Markov Analysis of AVK Approach of Symmetric Key Based Cryptosystem

Prajapat, Shaligram; Thakur, Ramjeevan Singh

doi:10.1007/978-3-319-21413-9_12

Cited by 8 publications

(6 citation statements)

References 4 publications

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“…With the development of multi another approach of advancement in cryptography is Automatic variable key approach, the cipher generated from this approach are through dynamic keys that keeps changing from session to session. some variety of techniques(such as Fibonacci Q and Sparse Matrix) and it's analysis from hackers and cryptanalyst perspective is available in [8,10,14,16,18].from the perspective of Cryptic mining, The clustering and classification of ciphers is to be investigated from ANN,BBN and its variants.…”

Section: Background For Cryptanalysismentioning

confidence: 99%

“…In [17] Association rules for variability of key using parameterized approach have been constructed for prediction of future parameters for construction of key from hacker's perspectives. In [18], the cryptic algorithm developed from Fibonacci-Q matrix [10,14,15] under various situations say hacker is interested to mine future keys, future key sequences, and probable steady state situation using Markov process. The stochastic analysis and future recommendations for ensuring security is presented in [18,20].…”

Section: Related Work For Avk Cryptosystemmentioning

confidence: 99%

“…The possibility of learning based parameter prediction may be added as an extension to cryptic tool like Sgcrypter [21]. Fibonacci-Q based cryptic algorithm can be extended for parallel and distributed computing for large input files [10,24,18]. The divide and conquer approach and its impact for matrix [22] multiplication and gain in the complexity can be tested.…”

Section: Future Cryptic Mining Directionmentioning

confidence: 99%

See 2 more Smart Citations

AVK based Cryptosystem and Recent Directions Towards Cryptanalysis

Prajapat¹,

Sharma²,

Thakur³

2016

Journal of Internet Computing and Services

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Cryptanalysis is very important step for auditing and checking strength of any cryptosystem. Some of these cryptosystem ensures confidentiality and security of large information exchange from source to destination using symmetric key cryptography. The cryptanalyst investigates the strengths and identifies weakness key as well as enciphering algorithm. With increase in key size the time and effort required to guess the correct key increases so trend is increase key size from 8,16,24, 32, 56, 64, 128 and 256 bits to strengthen the cryptosystem and thus algorithm continues without compromise on the cost of time and computation. Automatic Variable Key (AVK) approach is an alternative to the approach of fixing up key size and adding security level with key variability adds new dimension in the development of secure cryptosystem. Likewise, whenever any new cryptographic method is invented to replace per-existing vulnerable cryptographic method, its deep analysis from all perspectives (Hacker / Cryptanalyst as well as User) is desirable and proper study and evaluation of its performance is must. This work investigates AVK based cryptic techniques, in future to exploit benefits of advances in computational methods like ANN, GA, SI etc. These techniques for cryptanalysis are changing drastically to reduce cryptographic complexity. In this paper a detailed survey and direction of development work has been conducted. The work compares these new methods with state of art approaches and presents future scope and direction from the cryptic mining perspectives.

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Section: Background For Cryptanalysismentioning

confidence: 99%

Section: Related Work For Avk Cryptosystemmentioning

confidence: 99%

Section: Future Cryptic Mining Directionmentioning

confidence: 99%

See 1 more Smart Citation

AVK based Cryptosystem and Recent Directions Towards Cryptanalysis

Prajapat¹,

Sharma²,

Thakur³

2016

Journal of Internet Computing and Services

Self Cite

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“…Association Rule: These set of algorithm investigates rules for associating parameters based relationships together with (plain-text,cipher-text) paired associations. [48,49] Pattern discovery: These set of algorithm works as scanners and input them to high-end analysis tools like Markov model [48], ANN, GA, ACO etc. These cryptic mining techniques finds applications in detecting behavior of malware, ad-ware analysis, classes of attacks using honey-pot and honey-net systems.…”

Section: Background For Cryptanalysismentioning

confidence: 99%

Various Approaches towards Cryptanalysis

Prajapat¹,

Thakur²

2015

IJCA

Self Cite

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Cryptanalysis is very important step for auditing and checking strength of any cryptosystem. Some of these cryptosystem ensures confidentiality and security of large information exchange from source to destination using symmetric key cryptography. The cryptanalyst investigates the strength and identifies the weakness of the key as well as enciphering algorithm. With the increase in key size, the time and effort required predicting the correct key increases. So, the Trend of increasing key size from 1 Byte to 8 Bytes to strengthen the cryptosystem and hence algorithm continues with compromise on the cost of time and computation. Automatic Variable Key (AVK) based symmetric key cryptosystem is an alternative to this style by fixing up key size and adding security level direction. Whenever any new cryptographic method is invented to replace existing vulnerable cryptographic method, it's deep analysis from all perspectives (Hacker / Cryptanalyst as well as User) is desirable and proper study and evaluation of its performance is must. New cryptic techniques may exploit benefits of advances in computational methods like ANN, GA, SI etc. These techniques for cryptanalysis are changing drastically to reduce cryptographic complexity. In this paper a detailed survey and direction of development work has been conducted. The work compares these new methods with state of art approaches and presents future scope and directions from the cryptic mining perspectives.

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“…But in literature there are ciphers being generated through keys of short-fixed-length keys [12,13] varying with session to sessions. Ciphers generated through these AVK mechanism [14,15] are to be converted back into plain text.…”

Section: Review Of Literaturementioning

confidence: 99%

Cryptic Mining in Light of Artificial Intelligence

Prajapat¹,

Thakur²,

Maheshwari³

et al. 2015

ijacsa

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Abstract-"The analysis of cryptic text is hard problem", and there is no fixed algorithm for generating plain-text from cipher text. Human brains do this intelligently. The intelligent cryptic analysis process needs learning algorithms, co-operative effort of cryptanalyst and mechanism of knowledge based inference engine. This information of knowledge base will be useful for mining data(plain-text, key or cipher text plain-text relationships), classification of cipher text based on enciphering algorithms, key length or any other desirable parameters, clustering of cipher text based on similarity and extracting association rules for identifying weaknesses of cryptic algorithms. This categorization will be useful for placing given cipher text into a specific category or solving difficult level of cipher textplain text conversion process. This paper elucidates cipher textplain text process first than utilizes it to create a framework for AI-enabled-Cryptanalysis system. The process demonstrated in this paper attempts to analyze captured cipher from scratch. The system design elements presented in the paper gives all hints and guidelines for development of AI enabled Cryptic analysis tool.

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Markov Analysis of AVK Approach of Symmetric Key Based Cryptosystem

Cited by 8 publications

References 4 publications

AVK based Cryptosystem and Recent Directions Towards Cryptanalysis

AVK based Cryptosystem and Recent Directions Towards Cryptanalysis

Various Approaches towards Cryptanalysis

Cryptic Mining in Light of Artificial Intelligence

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