Analyze the Influential Aspects of Grid Congestion in Network Transmissions Using Efficient and Secure Anomaly Detection Approach

摘要

In Distributed Computing the security dangers are diminishing utilizing two system movement methodologies such as irregularity recognition and synergetic dynamic algorithm. Irregularity recognition is break down unique attributes of the system activity based on the synergetic neural systems and the fiasco hypothesis. In synergetic dynamic algorithm, gathering of the request parameters is utilized to portray the mind-boggling practices of the system movement framework in cloud correspondences. However, it provides the inconsistency. To overcome the deviation, Efficient and Secure Anomaly Detection Approach (ESDA) is proposed to perform secure and reliable data transmissions from the source to destinations in networks congestion environment. The list named as fiasco separate is characterized to detect and prevents the malicious activities. The estimation of this record can distinguish the system movement irregularity.