Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia

Research Article

Implementation of Huffman Algorithm on Digital Signature to Prove The Ownership Portable Document Format

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  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2298023,
        author={R. Reza El Akbar and Rohmat  Gunawan and Firman  Setiawan},
        title={Implementation of Huffman Algorithm  on Digital Signature to Prove The Ownership  Portable Document Format},
        proceedings={Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia},
        publisher={EAI},
        proceedings_a={ICONISTECH-1},
        year={2020},
        month={11},
        keywords={digital signature huffman pdf},
        doi={10.4108/eai.11-7-2019.2298023}
    }
    
  • R. Reza El Akbar
    Rohmat Gunawan
    Firman Setiawan
    Year: 2020
    Implementation of Huffman Algorithm on Digital Signature to Prove The Ownership Portable Document Format
    ICONISTECH-1
    EAI
    DOI: 10.4108/eai.11-7-2019.2298023
R. Reza El Akbar1,*, Rohmat Gunawan1, Firman Setiawan1
  • 1: Informatics Department Engineering Faculty Siliwangi University
*Contact email: reza@unsil.ac.id

Abstract

Portable Document Format (PDF) is one type of file that is frequently exchanged over the internet. Proving ownership of PDF documents is important so that they are not used by irresponsible people. So that proof of ownership of PDF documents can be done, this research proposes applying digital signatures. Digital signatures are generally inserted in the body in the internal structure of the PDF. In this research try to insert a digital signature in the xref pdf section. Before the copying process is carried out, the Digital signature is compressed first with the Huffman algorithm to optimize data storage capacity in each xref line and the inserted data is not easily perceived. The experimental results in the study showed that the size of the digital signature data that had been compressed using the Huffman algorithm decreased by an average of around 16.25% compared to before it was compressed. Digital signature data entered in the xref section is not easily perceived and does not increase the size of the pdf file.