A new key generation technique using GA for enhancing data security in cloud environment

2018 ◽  
Vol 7 (1) ◽  
pp. 4
Author(s):  
H.M. Leena ◽  
D.I. George Amalarethinam
Keyword(s):  
Data Security ◽  
Key Generation ◽  
Cloud Environment ◽  
Generation Technique

A Tree Structure Based Key Generation Technique for Data Security Enhancement

2017 ◽  
Vol 10 (9) ◽  
pp. 2895
Author(s):  
G. Manikandan ◽  
P. Rajendiran ◽  
V. Harish ◽  
Nooka Sai Kumar
Keyword(s):  
Data Security ◽  
Tree Structure ◽  
Key Generation ◽  
Security Enhancement ◽  
Generation Technique

Attribute-Based Collusion Resistance in Group-Based Cloud Data Sharing using LKH Model

2019 ◽  
Vol 29 (02) ◽  
pp. 2030001
Author(s):  
N. Rajkumar ◽  
E. Kannan
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Key Generation ◽  
Administration Cost ◽  
Cloud Environment ◽  
Forward Secrecy ◽  
Computation Cost ◽  
Collusion Resistance ◽  
Cloud Data ◽  
Generation Technique

Utilizing cloud computing, users can avail a compelling and effective approach for information sharing between collective individuals in the cloud with the facility of less administration cost and little maintenance. Security in cloud computing refers to procedures, standards and processes created to provide assurance for security of information in the cloud environment. In this paper, we project a secure data sharing method in cloud for dynamic members by producing keys for users using Logic Key Hierarchy (LKH) model, i.e., a tree-based key generation technique. We have generated this key using reverse hashing and one way hash-based technique so that no exiled user can predict the new key and new users cannot predict the old keys of the network group. From numerous experiments, this work is proved to be the best in maintaining forward secrecy, backward secrecy and group compromise attacks and consumes less computation cost compared to any other hash-based key generation techniques.

scholarly journals Utilizing a Lightweight PKI Mechanism to Guarantee a Secure Service in a Cloud Environment

2018 ◽  
Author(s):  
Sangho Park ◽  
HyunJin Kim ◽  
Jaehyung Park ◽  
JaeCheol Ryou
Keyword(s):  
Artificial Intelligence ◽  
Data Security ◽  
Mutual Authentication ◽  
Abnormal Behavior ◽  
Key Generation ◽  
Cloud Environment ◽  
Cloud Technology ◽  
Artificial Intelligence Algorithm ◽  
Attack Data ◽  
Smart Service

Recently, cloud technology has become popular for smart societies. The Cloud technology has made dynamical network changes by enabling the construction of a logical network without building a physical network. Despite recent research on the cloud, it is necessary to study security functions for the identification of fake VNFs and the encryption of communication between entities. In this paper, we proposed an LW_PKI mechanism that detects a fake VNF and guarantees data security through mutual authentication between VNFs. To evaluate the LW_PKI, we built a MANO environment to test the performance of authentication and key generation for data security. In addition, we applied the artificial intelligence algorithm to detect abnormal behavior by using real attack data in the MANO environment. The LW_PKI guaranteed the reliability of a smart service by enhancing the security of the cloud environment.

DSCESM: Data Security for Cloud Environment with Scheduled Key Managers

2020 ◽  
Author(s):  
Jeevitha B K ◽  
Sindhura D ◽  
Thriveni J. ◽  
Venugopal K R
Keyword(s):  
Data Security ◽  
Cloud Environment

scholarly journals Proxy Re-Encryption in cloud using ALBC (adaptive lattice based cryptography)

2019 ◽  
Vol 16 (3) ◽  
pp. 1455
Author(s):  
Chandrakala B M ◽  
S C Lingareddy
Keyword(s):  
Comparative Analysis ◽  
Data Sharing ◽  
Data Security ◽  
Key Generation ◽  
Encryption Scheme ◽  
Two Phase ◽  
Data Store ◽  
Learning With Errors ◽  
Lattice Based Cryptography

<p>In recent days, data sharing has provided the flexibility to share the data, store the data, and perform operation on data virtually as well as cost effectively. Data sharing in cloud is one of the feature, which is being popular and widely accepted. However, the concern here is to ensure the data security and this has led the researcher to research in this area. To provide the security several Proxy re-encryption scheme has been introduced, however all these method lacks of efficiency. Hence In this paper, we propose a scheme known as ALBC (Adaptive Lattice Based Cryptography), this scheme follows the two phase i.e. encryption and Re-encryption. Encryption phase has few algorithms such as Key_Gen, Enc, Dec. Similarly ALBC Re-Enc has five algorithm i.e. Key_Gen, Key_ReGen,  Enc, Re-Enc, Dec. our algorithm not only provides the security but also solves the problem of RL(Ring-learning) with errors problems. In order to evaluate, our algorithm is compared with the existing model in terms of encryption time, decryption time, re-encryption time, key generation  and key regeneration by varying the various key size. When we observe the comparative analysis, it is observed that our algorithm outperforms the existing algorithm.</p>

scholarly journals LLSFIoT: Lightweight Logical Security Framework for Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Isha Batra ◽  
Hatem S. A. Hamatta ◽  
Arun Malik ◽  
Mohammed Baz ◽  
Fahad R. Albogamy ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Algorithm Design ◽  
Research Work ◽  
Generation Mechanism ◽  
Key Generation ◽  
Security Framework ◽  
Heavy Weight ◽  
Work First ◽  
Security Enhancements

Current research in Internet of Things (IoT) is focused on the security enhancements to every communicated message in the network. Keeping this thought in mind, researcher in this work emphasizes on a security oriented cryptographic solution. Commonly used security cryptographic solutions are heavy in nature considering their key size, operations, and mechanism they follow to secure a message. This work first determines the benefit of applying lightweight security cryptographic solutions in IoT. The existing lightweight counterparts are still vulnerable to attacks and also consume calculative more power. Therefore, this research work proposes a new hybrid lightweight logical security framework for offering security in IoT (LLSFIoT). The operations, key size, and mechanism used in the proposed framework make its lightweight. The proposed framework is divided into three phases: registration, authentication, and light data security (LDS). LDS offers security by using unique keys at each round bearing small size. Key generation mechanism used is comparatively fast making the compromise of keys as a difficult task. These steps followed in the proposed algorithm design make it lightweight and a better solution for IoT-based networks as compared to the existing solutions that are relatively heavy weight in nature.

Implementasi Algoritma Merkle-Hellman Knapsack dalam Penyandian Record Database

2020 ◽  
pp. 162-165
Author(s):  
Reni Rahmadani ◽  
Harvei Desmon Hutahaean ◽  
Ressy Dwitias Sari
Keyword(s):  
Data Security ◽  
Public Key Cryptography ◽  
Data Encryption ◽  
Key Generation ◽  
Software Developers ◽  
Data Owner ◽  
Encryption And Decryption ◽  
User Data ◽  
Np Complete ◽  
Knapsack Algorithm

A lot of data is misused without the data owner being aware of it. Software developers must ensure the security user data on their system. Due to the size of the market that houses data, the security of record databases must be of great concern. Cryptographic systems or data encryption can be used for data security. The Merkle-Hellman Knapsack algorithm is included in public-key cryptography because it uses different keys for the encryption and decryption processes. This algorithm belongs to the NP-complete algorithm which cannot be solved in polynomial order time. This algorithm has stages of key generation, encryption, and decryption. The results of this study secure database records from theft by storing records in the form of ciphertext/password. Ciphertext generated by algorithmic encryption has a larger size than plaintext.

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