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ADVANCED IMAGE ANALYSIS BASED SYSTEM FOR AUTOMATIC DETECTION OF MALARIAL PARASITE IN BLOOD IMAGES

Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): JIGYASHA SONI , NIPUN MISHRA

Abstract: Malaria is a serious global health problem, and rapid, accurate diagnosis is required to control the disease. An image processing algorithm to automate the diagnosis of malaria in blood images is developed in this project. The image classification system is designed to positively identify malaria parasites present in thin blood smears, and differentiate the species of malaria. Images are acquired using a charge-coupled device camera connected to a light microscope.

  • Publication Date: 03-Jun-2011
  • DOI: 10.15224/978-981-07-1847-3-1027
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INTER DOMAIN PACKET FILTERS FOR IP FORGING ATTACKS

Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): A. RAVI , M.SRINIVASA ROA , P.V.RAVI KANTH

Abstract: The Distributed Denial-of-Service (DDoS) attack is a serious threat to the legitimate use of the Internet. Even Prevention mechanisms are attacked by the ability of attackers to forge or spoof the source addresses in IP packets. By employing IP spoofing, attackers can avoid detection and put a substantial burden on the destination network for policing attack packets.

  • Publication Date: 03-Jun-2011
  • DOI: 10.15224/978-981-07-1847-3-1027
  • Views: 0
  • Downloads: 0