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ANALISIS MENGATASI SNIFFING DAN SPOOFING MENGGUNAKAN METODE ENKRIPSI DAN DEKRIPSI ALGORITMA HILL CHIPER

Authors: , Anjar Wanto;

ANALISIS MENGATASI SNIFFING DAN SPOOFING MENGGUNAKAN METODE ENKRIPSI DAN DEKRIPSI ALGORITMA HILL CHIPER

Abstract

Usaha Mikro, Kecil dan Menengah (UMKM) adalah salah satu motor penggerak perekonomian di negara Indonesia, bahkan Usaha Mikro, Kecil, Dan Menengah (UMKM) merupakan salah satu tulang punggung perekonomian. Usaha Mikro Kecil menengah (UMKM) menyumbang sekitar 60% dari PDB (Product Domestic Bruto). UMKM juga menciptakan peluang kerja yang cukup besar bagi tenaga kerja dalam negeri, sehingga sangat membantu upaya mengurangi pengangguran. Jadi, bisnis Usaha Mikro, Kecil danMenengah (UMKM) di Indonesia akan terus berkembang dan memberikan peluang usaha bagi mereka yang menyukai dunia wirausaha. UMKM dengan menggunakan E-Commerce sangat penting untuk meningkatkan kemajuan usaha dari UMKM itu sendiri, karena dengan fasilitas E-Commerce transaksi bisnis dan work flow akan menjadi lebih efektif dan efisien. Walaupun demikian, usaha & bisnis dengan ECommerce juga rentan dari pencurian (Sniffing) dan manipulasi (Spoofing) dari orang-orang yang tidak bertanggung jawab, seperti pencurian data rahasia sampai pembobolan situs web dari UMKM tersebut, sehingga diperlukan adanya keamanan yang baik dari situs web UMKM untuk melindungi data-data dan informasi penting, baik data pelanggan maupun data pemilik UMKM itu sendiri. Oleh karena itu untuk mengatasi hal ini penulis menggunakan Algoritma Hill Chipper untuk melakukan enkripsi dan dekripsi nya. Algoritma Hill Chiper merupakan algoritma kriptografi algoritma simetris (symmetric algorithms).

Keywords

Computer Sciences, Sniffing, Spoofing, E-Commerce, Hill Chipper, Physical Sciences and Mathematics, Systems Architecture

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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