Bit-Plane Slicing Algorithm for Crime Data Security using Fusion Technologies
Shaik Akbar1, K. Nageswara Rao2, T. Anand3
1Dr. Shaik Akbar, Professor, Department of CSE, PSCMR College of Engineering and Technology, Vijayawada (Andhra Pradesh), India.
2Dr. K. Nageswara Rao, Principal, PSCMR College of Engineering and Technology, Vijayawada (Andhra Pradesh), India.
3T. Anand, Associate Professor, Department of CSE, PSCMR College of Engineering and Technology, Vijayawada (Andhra Pradesh), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 18 April 2019 | PP: 323-325 | Volume-7 Issue-6S March 2019 | Retrieval Number: F02630376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Security in today’s world has become a critical issue. Information should be made very secure providing access only to authorized persons. Unaccredited persons should not be given access to the data. Cyber Department is the one which in search of the innovative ideas in order to secure this crime data. Forensic Science that is an application of science plays a vital role in undertaking the investigation of crimes and criminal justice using some scientific methodologies. Also, Steganography is the skill with which the data can be hidden or protected within another data (i.e data inside data with security). This paper brings out the integration of both Forensic Science and Steganography that gives rise to a hybrid technology for securing the crime data. The concept of Data embedding strengthens the Steganography method. The most appropriate method adapted in this paper is the use of finger prints of the crime persons. These gathered finger prints are divided into eight slices by using the “Bit plane slicing” algorithm. Any official data that is in reference with the crime data is being kept in any one of these eight slices. The main theme of this proposed paper is to secure the crime data in these finger prints.
Keywords: Cyber Department, Steganography, Forensic Science, Data Embedding, Finger Prints, Bit-Plane Slicing Algorithm.
Scope of the Article: Big Data Security