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COMPARATIVE STUDY OF PRIVATE AND PUBLIC KEY CRYPTOGRAPHY ALGORITHMS: A SURVEY

Authors: Priti Bali;

COMPARATIVE STUDY OF PRIVATE AND PUBLIC KEY CRYPTOGRAPHY ALGORITHMS: A SURVEY

Abstract

Internet has revolutionized many aspects of our daily lives. Nowadays Internet is used for millions of applications. Many people depend on Internet for several activities like on-line banking, on-line shopping, on-line learning and on-line meetings etc. Huge amount of data travels over the network. Security of data over the network is a critical issue. Making a network secure involves a lot more than just keeping it free from programming errors. Network Security refers to the protection of valuable data against Interception, Interruption, Modification, Fabrication and Non-repudiation. Computer networks are inherently insecure so to protect data over the networks we need some mechanism. Cryptography came into existence to ensure data security. There are various threats to data: Backdoors, denial-of-service attack, direct-access attack, eavesdropping, exploits, indirect-attacks and social engineering and human-error. Cryptography provides protection against security threats. Cryptography means secret writing, the content of original text is scrambled to produce coded text and job of intruders becomes difficult. Secret-writing is the strongest tool of cryptography which protects the data. Cryptography is used to ensure confidentiality, integrity and availability of data by using private and public key cryptography algorithms. Private and Public key algorithms are used to transform original (readable) messages into unreadable jumbles. This paper describes the comparison of Private (symmetric) and Public (asymmetric) key algorithms.

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    citations
    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).
    3
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
gold