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Arabian Journal for Science and Engineering

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08-10-2021 | Research Article-Computer Engineering and Computer Science

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

Authors: Faiza Al-Shaarani, Adnan Gutub

Published in: Arabian Journal for Science and Engineering | Issue 2/2022

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Abstract

Secret sharing is an approach for accessing sensitive information by several authorized participants. It shares the secret key in different forms among several authorized participants, where a certain number of which is required to retrieve the original secret. This secret sharing raised a new practicality challenge of human secrecy memorization as well as limited number of users allowed, which have been addressed within this work. This paper examines two particular secret sharing techniques known as the counting-based secret sharing and the matrix-based secret sharing, which enhances the former to accommodate a high number of participants. This work aimed to serve participants accommodating the share’s memorization challenge via image steganography as well as testing both schemes in the cases of original 1-bit and 2-bit methods. We compared practicality applying the secret sharing methods combined with two image steganography methods: the least significant bit and the discrete wavelet transform. Our findings included interesting remarks regarding both security and robustness. Our results demonstrated that despite the large number of shares generated, as to serve more participants using the matrix-based scheme, its performance was highly satisfactory. Our experiments illustrated high imperceptibility levels for the matrix-based scheme, which in turn provides higher security and robustness compared to the original method, which provided very few shares serving a limited number of participants.

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Kini, N.; Kini, V.; Gautam: A Secured Steganography Algorithm for Hiding an Image in an Image. Studies in Computational Intelligence, Vol. 771, p. 539–546. Springer (2019)

Ogata, W.; Kurosawa, K.; Stinson, D.R.: Optimum secret sharing scheme secure against cheating. SIAM J. Discret. Math. 20(1), 79–95 (2006). https://doi.org/10.1137/S0895480100378689MathSciNetCrossRefMATH

Shamir, A.: How to share a secret. Commun. ACM 22(11), 612–613 (1979). https://doi.org/10.1145/359168.359176MathSciNetCrossRefMATH

Gutub, A.; Al-Juaid, N.; Khan, E.: Counting-based secret sharing technique for multimedia applications. Multimed. Tools Appl. 78(5), 5591–5619 (2019). https://doi.org/10.1007/s11042-017-5293-6CrossRef

Porwal, S., Mittal, S.: A threshold secret sharing technique based on matrix manipulation. In: AIP Conference on Proceedings, 2214 (2020). https://doi.org/10.1063/5.0003358

Kadhim, I.J.; Premaratne, P.; Vial, P.J.; Halloran, B.: Comprehensive survey of image steganography: techniques, evaluations, and trends in future research. Neurocomputing 335, 299–326 (2019). https://doi.org/10.1016/j.neucom.2018.06.075CrossRef

Hussain, M.; Wahab, A.W.A.; Bin Idris, Y.I.; Ho, A.T.S.; Jung, K.H.: Image steganography in spatial domain: a survey, signal process. Image Commun. 65, 46–66 (2018). https://doi.org/10.1016/j.image.2018.03.012CrossRef

Bhargava, S.; Mukhija, M.: Hide image and text using LSB DWT and RSA based on image steganography ICTACT. J. Image Video Process 9(3), 1940–1946 (2019). https://doi.org/10.21917/ijivp.2019.0275CrossRef

Yahya, A.: Steganography techniques. Steganogr. Tech. Digit. Images 2, 9–42 (2019). https://doi.org/10.1007/978-3-319-78597-4_2CrossRef

10.

Hamid, N.; Yahya, A.; Ahmad, R.B.; Al-Qershi, O.M.: Image steganography techniques: an overview. Int. J. Comput. Sci. Secur. 6(3), 168–187 (2012)

11.

Kumar, V.; Kumar, D.: Performance evaluation of DWT based image steganography. IEEE 2nd Int. Adv. Comput. Conf. (IACC) (2010). https://doi.org/10.1109/IADCC.2010.5423005CrossRef

12.

