Crypto Mark Scheme for Fast Pollution Detection and Resistance over Networking

نویسنده

  • G. S. Pugalendhi
چکیده

1 Assistant Professor, Department of Computer science and Engineering, V.S.B Engineering College, Karur, Tamilnadu India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract : Data security and data protection against pollution attacks with resource efficiency are the major challenging tasks of networks. Packet dropping and modifications are also common attacks that can be launched by an adversary to disrupt communication in networks. Many schemes have been proposed to mitigate, prevent those attacks. But very few can efficiently identify the pollution attackers with the delay and cost considerations. Even those schemes could find after the attacks done. Those type of schemes used packet HOP_VOTE techniques to investigate and verify the security issue .To address these issues, the proposed system introduces a simple and powerful scheme. The scheme which is a rapid identifier of polluters and this helps to identify misbehaved data and routes that dropped or modified packets. And this proposed system also considers the other type of security issues such as pollution attacks, packet content modification and packet dropping attacks. In order to identify and prevent the data from unauthorized forwarders, the system proposed a new scheme which is named as HOPVOTE The proposed system utilizes the HOPVOTE which is an efficient packet HOPVOTE technique to protect, prevent and avoid routing misbehaving attacks. In order to identify and block the nodes which tries to drop or modify the data, the proposed system has been implemented the Keybit verification algorithm. The proposed system also recovers the data which are polluted and retransmits using cache based recovery concept. The procedure behind the proposed system is to identify the key and its value of every packet with secured data transmission.

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تاریخ انتشار 2016