Utilizing Fuzzy Logic in Developing Reversible Data Hiding Method

Amrulloh, Mohammad; Ahmad, Tohari

doi:10.22266/ijies2020.1031.30

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…In addition to image objects, objects in the form of audio files are also used as storage media. The use of fuzzy logic in the insertion of audio files is also used to detect free space and help better spread [30].…”

Section: The Role Of Fuzzy In Steganographymentioning

confidence: 99%

Systematic Literature Review of the Role of Fuzzy Logic in the Development of Cryptographic and Steganographic Techniques

Murti

Lestariningsih

Redjeki

et al. 2021

AJRCoS

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The rapid technological revolution had an impact on a variety of information security techniques. This will be important because information can be confidential to some entities that communicate with each other. Internet in intelligent technology will be a loophole for cryptanalysts to look for information vulnerabilities. Cryptography is a method of securing data and information which is currently still supported by the development of the method. However, the data and information that are secured will still have vulnerabilities in their delivery. The combination of fuzzy logic techniques with cryptographic techniques has been applied to support the improvement of information security. This study applies a systematic literature review method, to find articles that combine the two fields. The purpose of this study is to see the development of information security techniques with a fuzzy logic approach. As a result, it is found that the development of cryptographic and steganographic techniques that utilize fuzzy logic to help improve information security. In addition, the use of fuzzy logic is also not limited to increasing security. Fuzzy logic also plays a role in selecting the best key and password and issuing random numbers from a Pseudo-Random Number Generator (PRNG).

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Section: The Role Of Fuzzy In Steganographymentioning

confidence: 99%

Systematic Literature Review of the Role of Fuzzy Logic in the Development of Cryptographic and Steganographic Techniques

Murti

Lestariningsih

Redjeki

et al. 2021

AJRCoS

View full text Add to dashboard Cite

show abstract

“…The embedding algorithm is used to conceal the confidential data in a cover media to produce a stego-media, which will be sent to the reception side, while the extracting algorithm is used to extract the confidential data from the stegomedia. The process of using a key in the embedding and extracting algorithms is optional to increase the level of security [5,6].…”

Section: Introductionmentioning

confidence: 99%

Unprecedented Security Analysis Results for a Novel Steganography Approach Based on Protein Sequences

2023

IJIES

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With the rapid advancement of the digital network, information technology, digital libraries, and especially the services of the world wide web, many types of information can be retrieved at any time. Thus, the issue of security has become one of the most important problems in distributing new information. It is essential to protect this information while it is passing through unsecured channels. Steganography offers a powerful approach to hiding confidential data in suitable media vectors such as images, audio files, text files, and video files. In the field of steganography, the most common measurements of hiding the intended data in a cover media are hiding capacity, cracking probability, payload, and bit per nucleotide (bpn), and these measurements are considered the most of the prime challenges in the field of steganography. The main objective of this research is to provide a novel data hiding schema using protein-based steganography that provides good security performance measurement and outperforms DNA-based steganography approaches, where protein sequences are not utilized for steganography purposes. According to the proposed method, each byte of the secret message is partitioned into two 4-bit parts, and then these parts are converted into the decimal system. Finally, the decimal values of the secret message are randomly included in the cover protein sites using a pseudo random number generator (PRNG) for each cover protein base value instead of being sequentially embedded in the cover protein bases. It is considered that this random distribution increases system security. The proposed method works with a one-digit protein decimal coding rule (PDCR), and the byte of the message will be embedded in two bases of amino acids. From the experimental results, it has been found that the proposed method preserves the reference protein's original function (zero modification rate in the original protein sequence) and achieves a very high hiding capacity of 4 bpn when the sequence's bases are entirely data-embedded, a very low cracking probability, and a payload of zero. Furthermore, the proposed method saves 50% of the bandwidth compared with the other existing technique.

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“…A programming tool is needed which helps to have an easy development of process of fuzzy control, containing the choice to validate the outcomes as well to tune behaviour of system [6]. In order to achieve exactness in the experimental results, fuzzy logic is used by many of the researchers, few of them to mention in literature, in data security for embedding secret messages effectively in to the medium [7] where the fuzzification is used to predict the sample space, enhancement of medical images [8] where fuzzy logic is used by stretch membership function, for the solutions to regression and classification problems [9] where author used fuzzy methods to find solutions to issues of regression dependent linguistic learning of fuzzy approaches. There are many research works make use of fuzzy logic such as enhancement of medical images [10].…”

Section: Introductionmentioning

confidence: 99%

Algorithm fuzzy scheduling (AFS) for realtime jobs on multiprocessor systems

Holagundi¹,

Ashwathsetty²,

Basthikodi

2022

IJEECS

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The computing in Real-time is rapidly focusing much developments in technologies so that the real-time jobs are to be scheduled and executed on computing systems in particular time frame. The scheduling and load balancing techniques in distributed systems face numerous challenges because of lack of centralized strategy to dispatch the jobs in multiprocessors systems. In this work, we propose an Algorithm Fuzzy Scheduling (AFS) for real-time jobs that includes of Arrival time, Deadline and Computation time as the scheduling parameters of input. The approach AFS is analyzed and compared with Existing Fuzzy Algorithm (EFA) model for evaluation of performances from the outcome of the simulation. The jobs are scheduled on multiprocessor at higher system load by making use of fuzzy mechanisms in the algorithms. The experimental results prove that the proposed AFS achieves a better performance comparatively to EFA at various system load factors with respect to mean turnaroundtime, mean response time and count of missed deadlines. This is the initial phase of the algorithm, that will be enhanced to consider a greater number of parameters to be associated with jobs for better decision making and to investigate the scope for algorithm level parallelism.

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Utilizing Fuzzy Logic in Developing Reversible Data Hiding Method

Cited by 8 publications

References 16 publications

Systematic Literature Review of the Role of Fuzzy Logic in the Development of Cryptographic and Steganographic Techniques

Systematic Literature Review of the Role of Fuzzy Logic in the Development of Cryptographic and Steganographic Techniques

Unprecedented Security Analysis Results for a Novel Steganography Approach Based on Protein Sequences

Algorithm fuzzy scheduling (AFS) for realtime jobs on multiprocessor systems

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