iosr-JCE   Volume-6 ~ Issue-3

Abstract:In a connection-oriented system, shared firewall protection provides the identical stage of protection against on its own firewall failures as dedicated firewall protection, with potentially superior network exploitation. This document lists the Constraints of firewall placement strategies and proposes a heuristic routing algorithm for communal security provisioning. Simulations be conducted to confirm the algorithm and to balance network utilization of shared firewall protection to that of devoted fortification.
Key words: Firewall, Network Security, intrusion, route discovery

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[2] S. Hinrichs and S. Chen, "Network Management Based on Policies," Proc. SPIE Multimedia Computing and Networking Conf.,
Jan. 2000.
[3] J. Wack, K. Cutler, and J. Pole, Guidelines on Firewalls and Firewall Policy. Nat'l Inst. of Standards and Technology, Jan. 2002 .
[4] Y. Bartal, A. Mayer, K. Nissim, and A. Wool, "Firmato: A Novel Firewall Management Toolkit," ACM Trans. Computer Systems,
vol. 22, no. 4, pp. 381-420, Nov. 2004.
[5] A. Wool, "A Quantitative Study of Firewall Configuration Errors," Computer, vol. 37, no. 6, pp. 62 -67, June 2004.
[6] H. Court, Knutsford, and Cheshire, "High-Availability: Technology Brief Firewall Load Balancing," High-Availability.Com,
http://www.High-Availability.Com, 2003.
[7] "Firewall Load Balancing," Nortel Networks, www.nortel.com, 2009.
[8] "Check Point Firewall-1 Guide," Check Point, www.checkpoint. com, 2009.
[9] T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, Introduction to Algorithms. MIT Press, 2003.
[10] M.G. Gouda and A.X. Liu, "Firewall Design: Consistency, Completeness and Compactness," Proc. Int'l Conf. Distributed
Computing Systems (ICDCS '04), pp. 320-327, Mar. 2004.

Abstract:The retail industry collects vast amounts of data on sales, customer buying history, goods, and service with ease of use of modern computing technology. This paper elaborates the use of data mining technique to help retailers to identify customer profile for a retail store and behaviors, improve better customer satisfaction and retention. The aim is to judge the accuracy of different data mining algorithms on various data sets. The performance analysis depends on many factors encompassing test mode, different nature of data sets, and size of data set.
Key words:data mining, performance, analysis, retail

[1] www.boirefillergroup.com/....KDD_CONFERENCE_PAPER_AUG2006.pdf
[2] www.dcc.fc.up.pt/~ricroc/aulas/0708/atdmlp/material/paper_dmbiz06.pdf
[3] www.ecmlpkdd2006.org/ws-pdmaec.pdf
[4] http://www.linkedin.com/in/federicocesconi
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[6] C. Ling and C. Li, (1998 ) "Data mining for direct marketing: Problem and solutions," in Proc, of the 4 th international Conference
on Knowledge Discovery & Data Mining, pp. 73-79
[7] John, F., Elder iv and Dean W.(1998) A comparison of leading data mining tools, fourth International conference on Knowledge
discovery and data mining pp.1-31
[8] Michel A., et all (1998), Evaluation of fourteen desktop data mining tools , pp 1-6
[9] Kleissner, C.(1998),, data mining for the enterprise, Proceeding of the 31st annual Hawaii International conference on system
science
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discovery 254.

Abstract:Here during this document A MAC layer stage overloading detection system has been foreseeable. The planned model aims to share out associate degree energy competent mechanism to calculate the degree of congestion at victim node with maximal accuracy. This block detection tool is incorporated with a sequence Crosslayered obstruction management Routing Topology. The projected model involves hard of congestion in 2 steps with effectual energy capable congestion detection and most favorable consumption of possessions. Packet loss in network routing is principally because of link failure and congestion. Most of the procurable congestion manages solutions don't have the flexibility to differentiate between packet loss owing to association collapse and packet loss unpaid to congestion. As a consequence these explanations aim towards exploiting against packet drop owing to link breaks down that could be a redundant endeavor and may turn out in defeat of resources. The opposite aspect within the majority of the simple to urge to resolve is that the consumption of power and resources to tell the apart jamming state, the amount of congestion and alert the premise node concerning congestion in routing path. Here during this document we tend to propose a cross lined model of congestion recognition and manage mechanism that contain power economical congestion discovery, Grouplevel Congestion Prediction (GCP) and Group-level Egress Permanence(GEP) algorithms that could work in sequence for congestion detection and manage model. This paper includes explorations and simulation results that demonstrate the increased store consumption, power potency in congestion discovery and congestion management is probable by the projected topology.
Keywords: quality of service, cross-layer protocols, multimedia communication, Low-power design, multicast routing

