Intrusion Detection and Data Recovery using Log Mining |
Author(s): |
| Sanyukta Kate , NBN Sinhgad School of Engineering, Ambegaon, Pune. Savitribai Phule Pune University; Mitali Tarkar, NBN Sinhgad School of Engineering, Ambegaon, Pune. Savitribai Phule Pune University; Bhavana Kathwate, NBN Sinhgad School of Engineering, Ambegaon, Pune. Savitribai Phule Pune University; Manisha Pathare, NBN Sinhgad School of Engineering, Ambegaon, Pune. Savitribai Phule Pune University; Prof. P. S. Kulkarni, NBN Sinhgad School of Engineering, Ambegaon, Pune. Savitribai Phule Pune University |
Keywords: |
| Intrusion, Intrusion Detection System (IDS), Log Mining, Data Recovery, Forensic Analysis |
Abstract |
|
Number of resources are invested by organizations in securing information from intruders. In case of an intrusion, without a reliable data recovery system the company will face losses. The existing technologies only detect anomalous behaviors in databases created by users. However, conventional security mechanisms are not designed to recover the original information that has been altered. This paper shows an approach to detect an intrusion and also provides a novel solution for recovery of data along with forensic analysis. |
Other Details |
|
Paper ID: IJSRDV3I30126 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 226-228 |
Article Preview |
|
|
|
|
