A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web
HoneySpam 2.0: Profiling Web Spambot Behaviour
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Key Parameters in Identifying Cost of Spam 2.0
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Web Spambot Detection Based on Web Navigation Behaviour
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Re: CAPTCHAs: understanding CAPTCHA-solving services in an economic context
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
The nuts and bolts of a forum spam automator
LEET'11 Proceedings of the 4th USENIX conference on Large-scale exploits and emergent threats
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
How much money do spammers make from your website?
Proceedings of the CUBE International Information Technology Conference
Improving network security and design using honeypots
Proceedings of the CUBE International Information Technology Conference
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This paper presents an empirical research that identifies cost of Spam 2.0. This experiment is a part of ongoing research for identifying the cost of Spam 2.0 and focuses only on storage cost. The data is collected via a honeypot setup using a discussion forum for a period of 13 months. Forum provides a good place for the spammers to continue their spamming activities. Spamming give both direct and indirect cost towards forum owner and forum users. In this paper, we present a method to measure direct cost focusing only on storage cost. The main observation of the experiment is done towards 450,772 posts, 141 personal messages and 62,798 profiles. It uses 2.69 GB storage space. We first define our cost formula. We then set up a web based discussion forum and collect the information posted on the forum. This data is pre-processed to discover information that can be used in our formula. In order to identify the storage used for spam, we define related attributes based on maximum storage and impact factor features named as spam unit, and measure the storage taken by all these spam units. We evaluate the cost of storage based on three sources which are our real self-hosted server, commercial web hosting package and cloud hosting package. The experiment resulted that the storage cost for our research forum are AUD 23.66 based on self-hosted server, AUD133.90 for commercial web hosting, and AUD11.53 for cloud hosting. The highest storage cost for 10,000 spam posts, profiles and personal messages is AUD2.963, AUD0.068 and AUD0.056.