[1] C.S.R. Murthy and B.S. Manoj, Ad Hoc Wireless Networks: Architectures and Protocols. Prentice Hall, 2004.
[2] J. Janssen, D.D. Vleeschauwer, G.H. Petit, R. Windey, and J.M. Leroy, "Delay Bounds for Voice over IP Calls Transported over
Satellite Access Links," Mobile Networks and Applications, vol. 7, pp. 79 -89, 2002.
[3] B. Tavli and W. Heinzelman, Mobile Ad Hoc Networks: Energy- Efficient Real-Time Group Communications. Springer, 2006.
[4] C.W. Wu and Y.C. Tay, "AMRIS: A Multicast Protocol for Ad Hoc Wireless Networks," Proc. IEEE Military Comm. Conf., vol. 1,
pp. 25-29, 1999.
[5] S.J. Lee, W. Su, and M. Gerla, "On-Demand Multicast Routing Protocol in Multihop Wireless Mobile Networks," Mobile
Networks and Applications, vol. 7, pp. 441-453, 2002.
[6] V. Kawadia and P.R. Kumar, "A Cautionary Perspective on Cross- Layer Design," IEEE Wireless Comm., vol. 12, no. 1, pp. 3-11,
Feb. 2005.
[7] J.G. Jetcheva and D.B. Johnson, "Adaptive Demand-Driven Multicast Routing in Multi-Hop Wireless Ad Hoc Networks," Proc.
ACM Int‟l Symp. Mobile Ad Hoc Networking and Computing, pp. 33-44, 2001.
[8] Mohammad M. Qabajeh, Aisha Hashim, Othman Khalifa & Liana K. Qabajeh, 2010, "Geographical Multicast Quality of Service
Routing Protocol for Mobile Ad-Hoc Networks", Journal of Engineering Letters, Vol. 18, No. 3, pp. 212-225.
[9] W. Liang, "Approximate Minimum-Energy Multicasting in Wireless Ad Hoc Networks," IEEE Trans. Mobile Computing, vol. 5,
no. 4, pp. 377-387, Apr. 2006.
[10] B. Tavli and W. Heinzelman, "TRACE: Time Reservation Using Adaptive Control for Energy Efficiency," IEEE J. Selected Areas
Comm., vol. 21, no. 10, pp. 1506-1515, Dec. 2003.

Abstract:In Mobile Adhoc Network the design of security model is a very critical and essential topic, this is due to the rapidly changing nature of this type of networks. Many other factors should be in consideration while handling mobile adhoc networks like the lake of infrastructure, bandwidth, etc. a security scheme is proposed based on Public Key infrastructure for distributing session keys between nodes. The length of those keys is decided using fuzzy logic manipulation for the discrimination between some of the attacks applied over this kind of networks. The proposed algorithm of Security-model is an adaptive fuzzy logic based algorithm that can adapt itself with the dynamic conditions of mobile hosts. Experimental results show that the use of fuzzy based security can enhance the security of mobile adhoc networks.
Key words:MANET; Security; wireless; Communication; fuzzy; PKI; KNN

[1.] Balakrishnan, V. Varadharajan, U. K. Tupakula, and P.Lucs, "Trust Integrated Cooperation Architecture for Mobile Ad-hoc
Networks". Proceedings of 4th IEEE International Symposium on Wireless Communication Systems (ISWCS 2007), Trondheim,
Norway, 2007.
[2.] AW. Stallings; ―Cryptography and Network Security – Principles and Practice‖, 9th Edition; Prentice Hall 2010
[3.] Dr.A.Rajaram, S.Vaithiya lingam. ― Distributed Adaptive Clustering Algorithm for Improving Data Accessibility in MANET‖.
IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 1, July 2011
[4.] S. Balachandran, D. Dasgupta and L. Wang. ― Hybrid Approach for Misbehavior Detection in Wireless Ad -Hoc Networks‖.
Published in Symposium on Information Assurance, New York, June 14-15, 2006.
[5.] A.Rajaram, S.Palaniswami .‖ THE MODIFIED SECURITY SCHEME FOR DATA INTEGRITY IN MANET‖. International
Journal of Engineering Science and Technology. Vol. 2(7), 2010, 3111-3119
[6.] C Balakrishnan, V. Varadharajan, U. K. Tupakula, and P.Lucs, "Trust Integrated Cooperation Architecture for Mobile Ad-hoc
Networks". Proceedings of 4th IEEE International Symposium on Wireless Communication Systems (ISWCS 2007), Trondheim,
Norway, 2007.
[7.] A. Srinivasan, J. Teitelbaum, H. Liang, J. Wu, and M. Cardei, "Reputation and Trust-Based Systems for Ad-hoc and Sensor
Networks," Algorithms and Protocols for Wireless Ad-hoc and Sensor Networks, A. Boukerche (ed.), Wiley & Sons, 2011.
[8.] K.Seshadri Ramana et al.‖ Trust Based Security Routing in Mobile Adhoc Networks‖, (IJCSE) International Journal on Computer
Science and Engineering Vol. 02, No. 02, 2010, pp 259-263.
[9.] Yan L. Sun, Wei Yu, ‖Information Theoretic Framework of Trust Modeling and Evaluation for Ad Hoc Networks‖, 2006 IEEE,
pp305-317
[10.] Er. Banita Chadhaa, Er. Zatin Gupta,‖ Security Architecture for Mobile Adhoc Networks‖ (IJAEST) INTERNATIONAL
JOURNAL OF ADVANCED ENGINEERING SCIENCES AND TECHNOLOGIES Vol No. 9, 2011, pp 101 – 104