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Keerthana, B.
- Detection and Localization of Multiple Spoofing Attackers and Revoking them in Wireless Networks
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Authors
Affiliations
1 Department of Computer Science & Engineering, K. S. Rangasamy College of Technology, Tamilnadu, IN
1 Department of Computer Science & Engineering, K. S. Rangasamy College of Technology, Tamilnadu, IN
Source
Wireless Communication, Vol 6, No 1 (2014), Pagination: 1-6Abstract
Wireless spoofing attacks are easy to launch and can significantly impact the performance of networks. Although the identity of a node can be verified through cryptographic authentication, conventional security approaches are not always desirable because of their overhead requirements. The project is proposed to use spatial information, a physical property associated with each node, hard to falsify, and not reliant on cryptography, as the basis for 1) detecting spoofing attacks; 2) determining the number of attackers when multiple adversaries masquerading as the same node identity; and 3) localizing multiple adversaries. It is proposed to use the spatial correlation of received signal strength (RSS) inherited from wireless nodes to detect the spoofing attacks. It formulates the problem of determining the number of attackers as a multi-class detection problem. Cluster-based mechanisms are developed to determine the number of attackers. When the training data are available, the project explores using the Support Vector Machines (SVM) method to further improve the accuracy of determining the number of attackers. The localization results use a representative set of algorithms that provide strong evidence of high accuracy of localizing multiple adversaries. In addition, a fast and effective mobile replica node detection scheme is proposed using the Sequential Probability Ratio Test. evaluated our techniques through two testbedsusing both an 802.11 (WiFi) network and an 802.15.4 (ZigBee) network in two real officebuildings.Keywords
Wireless Network Security, Spoofing Attack, Attack Detection, Localization.
- Analysis of Surface Roughness, Material Removal Rate and Temperature in Milling of En 31 for Die Making under Minimum Quantity Lubirication Condition
Abstract Views :266 |
PDF Views:2
Authors
Affiliations
1 S V University, Tirupati, IN
1 S V University, Tirupati, IN
Source
Manufacturing Technology Today, Vol 16, No 2 (2017), Pagination: 11-17Abstract
Conventional milling process remains its importance as it is flexible in cutting dovetails, keyways and slots etc., although Non-traditional machining process are playing major role in machining industry. In other hand Minimum Quantity Lubrication (MQL) refers a little (50-5600ml/hr) lubricant dispensing system which is the substitute for the flood type lubricating system which dispenses 20 L/h of lubricant. In this work, milling experiments are conducted on En-31 material for making die using solid carbide tool and HSS tools under MQL condition. The effect of process parameters such as speed (S), depth of cut (DOC), coolant type (CT), tool material (TM), and amount of coolant dispensed (ACD) on cutting temperature, material removal rate and surface roughness is investigated. A special setup is prepared for regulating the minimum quantity of lubricant. The responses such as Temperature, Material Removal Rate and Surface Roughness are measured and regression models are developed for these responses. Regression models are solved using Particle Swarm Optimization (PSO) technique.Keywords
Milling Operation, Particle Swarm Optimization, En 31, MQL Setup.References
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