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首页> 外文期刊>International Journal of Scientific & Technology Research >Multiple Server Based Sharing And Secured Data Management By Intrusion Detection System
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Multiple Server Based Sharing And Secured Data Management By Intrusion Detection System

机译:入侵检测系统基于多服务器的共享和安全数据管理

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摘要

The user information has gained the higher interest as to communication has increased between the end users. The data manipulation has been the key aspect in the real time data exchange. The data increases exponentially hence the use of the storage location such as cloud or remote database has been developed. The storing and retrieving of the data has been challenged by the security threats. In this paper, for data transmission the use of the Routing protocol like AODV with the IDS technology and Slepian Wolf coding methods have been used for the data encoding and decoding. The dynamic multipath routing has been enabled to re-route in case of the attack. The system works under multiple scenario for the user need. In the attacking scenario, on detection of the honeypot node, the network is re-routed and repaired which results in achieving an optimal efficiency by adopting the Network Intrusion Detection System (NIDS) in the Trusted Network. The proposed concept of trace, repair or re-route has been a novel approach for secured and assured data manipulation in the cloud database.
机译:由于最终用户之间的通信增加了,因此用户信息引起了人们的极大兴趣。数据处理已成为实时数据交换中的关键方面。数据呈指数增长,因此已经开发了对存储位置(如云或远程数据库)的使用。数据的存储和检索受到安全威胁的挑战。在本文中,对于数据传输,已使用具有IDS技术的AODV等路由协议和Slepian Wolf编码方法进行数据编码和解码。动态多路径路由已启用,可以在受到攻击时重新路由。该系统可在多种情况下满足用户需求。在攻击场景中,检测到蜜罐节点后,将对网络进行重新路由和修复,从而通过在可信网络中采用网络入侵检测系统(NIDS)来实现最佳效率。所提出的跟踪,修复或重新路由的概念已经成为一种用于在云数据库中进行安全有保证的数据处理的新颖方法。

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