S. Padmapriya ¹, E. Kirubakaran ¹, N. M. Elango ²

Affiliations
1 Department of Information Technology, AVCCE, IN
2 Madanapalle Institute of Technology and Science, IN

Abstract

Background/Objective: To create a Computer Aided Diagnosis system to detect the abnormalities in the human tissue images by extending the attributes. Methods/Statistical Analysis: An efficient and hybrid classifier using "K-Ratio Super Item set Finding-Nearest Neighborhood Classifier (KRSIF-NNC) Algorithm" is proposed. It classifies the tumor cells in an effective manner by adopting extended attributes from small datasets. The glioblastoma and lung cancer tissue image samples are keyed in to the algorithm which classifies them into four grades. Findings: From the histopathology (tissue) images the pathologists will be able to diagnose the abnormalities in the tissues. Examination and judgments are based on the pathologist's personal experience. The problem is during the manual diagnosis, there is a chance of missing some cancerous cells in the tissue images. This is solved by adopting the proposed classifier which automatically do the diagnostic process and classify it into proper grade. Thus the proposed classifier improves the classification process. Applications/Improvements: Improved classification is required to detect the cancer grades. This hybrid approach has better classification accuracy than other approaches with 4% improvement which is very essential.

Keywords

Extending Attributes, Hybrid Classifier, KRSIF-NNC, Tissue Images Naïve Bayes Classifier

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M. Elavarasi ¹, N. M. Elango ²

Affiliations
1 Bharathiar University, Coimbatore - 641046, Tamil Nadu, IN
2 School of Information Technology and Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN

Abstract

Objectives: This work contributes for an understanding of cyber crime investigation methodology and its prosecution in India.Alsoit covers investigation mechanism and various methodologies carried out by police department and Indian judicial system. Methods/Statistical Analysis: By the method of questioning and gathering of information, cyber crime investigation begins; after that computer forensic tool is used to find the criminal and also the amount of damage caused to data. Once the evidences are collected it has to be protected without any loss to the originality. The evidences which are collected by the investigating officer should organise it and finally submit the report for prosecution. Findings: According to cyber crime cases in India,it lacks technical experts in handling the cases. Technically trained police officers are very less. There is a lacuna in judicial department also. The second major issue is Judicial Jurisdiction in handling cyber crime cases. Judicial and police officers are to be trained regularly. Information Technology Act to be modified and severe punishment to be given to the criminals. Most of the sections in IT Act having minimum punishment only which has to be changed. Application/Improvements: Establishment of cyber crime police stations and cyber forensic labs throughout the country is the need of the hour. By realising the seriousness of this emerging crime government should take steps in improving the technology in handling the Hi-tech crimes.

Keywords

Cyber Crime, Computer Forensic, Investigation, Jurisdiction, IT Act

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