A Tree Structure Based Key Generation Technique for Data Security Enhancement

<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>

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LLSFIoT: Lightweight Logical Security Framework for Internet of Things

Wireless Communications and Mobile Computing ◽

10.1155/2021/8526206 ◽

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.

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Implementasi Algoritma Merkle-Hellman Knapsack dalam Penyandian Record Database

MEANS (Media Informasi Analisa dan Sistem) ◽

10.54367/means.v5i2.983 ◽

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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Security Enhancement of Remote FPGA Devices By a Low Cost Embedded Network Processor

Iraqi Journal for Electrical And Electronic Engineering ◽

10.37917/ijeee.9.2.1 ◽

2013 ◽

Vol 9 (2) ◽

pp. 36-48

Author(s):

Qutaiba Ali ◽

Sahar Lazim

Keyword(s):

Embedded Systems ◽

Data Security ◽

Low Cost ◽

Network Processor ◽

New Method ◽

Design Data ◽

Security Enhancement ◽

Embedded Network

The incredible growth of FPGA capabilities in recent years and the new included features have made them more and more attractive for numerous embedded systems. There is however an important shortcoming concerning security of data and design. Data security implies the protection of the FPGA application in the sense that the data inside the circuit and the data transferred to/from the peripheral circuits during the communication are protected. This paper suggests a new method to support the security of any FPGA platform using network processor technology. Low cost IP2022 UBICOM network processor was used as a security shield in front of any FPGA device. It was supplied with the necessary security methods such as AES ciphering engine, SHA-1, HMAC and an embedded firewall to provide confidentiality, integrity, authenticity, and packets filtering features.

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An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

International Journal of Distributed Sensor Networks ◽

10.1177/1550147720925772 ◽

2020 ◽

Vol 16 (6) ◽

pp. 155014772092577 ◽

Cited By ~ 2

Author(s):

Shahwar Ali ◽

A Humaria ◽

M Sher Ramzan ◽

Imran Khan ◽

Syed M Saqlain ◽

...

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Security ◽

Response Times ◽

Base Station ◽

Wireless Channel ◽

Sensor Nodes ◽

Wireless Sensor ◽

Key Generation ◽

Diffie Hellman

In wireless sensor networks, the sensors transfer data through radio signals to a remote base station. Sensor nodes are used to sense environmental conditions such as temperature, strain, humidity, sound, vibration, and position. Data security is a major issue in wireless sensor networks since data travel over the naturally exposed wireless channel where malicious attackers may get access to critical information. The sensors in wireless sensor networks are resource-constrained devices whereas the existing data security approaches have complex security mechanisms with high computational and response times affecting the network lifetime. Furthermore, existing systems, such as secure efficient encryption algorithm, use the Diffie–Hellman approach for key generation and exchange; however, Diffie–Hellman is highly vulnerable to the man-in-the-middle attack. This article introduces a data security approach with less computational and response times based on a modified version of Diffie–Hellman. The Diffie–Hellman has been modified to secure it against attacks by generating a hash of each value that is transmitted over the network. The proposed approach has been analyzed for security against various attacks. Furthermore, it has also been analyzed in terms of encryption/decryption time, computation time, and key generation time for different sizes of data. The comparative analysis with the existing approaches shows that the proposed approach performs better in most of the cases.

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