An implementation of data encryption for Internet of Things using blowfish algorithm on FPGA

Prasetyo, Kurniawan Nur; Purwanto, Yudha; Darlis, Denny

doi:10.1109/icoict.2014.6914043

Cited by 40 publications

(21 citation statements)

References 3 publications

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“…Similarly, smartphones exhibit their versatility being used as gateway [267][268][269], user interface [270,271], and sensing [265,266] IoT devices. Meanwhile, FPGAs have exhibited a sigmoid exponential phase growth in the last two years, with applications such as data encryption [273][274][275], routing algorithms optimization [276], and parallel networks simulation [277].…”

Section: Discussionmentioning

confidence: 99%

“…The Field-Programmable Gate Array (FPGA) is a hardware reconfigurable component that contains an array of computational (logic) elements, with a functionality specified by a hardware description language [272]. These FPGAs are used in IoT investigations for data encryption [273][274][275], routing algorithms [276], and parallel simulation [277]. A microcontroller (MCU) is a small computer on a single integrated circuit, which includes a processor core, RAM/ROM memory, peripherals, and, in some cases, RF transceivers.…”

Section: Device Operating Systems (Os) and Hardwarementioning

confidence: 99%

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Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Discussionmentioning

confidence: 99%

Section: Device Operating Systems (Os) and Hardwarementioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…An endpoint might be a message sink or base station (BS), which passes data to the next layer of the architecture, as occurs in traditional sensor networks when a sink communicates over a satellite link. To ensure confidential communication of information in an IoT, many schemes have been proposed, schemes which employ existing state-of-art encryption algorithms [32][33][34][35][36][37][38]. A summary of the proposed encryption schemes for IoT with standard cipher algorithms is presented in Table 1.…”

Section: Related Studiesmentioning

confidence: 99%

Lightweight Cipher for H.264 Videos in the Internet of Multimedia Things with Encryption Space Ratio Diagnostics

Shifa

Asghar

Noor

et al. 2019

Preprint

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Within an Internet of Multimedia Things, the risk of disclosing streamed video content, such as arising from video surveillance, is of heightened concern. This leads to the encryption of that content. To reduce the overhead and lack of flexibility arising from full encryption of the content, a good number of selective-encryption algorithms have been proposed in the last decade. Some of them have limitations, in terms of significant delay due to computational cost, or excess memory utilization, or, despite being energy efficient, do not provide a satisfactory level of confidentiality, due to their simplicity. To address such issues, this paper presents a lightweight selective encryption scheme, in which encoder syntax elements are encrypted with the innovative EXPer (EXtended Permutation with exclusive OR).  The selected syntax elements are taken from the final stage of video encoding that is during entropy coding. As a diagnostic tool, the Encryption Space Ratio measures encoding complexity of the video relative to the level of encryption so as to judge the success of the encryption process, according to entropy coder. A detailed comparative analysis of EXPer with state-of-the-art algorithms confirms that the EXPer provides significant confidentiality with a small computational cost and negligible encryption bitrate overhead. Thus, the results demonstrate that the proposed security scheme is a suitable choice for constrained devices in an Internet of Multimedia Things environment.

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“…Blowfish algorithm is implemented on FPGA using VHDL programming language [12,13]. The blowfish algorithm is analyzed by ascertaining certain measurements in order to achieve better performance such as encryption time, throughput, avalanche effect, and security.…”

Section: Background and Previous Research 21 Related Workmentioning

confidence: 99%

Optimized Hardware Implementation of Enhanced TRIPLE-DES using Cluster LUT and Pipelining on SPARTEN FPGA

Sarhan¹,

Fayez²,

Hussen³

2017

IJCA

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Due to the rapid use of Internet technology, a need for security mechanisms has appeared to protect the information. Cryptography is one of the most effective techniques used to protect and secure information. Triple Data encryption standard is a cryptography system that provides security in the commercial enterprise. A lot of research has been made over DES and Triple DES algorithms to enhance their performance. In this paper, an Enhanced Triple-DES Algorithm based on Cluster LUT (Look Up Table) and Pipelining (ETDCP) is proposed, as a modification of the Triple DES. ETDCP algorithm uses Cluster LUT in hardware implementation and uses the large embedded memories available in the SPARTAN-E FPGA as hardware designed to obtain the minimum utilized resource. Using cluster LUT diminishes the consumption power by reducing the number of registers and slice/area, which decreases the number of logic utilizations used for Spartan Xilinx FPGA. In addition, ETDCP uses pipelining techniques which will increase the processing rate. The experimental results are based on simulated and synthesized (Xilinx Spartan-E) using ModelSim 6.5 and VHDL code. The results show high throughput/area FPGA implementation. The simulation result also proves that the proposed FPGA implementation of ETDCP algorithm has better speed performance compared to previous implementations of cryptographic algorithms.

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An implementation of data encryption for Internet of Things using blowfish algorithm on FPGA

Cited by 40 publications

References 3 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

Lightweight Cipher for H.264 Videos in the Internet of Multimedia Things with Encryption Space Ratio Diagnostics

Optimized Hardware Implementation of Enhanced TRIPLE-DES using Cluster LUT and Pipelining on SPARTEN FPGA

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