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Research ArticleOpen accessCorrelation Based Approach with a Sliding Window Model to Detect and Mitigate Ddos AttacksD. Ayyamuthukumar, S. KarthikDDoS attacks have become very popular since the turn of this millennium and has stayed in the headlines due to ever increasing and sometimes devastating attacks on popular web servers. In this study, we deal with DDoS attacks by proposing a correlation based approach with a sliding window model to detect and mitigate DDoS attack. The proposed scheme identifies malicious … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,745 accessesView PDFCite
Research ArticleOpen accessFREQUENT CORRELATED PERIODIC PATTERN MINING FOR LARGE VOLUME SET USING TIME SERIES DATAG. M. Karthik, S. KarthikFrequent pattern mining has been a widely used in the area of discovering association and correlations among real data sets. However, discovering interesting correlation relationship among huge number of co-occurrence patterns are complicated, a majority of them are superfluous or uninformative. Mining correlations among large pile of useless information is extraordinarily useful in real-time applications. In this study, we propose … …Journal of Computer Science, Vol. 10, Issue 10 · 30 Jun 2014 · 6,608 accessesView PDFCite
Research ArticleOpen accessDevelopment of an Energy-Efficient, Secure and Reliable Wireless Sensor Networks Routing Protocol Based on Data Aggregation and User AuthenticationA. Gopi Saminathan, S. KarthikData aggregation protocols are required in Wireless Sensor Networks (WSNs) to improve the data accuracy and extend the network lifetime by reducing the energy consumption. The existing Data Aggregation-Optimal LEACH (DAO-LEACH) protocol for WSN is enhanced in terms of security and fault-tolerance based on Gracefully Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,855 accessesView PDFCite
Research ArticleOpen accessMining of Datasets with an Enhanced Apriori AlgorithmS. Nandagopal, V. P. Arunachalam, S. KarthikProblem statement: Classical association rules are mostly mining intra-transaction associations i.e., associations among items within the same transaction where the idea behind the transaction could be the items bought by the same customer on the same day. The goal of inter-transaction association rules is to represent the associations between various events found in different transactions. Approach: In this study, we … …Journal of Computer Science, Vol. 8, Issue 4 · 14 Feb 2012 · 6,956 accessesView PDFCite
Research ArticleOpen accessGeographical Division Traceback for Distributed Denial of ServiceA. Viswanathan, V. P. Arunachalam, S. KarthikProblem statement: Distributed Denial of Service (DDoS) was a serious threat to the internet world that denies the legitimate users from being access the internet by blocking the service. Approach: In this study, we proposed a novel approach, Geographical Division Traceback (GDT) for efficient IP traceback and DDoS defense methodology. DDoS attack was one of the most serious and threatening … …Journal of Computer Science, Vol. 8, Issue 2 · 23 Nov 2011 · 7,129 accessesView PDFCite
Research ArticleOpen accessMulti Directional Geographical Traceback with n Directions GeneralizationS. Karthik, V. P. Arunachalam, T. RavichandranProblem Statement: Denial of Service/Distributed Denial of Service (DoS/DDoS) attacks deny regular, internet services from being accessed by legitimate users, either by blocking the services completely, or by disturbing it completely, so as to cause customer baulking. Approach: Several traceback schemes were available to mitigate these attacks. Directional geographical traceback8 (DGT8), directional geographical trackback scheme, with 8 directions was one … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 7,010 accessesView PDFCite