Hamid, N., Yahya, A., Ahmad, R.B., Najim, L., Perlis, K.K.: Steganography in image files : a survey School of Computer and Communication Engineering University Malaysia Perlis (UniMAP) Ministry of Science and Technology Iraq, Baghdad 7(1), 35–55 (2013)

13.

Shejul, A.A.; Kulkarni, U.L.: A DWT based approach for steganography using biometrics. DSDE—Int Conf. Data Storage Data Eng. 2010, 39–43 (2010). https://doi.org/10.1109/DSDE.2010.10CrossRef

14.

Alshoura, W.; Zainol, Z.; Teh, J.; Alawida, M.; Alabdulatif, A.: Hybrid SVD-based image watermarking schemes: a review. IEEE Access 9, 32931–32968 (2021). https://doi.org/10.1109/ACCESS.2021.3060861CrossRef

15.

Gutub, A.; Al-Shaarani, F.: Efficient Implementation of multi-image secret hiding based on LSB and DWT steganography comparisons. Arab. J. Sci. Eng. 45(4), 2631–2644 (2020). https://doi.org/10.1007/s13369-020-04413-wCrossRef

16.

Elharrouss, O.; Almaadeed, N.; Al-Maadeed, S.: An image steganography approach based on k-least significant bits (k-LSB). IEEE Int. Conf. Inform. IoT Enab. Technol. (ICIoT) (2020). https://doi.org/10.1109/ICIoT48696.2020.9089566CrossRef

17.

Sahu, A.K.; Swain, G.: A novel n-rightmost bit replacement image steganography technique. 3D Res. (2019). https://doi.org/10.1007/s13319-018-0211-xCrossRef

18.

Blakley G.: Safeguarding cryptographic keys. Int. Work. Manag. Req. Knowl., MARK (1979). https://doi.org/10.1109/MARK.1979.8817296

19.

Miranda-López, V., et al.: Experimental analysis of secret sharing schemes for cloud storage based on RNS. Commun. Comput. Inf. Sci. 796, 370–383 (2018). https://doi.org/10.1007/978-3-319-73353-1_26CrossRef

20.

Tchernykh, A., et al.: Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. Cluster Comput. 22(4), 1173–1185 (2019). https://doi.org/10.1007/s10586-018-02896-9CrossRef

21.

Raman, R., Varshney, L.: Distributed storage meets secret sharing on the blockchain. Inf. Theory Appl. Workshop (ITA). https://doi.org/10.1109/ITA.2018.8503089

22.

Fukumitsu, M., Hasegawa, S., Iwazaki, J., Sakai, M., Takahashi, D.: A proposal of a secure P2P-type storage scheme by using the secret sharing and the blockchain. In: International Conference on Advanced Information Networking and Applications, AINA, 2017, pp. 803–810. https://doi.org/10.1109/AINA.2017.11

23.

Xiong, F.; Xiao, R.; Ren, W.; Zheng, R.; Jiang, J.: A key protection scheme based on secret sharing for blockchain-based construction supply chain system. IEEE Access 7, 126773–126786 (2019). https://doi.org/10.1109/ACCESS.2019.2937917CrossRef

24.

Rashid Ibrahim, D., Sen Teh, J., Abdullah, R., Ibrahim, D.R., Teh, J.S., Abdullah, R., Multifactor authentication system based on color visual cryptography, facial recognition and dragonfly optimization ARTICLE multifactor authentication system based on color visual cryptography, facial recognition and dragonfly optimization. Artic. Inf. Secur. J. A Glob. Perspect. 30(3): 149–159 (2020). https://doi.org/10.1080/19393555.2020.1817633

25.

Al-Ghamdi, M.; Al-Ghamdi, M.; Gutub, A.: Security enhancement of shares generation process for multimedia counting-based secret-sharing technique. Multimed. Tools Appl. 78(12), 16283–16310 (2019). https://doi.org/10.1007/s11042-018-6977-2CrossRef

26.

Gutub, A.; Al-Qurashi, A.: Secure shares generation via m-blocks partitioning for counting-based secret sharing. J Eng Res 8(3), 91–117 (2020). https://doi.org/10.36909/JER.V8I3.8079CrossRef

27.

