A Survey on Chaos Based Encryption Technique

2019 ◽  
pp. 147-165 ◽  
Author(s):  
Anandkumar R ◽  
Kalpana R.
Keyword(s):  
Information Security ◽  
Internet Banking ◽  
Third Party ◽  
Unique Characteristic ◽  
Computing Services ◽  
Encryption And Decryption ◽  
Military Systems ◽  
Important Field ◽  
Real Time Computing ◽  
Secure Transmission

Information security is an important field among the pervasive use of applications namely internet banking, mobile services, emails, viz., chaos-based encryption techniques play an important role in many security processes, namely: military systems, robotics, and other real time computing services. The secure transmission of audio, image and video are processed with unique characteristic of a third-party which makes the encryption and decryption highly secure for the users. In this chapter, a detailed survey on the various chaos-based encryption techniques is discussed and analyzed.

A Survey on Chaos Based Encryption Technique

2021 ◽  
pp. 18-36
Author(s):  
Anandkumar R ◽  
Kalpana R.
Keyword(s):  
Information Security ◽  
Internet Banking ◽  
Third Party ◽  
Unique Characteristic ◽  
Computing Services ◽  
Encryption And Decryption ◽  
Military Systems ◽  
Important Field ◽  
Real Time Computing ◽  
Secure Transmission

Information security is an important field among the pervasive use of applications namely internet banking, mobile services, emails, viz., chaos-based encryption techniques play an important role in many security processes, namely: military systems, robotics, and other real time computing services. The secure transmission of audio, image and video are processed with unique characteristic of a third-party which makes the encryption and decryption highly secure for the users. In this chapter, a detailed survey on the various chaos-based encryption techniques is discussed and analyzed.

scholarly journals Ciphering and Deciphering Messages by Graph Labeling Techniques Through Multilevel Cryptosystem

2020 ◽  
Vol 8 (4S5) ◽  
pp. 33-39
Keyword(s):  
Research Work ◽  
Graph Labeling ◽  
Third Party ◽  
Secret Key ◽  
Cipher Text ◽  
Graph Pattern ◽  
Encryption And Decryption ◽  
Symmetric Key ◽  
Four Square ◽  
Secure Transmission

In this paper we present an upgraded technique of coding a message using Multilevel Cryptosystem based on Four square Cipher, Mono alphabetic Substitution Cipher and Columnar Transposition cipher subjected to Graph labeling. We send our Cipher text in the form of graph pattern which admits Root cube mean labeling. Further by using the secret key the receiver decrypts the edge labels which is shared by the sender. Here we employ Symmetric key cryptosystem for both encryption and decryption of messages as both the sender as well as thereceiver shares the same key for encryption and decryption of messages. In this research work we performed Multilevel Cryptographic technique together with Graph Labeling concept to save the messages from third party or Hackers ensuring secure transmission of messages

An examination on data integrity auditing patterns in cloud computing

2018 ◽  
Vol 7 (1.9) ◽  
pp. 200
Author(s):  
T A.Mohanaprakash ◽  
J Andrews
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Data Integrity ◽  
Cloud Service ◽  
New Approach ◽  
Computing Services ◽  
Security Challenges ◽  
Cloud Server ◽  
State Of Affairs ◽  
Dynamic Updates

Cloud computing is associate inclusive new approach on however computing services square measure made and utilized. Cloud computing is associate accomplishment of assorted styles of services that has attracted several users in today’s state of affairs. The foremost enticing service of cloud computing is information outsourcing, because of this the information homeowners will host any size of information on the cloud server and users will access the information from cloud server once needed. A dynamic outsourced auditing theme that cannot solely defend against any dishonest entity and collision, however conjointly support verifiable dynamic updates to outsourced information. The new epitome of information outsourcing conjointly faces the new security challenges. However, users might not totally trust the cloud service suppliers (CSPs) as a result of typically they may be dishonest. It's tough to work out whether or not the CSPs meet the customer’s expectations for information security. Therefore, to with success maintain the integrity of cloud information, several auditing schemes are projected. Some existing integrity ways will solely serve for statically archived information and a few auditing techniques is used for the dynamically updated information. The analyzed numerous existing information integrity auditing schemes together with their consequences.

scholarly journals Producing ‘good enough’ automated transcripts securely: Extending Bokhove and Downey (2018) to address security concerns

2021 ◽  
Vol 14 (1) ◽  
pp. 205979912098776
Author(s):  
Joseph Da Silva
Keyword(s):  
Cyber Security ◽  
English Language ◽  
Negative Impact ◽  
Early Career ◽  
Third Party ◽  
Doctoral Research ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Audio Data

Interviews are an established research method across multiple disciplines. Such interviews are typically transcribed orthographically in order to facilitate analysis. Many novice qualitative researchers’ experiences of manual transcription are that it is tedious and time-consuming, although it is generally accepted within much of the literature that quality of analysis is improved through researchers performing this task themselves. This is despite the potential for the exhausting nature of bulk transcription to conversely have a negative impact upon quality. Other researchers have explored the use of automated methods to ease the task of transcription, more recently using cloud-computing services, but such services present challenges to ensuring confidentiality and privacy of data. In the field of cyber-security, these are particularly concerning; however, any researcher dealing with confidential participant speech should also be uneasy with third-party access to such data. As a result, researchers, particularly early-career researchers and students, may find themselves with no option other than manual transcription. This article presents a secure and effective alternative, building on prior work published in this journal, to present a method that significantly reduced, by more than half, interview transcription time for the researcher yet maintained security of audio data. It presents a comparison between this method and a fully manual method, drawing on data from 10 interviews conducted as part of my doctoral research. The method presented requires an investment in specific equipment which currently only supports the English language.

