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CRYPTIC MINING IN LIGHT OF ARTIFICIAL INTELLIGENC

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): ADITI THAKUR , KAJOL MAHESHWARI , SHALIGRAM PRAJAPAT

Abstract: Analysis of cipher text is intractable problem”, for which there is no fixed algorithm. For intelligent cryptic analysis there would be a need of cooperative effort of cryptanalyst and inference engine .The information of knowledge base will be useful for mining tasks such as information about the classification of cipher text based on encrypting algorithms, clustering of cipher text based on similarity, extracting association rules for identifying weaknesses of cryptic algorithms. This categorization will be useful for placing given cipher text into a specific category of difficulty level of cipher text-plain text conversion. This paper attempts to create a framework for AIenabled- Cryptanalysis system. The process depicted in the paper generalizes the idea for development of from scratch. The paper also presents useful system design diagrams for development of extended AI based Cryptic cipher analysis tool

  • Publication Date: 29-Aug-2015
  • DOI: 10.15224/978-1-63248-073-6-77
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MGA APPROACH FOR OPTIMIZATION OF DISTRIBUTED GENERATION PARAMETERS IN A POWER SYSTEM NETWORK

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): C.NAYANATARA , D.SIVAKUMAR , J.BASKARAN

Abstract: deploying a well modelled computer network will guaranty effective management. Planning, designing, scalability, administration and management of a computer network on different scales to proffer effectiveness of data flow, bandwidth management and network security is dependent on a designer’s choice of model. Different network models exist and application of a particular model or combination of these models depend on different factors

  • Publication Date: 29-Aug-2015
  • DOI: 10.15224/978-1-63248-073-6-79
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