Abstract  Plagiarism involves reproducing the existing inform ation in modified format or sometimes the original document as  it  is.  This  is  quiet  common  among  students,  researc hers  and  academicians.  This  has  made  some  strong  in fluence  on  research  community  and  awareness  among  academic  peoples  to  p revent  such  a  kind  of  malpractice.  Though  there  exits  some  commercial  tools  to  detect  plagiarism,  still  plagia rism  is  tricky  and  quiet  challenging  task  due  to  ab undant  information  available  online.  Commercially  existing  software  ad opt  methods  like  paraphrasing,  sentence  matching  or   keyword  matching.  Such techniques are not too good in identifying the  plagiarized contents effectively. However this paper focuses its attention on  identifying  some  key  parameters  that  would  help  to  identify  plagiarism  in  a  better  manner.  The  results  seem  to  be  promising  and have further scope in detecting the plagiarism.        

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[15] Wadsworth, available at: http:// www.wadsworth. com/english_d/special-features/ plagiarism/, last visited 2004. Shanmugasundaram Hariharan received his BE degree specialized in computer science and engineering from Madurai Kammaraj University, Madurai, India in 2002, ME degree specialized in the field of computer science and engineering from Anna University, Chennai, India in 2004. He holds his PhD degree in the area of Information Ret rieval from Anna University, Chennai, India. He is a membe r of IAENG, IACSIT, ISTE, CSTA and has 8 years of experience in teaching. Currently he is presently w orking as associate professor in Department of Computer Scien ce and Engineering, TRP Engineering College, India. His re search interests include information retrieval, data minin g, opinion mining, web mining. He has to his credit several pa pers in referred journals and conferences. He also serves a s editorial board member and as program committee member for several international conferences and journals.