Monitoring Outgoing Messages and DoS View
T2 - International Journal of Scientific Research in Network Security and Communication
AU - Vaishnavi Katkar , Sagar Indore, Tushar Pokharkar, Kajal Inamdar
PY - 2016
DA - 2016/02/28
PB - IJCSE, Indore, INDIA
SP - 5-11
IS - 1
VL - 4
SN - 2347-2693
ER -
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Abstract :
Email Spam are major problem on internet. These Email Spam messages may contain code which is used to execute different malicious activities ranges from online searching of data, phishing, accessing lists, moving files, sharing channel information to DDoS attack against click fraud. 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, DDoS and identity theft. Finding machines which are used to send spam messages is very important to prevent these types of activities. These compromised machines in a network that are involved in the spamming activities, are known as spam zombies. In this paper we are going to present effective solution for detecting spam zombies by using SPOT algorithm. SPOT is designed based on a powerful statistical tool called Sequential Probability Ratio Test (SPRT), which has bounded false positive and false negative error rates. For comparison two more spam zombie detection algorithms are studied based on the number and the percentage of spam messages originated by the machine.
Key-Words / Index Term :
Compromised Machines, Spam Zombies, Spam Filter, SPOT Detection System
References :
[1] 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” IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 9, NO. 2, MARCH/APRIL 2012
[2] Sahar Bahramzadeh, Mehdi Hosseinzadeh “Detecting Spammers” Journal of Applied Environmental and Biological Sciences www.textroad.com J. Appl. Environ. Biol. Sci., 4(3)68-71, 2014 © 2014, textroad Publication
[3] Mrs. Chaitrali Chaudhari, Ms. Sonali G.Doiphode“SPAM ZOMBIE DETECTION USING SPOT” International Journal of Advanced Technology in Engineering and Science www.ijates.com Volume No.02, Issue No. 10, October 2014 ISSN (online): 2348 – 7550)
[4] Ansari.R, Dr. V.N Raja Varman “SPOT PROTOCOL DETECTING OUTGOING SPAM MESSAGES” IJCSMC, Vol. 2, Issue. 4, April 2013, pg.205 – 207
[5] Ar.Arunachalam V.Vevek V.Yogeswaran “Detecting Spam Zombies Using Spot Tool By Monitoring Outgoing Messages” IJARCSSE, Volume 3, Issue 4, April 2013, www.ijarcsse.com
[6] MRS. SARANYA.S, MRS. R.BHARATHI, “An Efficient Methodology for Detecting Spam Using Spot System” IJCSMC, Vol. 3, Issue. 1, January 2014, pg.106 – 110.
[7] A. Ramachandran and N. Feamster, “Understanding the Network- Level Behavior of Spammers,” Proc. ACM SIGCOMM, pp. 291-302, Sept. 2006.
[8] Z. Duan, Y. Dong, and K. Gopalan, “DMTP: Controlling Spam through Message Delivery Differentiation,” Computer Networks, vol. 51, pp. 2616-2630, July 2007.
[9] Leena Pal, Pradeep Sharma, Netram Kaurav and Shivlal Mewada, "Performance Analysis of Reactive and Proactive Routing Protocols for Mobile Ad-hoc –Networks", International Journal of Scientific Research in Network Security and Communication, Volume-01, Issue-05, pp. (1-4), Dec 2013.
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