Al-Qurashi, A.; Gutub, A.: Reliable Secret key generation for counting-based secret sharing. J. Comput. Sci. Comput. Math. (JCSCM) 8(4), 87–101 (2018). https://doi.org/10.20967/jcscm.2018.04.006CrossRef

28.

Gutub, A.; Alkhodaidi, T.: Smart Expansion of Target Key for More Handlers to Access Multimedia Counting-Based Secret Sharing, Multimedia Tools and Applications (MTAP) (2020) (in press). https://doi.org/10.1007/s11042-020-08695-y

29.

Gutub, A.; Al-Ghamdi, M.: Image based steganography to facilitate improving counting-based secret sharing, 3D research, Springer, ISSN 2092–6731, 10, 6 (2019). https://doi.org/10.1007/s13319-019-0216-0

30.

Gutub, A.: Regulating watermarking semi-authentication of multimedia audio via counting-based secret sharing, Pamukkale University Journal of Engineering Sciences, in press (2021). https://doi.org/10.5505/pajes.2021.54837

31.

Gutub, A.: Watermarking images via counting-based secret-sharing for lightweight semi-complete authentication. Int. J. Inf. Secur. Privacy (IJISP), Accepted in 2021, in press to appear in Vol. 16, No. 1, Aricle 18

32.

Gutub, A.; Alaseri, K.: Refining Arabic text stego-techniques for shares memorization of counting-based secret sharing. J. King Saud Univ. Comput. Inf. Sci. (2019). https://doi.org/10.1016/j.jksuci.2019.06.014CrossRef

33.

AlKhodaidi, T.; Gutub, A.: Refining image steganography distribution for higher security multimedia counting-based secret-sharing, Multimed. Tools Appl. (MTAP), in press (2020). https://doi.org/10.1007/s11042-020-09720-w

34.

Gutub, A.; Al-Ghamdi, M.: Hiding shares by multimedia image steganography for optimized counting-based secret sharing. Multimed. Tools Appl. (MTAP) 79, 7951–7985 (2020). https://doi.org/10.1007/s11042-019-08427-xCrossRef

35.

Kaggle: Dataset. https://www.kaggle.com/vic006/beginner. Accessed 30 Jan 2021

36.

Pradhan, A.; Sahu, A.K.; Swain, G.; Sekhar, K.R.: Performance evaluation parameters of image steganography techniques. In: International Conference on Research Advances in Integrated Navigation Systems, RAINS 2016, pp. 1–8 (2016). https://doi.org/10.1109/RAINS.2016.7764399

37.

Setiadi, D.: PSNR versus SSIM: imperceptibility quality assessment for image steganography. Multimed, Tools Appl, (2020). https://doi.org/10.1007/s11042-020-10035-zCrossRef

38.

Al-Shaarani, F.; Gutub, A.: Securing Matrix counting-based secret-sharing involving crypto steganography. J. King Saud University - Comput. Inform. Sci. (2021). https://doi.org/10.1016/j.jksuci.2021.09.009CrossRef

39.

Gutub, A.: Regulating watermarking semi-authentication of multimedia audio via counting-based secret sharing. Pamukkale University J. Eng. Sci. (2021). https://doi.org/10.5505/pajes.2021.54837CrossRef

40.

Shambour, M.K.; Gutub, A.: Personal privacy evaluation of smart devices applications serving hajj and umrah rituals. J. Eng. Res. (2021). https://doi.org/10.36909/jer.13199CrossRef

41.

Gutub, A.; Al-Roithy, B.: Varying PRNG to improve image cryptography implementation. J. Eng. Res. 9(3A), 153–183 (2021). https://doi.org/10.36909/jer.v9i3A.10111CrossRef

Title: Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography
Authors: Faiza Al-Shaarani
Adnan Gutub
Publication date: 08-10-2021
Publisher: Springer Berlin Heidelberg
Published in: Arabian Journal for Science and Engineering / Issue 2/2022
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-021-06165-7

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