Secure data transfer in IoT environment: Adopting both cryptography and steganography techniques

Das, Ria; Das, Indrajit

doi:10.1109/icrcicn.2016.7813674

Cited by 32 publications

(27 citation statements)

References 15 publications

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“…Embedding process: Four pixels from the grayscale Baboon cover image (145, 116, 77, 71), n=4, SD1=(5)10 Firstly, calculate the gemd(p1,p2,p3,p4) value, gemd(145,116,77,71)= (145x1+116x2+77x3+71x4) mod (2x4+1) gemd= 892 mod 9 =1, then convert secret data (SD1)to (2x4+1)-ary notational system (5)9, calculate diff value, diff=(5 -1) mod 9 = 4, diff ≤ n, only chanced , using (5). , = + 1 = 71 + 1 = 72.…”

Section: Examplementioning

confidence: 99%

High Embedding Capacity Data Hiding Technique Based on EMSD and LSB Substitution Algorithms

Solak

2020

IEEE Access

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Data hiding called steganography is a security technique to protect secret data throughout the transmission from malicious attackers. The purposes of steganography are to obtain good stego-image quality, high embedding-capacity, low computational complexity, visual imperceptibility, undetectability, and more security. In this paper, we offer a new hybrid image steganography technique based on least significant bit (LSB) substitution and enhanced modified signed digit (EMSD) algorithms. The proposed algorithm utilizes n adjacent cover image pixels to hide the secret data with EMSD algorithm, and least significant k-bit for LSB substitution algorithm. Hence, it has more embedding capacity than the EMSD algorithm and exploiting modification direction (EMD) based algorithms. We obtain that the stego-image quality is better than 43 dB when the payload is 2.404 bpp. The results of experiment represent that this algorithm ensures high embedding-capacity while preserving acceptable visual stego image quality that can be undetectable by human eyes. Also, the hybrid of the EMSD and LSB substitution algorithms is to difficult for malicious people to consolidate data by scrambling secret data bits. INDEX TERMS Data hiding, Data security, EMD (exploiting modification direction), EMSD (enhanced modified signed digit), GEMD (generalized exploiting modification direction), LSB (least significant bit), SMSD (sparse modified signed digit),

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Section: Examplementioning

confidence: 99%

High Embedding Capacity Data Hiding Technique Based on EMSD and LSB Substitution Algorithms

Solak

2020

IEEE Access

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“…The main issue with the security proposed by Ria Das et al [22] examines accessing and altering all the data and information. By using the cryptography we can prevent Integrity attacks where steganography has been used to avoid confidentiality attacks.…”

Section: Related Workmentioning

confidence: 99%

Efficient and Secure Data Transfer in IoT

2019

IJRTE

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Nowadays, the Internet of Things (IoT) has been used widely in our daily day to day life, starting from health care devices, hospital management appliances to a smart city. Most of the IoT devices have limited resources and limited storing capability. All the sensed information must have to be transmitted and to store in the cloud. To make a decision and for making analysis all the data stored in the cloud has to be retrieved. Making certain the credibility and security of the sensed information are much necessary and very important for the use of IoT devices. We tend to examine the proposed technique to be much secure than the existing one. In IoT, if the security is not ensured, then it may result in a variety of unsought issues. This survey resembles the overall safety aspects of IoT and debates the overall issues in the security of IoT.

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“…Internet of Things (IoT) generally refers to scenarios where network connectivity and computing capability extends to individuals, wireless identifiable objects, sensors, sensor embedded-smart tiny devices and everyday items (not normally considered computers) enabling these to generate, exchange and consume data with minimal human intervention [1], [2]. The fundamental fact that IoT consists of a ubiquitous array of devices having sensing and actuating abilities being confined to the Internet depicts the scenario that the relationships between objects and people are tightly intertwined.…”

Section: Introductionmentioning

confidence: 99%

“…The fundamental fact that IoT consists of a ubiquitous array of devices having sensing and actuating abilities being confined to the Internet depicts the scenario that the relationships between objects and people are tightly intertwined. Additionally, the deployed proportion of IoT devices will get doubled (50 billion devices) by 2020 is the forecast predicted by Cisco's Internet Business Solutions Group [2], [3]. Some examples of IoT applications lies in EHealth, Smart Transportation, Smart Home Experience, Environmental Monitoring, Precision Agriculture, Retail and Logistics and numerous such domains [2].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the deployed proportion of IoT devices will get doubled (50 billion devices) by 2020 is the forecast predicted by Cisco's Internet Business Solutions Group [2], [3]. Some examples of IoT applications lies in EHealth, Smart Transportation, Smart Home Experience, Environmental Monitoring, Precision Agriculture, Retail and Logistics and numerous such domains [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using Smart Contract for Privacy Preserving in Internet of Things (IoT) Environments

Dehrouyeh¹,

Azmi²

2018

JACN

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 Abstract-The utilization of IoT technology increases uninterrupted. The sensors in IoT environments collect great amounts of data and give them to the service providers. This generous content of user's individual data for IoT applications introduces new security challenges. Indeed privacy preserving is a very significant issue for IoT applications. In this paper, we propose a protocol for privacy preserving in IoT environments using blockchain technology and smart contract concept. Blockchain provides a condition that non-trusting members can correlate with each other without a trusted intermediary. Smart contract is a computer code that executes the conditions of a contract itself. Smart contract helps us to exchange our valuable things in a transparent way without any need to a middleman. The key issue in this work is a secure transmission of the shared key between a sender and a receiver using smart contract and blockchain technology in IoT environments. The secure exchange of shared key can result privacy preserving. We have implemented a prototype of the proposed protocol using pyethereum, and evaluate its security via AVISPA tool.

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Secure data transfer in IoT environment: Adopting both cryptography and steganography techniques

Cited by 32 publications

References 15 publications

High Embedding Capacity Data Hiding Technique Based on EMSD and LSB Substitution Algorithms

High Embedding Capacity Data Hiding Technique Based on EMSD and LSB Substitution Algorithms

Efficient and Secure Data Transfer in IoT

Using Smart Contract for Privacy Preserving in Internet of Things (IoT) Environments

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