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Karthik, S.
- Identification of P2P Traffic across the Networks:A Survey
Authors
1 SNS College of Technology in Department of Computer Science and Engineering, Coimbatore, IN
2 SNS College of Technology in Department of Information Technology, Coimbatore, IN
3 Coimbatore Institute of Engineering and Technology, Coimbatore, IN
Source
Networking and Communication Engineering, Vol 3, No 1 (2011), Pagination: 48-52Abstract
Problem statement: In the last years, we have seen that the use of P2P applications has increased significantly and currently they represent a significant portion of the Internet traffic. In consequence of this growth, P2P traffic characterization and identification are becoming increasingly important for network administrators and designers. Also increasing amount of P2P services not only consuming a lot of bandwidth but also influencing the performance of other business. Another difficulty in identification of traffic in P2P is that P2P applications have the ability to disguise their existence through the use of arbitrary ports and explicitly try to camouflage the original traffic in an attempt to go undetected. In this paper we have analyzed different type of identification methods and compared the efficiency in each method. Approaches: 1. P2P traffic identification using Cluster analysis which seek five traffic discriminators and applies cluster analysis to identify P2P traffic. 2. P2P traffic identification based on double layer characteristics which identify traffic based on flow characteristics and payload characteristics. 3. Transport layer heuristic identification in which P2P traffic flows are identified by analyzing the statistical properties of the flows and their behavior characteristics. 4. Payload-based IP traffic identification packet payloads are analyzed to determine whether they contain specific signatures of known applications. Results: After analyzing each model we find out that there are both advantages and limitation in it. We have simulated those models and compared with each other. Conclusion and Future work: With the widely adoption of the P2P, the method for the control and the management to the P2P applications has become a research hotspot. In this paper we analyse different methods to identify the traffic in P2P application. In future we try to build a new algorithm which combines the best capabilities of the analyzed approaches.Keywords
Cluster Analysis, Flow Characteristics, Payload Characteristics, Traffic Identification.
- An Investigation of 2 n Direction Geographical Traceback Using Simulation of IP Traceback Strategies
Authors
1 Department of Computer Science Engineering SNS College of Technology, Sathy Main Road, Coimbatore-641035, Tamil Nadu, IN
2 SNS College of Technology, Sathy Main Road, Coimbatore-641035, IN
3 Hindustan Institute of Technology, Pollachi Main Road, Coimbatore-641032, IN
Source
Networking and Communication Engineering, Vol 1, No 3 (2009), Pagination: 110-114Abstract
DoS / DDoS(Distributed Denial of Service) attacks deny regular, internet services accessed by legitimate users, either by blocking the services completely, or by disturbing it completely, so as to cause customer baulking. Several traceback schemes are available to mitigate these attacks. The simulation approach also can be used to test the performing effects of different marking schemes in large-scale DDoS attacks. Based on the simulation and evaluation results, more efficient and effective algorithms, techniques and procedures to combat these attacks may be developed. DGT8, directional geographical trackback scheme, with 8 directions is one of them. Having a limited set of 8 directions, DGT8 may not work for routers with more than 8 interfaces. In this paper, we propose M-DGT i.e DGT 16, a 16 directional geographical traceback scheme having all the advantages of DGT. The 16 directions, though not having exactly equal interface, have nearly equal measures, and are identified using a novel scheme of Segment Direction Ratios (SDR). The SDR concept and the associated marking scheme allow the victim to defend against DDoS attacks independent of its ISP and also the generalization to DGT2n, having 2n directions (n>4).