scholarly journals An enhanced security tree to secure cloud data

2017 ◽  
Vol 7 (1.1) ◽  
pp. 64 ◽  
Author(s):  
S. Renu ◽  
S.H. Krishna Veni
Keyword(s):  
Data Storage ◽  
Binary Tree ◽  
Data Encryption ◽  
Third Party ◽  
Data Outsourcing ◽  
Cloud Data ◽  
Security Issues ◽  
Security Services ◽  
Computing Services ◽  
User Data

The Cloud computing services and security issues are growing exponentially with time. All the CSPs provide utmost security but the issues still exist. Number of technologies and methods are emerged and futile day by day. In order to overcome this situation, we have also proposed a data storage security system using a binary tree approach. Entire services of the binary tree are provided by a Trusted Third Party (TTP) .TTP is a government or reputed organization which facilitates to protect user data from unauthorized access and disclosure. The security services are designed and implemented by the TTP and are executed at the user side. Data classification, Data Encryption and Data Storage are the three vital stages of the security services. An automated file classifier classify unorganized files into four different categories such as Sensitive, Private, Protected and Public. Applied cryptographic techniques are used for data encryption. File splitting and multiple cloud storage techniques are used for data outsourcing which reduces security risks considerably. This technique offers  file protection even when the CSPs compromise. 

Implementation of Algorithms for Identity Based Encryption and Decryption

2021 ◽  
pp. 315-327
Author(s):  
Kannan Balasubramanian ◽  
M. Rajakani
Keyword(s):  
Third Party ◽  
Public And Private ◽  
Trusted Third Party ◽  
Private Key ◽  
Identity Based Encryption ◽  
Encryption And Decryption ◽  
Semantic Security ◽  
Identity Based ◽  
Mail Address ◽  
E Mail

Identity-based cryptosystems were introduced to overcome one of the main problems in public key encryption, the generation of public and private keys. In the identity-based cryptosystem, an identifier such as an e-mail address of a user can be used to generate public and private keys by a trusted third party. The trusted third party uses a system-wide master secret to provide private keys to a user. Identity-based cryptosystems can be constructed using the idea of pairings. This article discusses four different identity-based cryptosystems: the Boneh-Franklin scheme, the Cock's scheme, the Authenticated IBE scheme and the Hierarchical IBE scheme. This article also discusses the security notions considered for the identity-based cryptosystem. The security notions considered are: one-wayness, indistinguishability, semantic security and non-malleability. An architecture consisting of a public parameter server and private key generator for the implementation of the identity-based cryptosystems is also discussed.

Privacy Preserving and Efficient Outsourcing Algorithm to Public Cloud

2021 ◽  
pp. 857-878
Author(s):  
Malay Kumar ◽  
Manu Vardhan
Keyword(s):  
Data Privacy ◽  
Classification Systems ◽  
Third Party ◽  
Cloud Data ◽  
Computing Services ◽  
Cloud Server ◽  
Cloud Computing Services ◽  
Cloud Data Centers ◽  
Outsourcing Algorithm ◽  
Direct Implementation

The growth of the cloud computing services and its proliferation in business and academia has triggered enormous opportunities for computation in third-party data management settings. This computing model allows the client to outsource their large computations to cloud data centers, where the cloud server conducts the computation on their behalf. But data privacy and computational integrity are the biggest concern for the client. In this article, the authors attempt to present an algorithm for secure outsourcing of a covariance matrix, which is the basic building block for many automatic classification systems. The algorithm first performs some efficient transformation to protect the privacy and verify the computed result produced by the cloud server. Further, an analytical and experimental analysis shows that the algorithm is simultaneously meeting the design goals of privacy, verifiability and efficiency. Also, found that the proposed algorithm is about 7.8276 times more efficient than the direct implementation.

Privacy Preserving and Efficient Outsourcing Algorithm to Public Cloud

2018 ◽  
Vol 12 (2) ◽  
pp. 1-25 ◽  
Author(s):  
Malay Kumar ◽  
Manu Vardhan
Keyword(s):  
Data Privacy ◽  
Classification Systems ◽  
Third Party ◽  
Cloud Data ◽  
Computing Model ◽  
Computing Services ◽  
Cloud Server ◽  
Cloud Computing Services ◽  
Cloud Data Centers ◽  
Outsourcing Algorithm

The growth of the cloud computing services and its proliferation in business and academia has triggered enormous opportunities for computation in third-party data management settings. This computing model allows the client to outsource their large computations to cloud data centers, where the cloud server conducts the computation on their behalf. But data privacy and computational integrity are the biggest concern for the client. In this article, the authors attempt to present an algorithm for secure outsourcing of a covariance matrix, which is the basic building block for many automatic classification systems. The algorithm first performs some efficient transformation to protect the privacy and verify the computed result produced by the cloud server. Further, an analytical and experimental analysis shows that the algorithm is simultaneously meeting the design goals of privacy, verifiability and efficiency. Also, found that the proposed algorithm is about 7.8276 times more efficient than the direct implementation.

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