SSII: Secured and High-Quality Steganography Using Intelligent Hybrid Optimization Algorithms for IoT
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TLDR
In this article, the authors proposed an image steganography procedure by utilizing the combination of various algorithms that build the security of the secret data by utilizing Binary bit-plane decomposition (BBPD) based image encryption technique.Abstract:
Internet of Things (IoT) is a domain where the transfer of big data is taking place every single second. The security of these data is a challenging task; however, security challenges can be mitigated with cryptography and steganography techniques. These techniques are crucial when dealing with user authentication and data privacy. In the proposed work, a highly secured technique is proposed using IoT protocol and steganography. This work proposes an image steganography procedure by utilizing the combination of various algorithms that build the security of the secret data by utilizing Binary bit-plane decomposition (BBPD) based image encryption technique. Thereafter a Salp Swarm Optimization Algorithm (SSOA) based adaptive embedding process is proposed to increase the payload capacity by setting different parameters in the steganographic embedding function for edge and smooth blocks. Here the SSOA algorithm is used to localize the edge and smooth blocks efficiently. Then, the hybrid Fuzzy Neural Network with a backpropagation learning algorithm is used to enhance the quality of the stego images. Then these stego images are transferred to the destination in the highly secured protocol of IoT. The proposed steganography technique shows better results in terms of security, image quality, and payload capacity in comparison with the existing state of art methods.read more
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References
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Salp Swarm Algorithm
Seyedali Mirjalili,Amir H. Gandomi,Seyedeh Zahra Mirjalili,Shahrzad Saremi,Hossam Faris,Seyed Mohammad Mirjalili +5 more
TL;DR: The qualitative and quantitative results prove the efficiency of SSA and MSSA and demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.
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Image Quality Metrics: PSNR vs. SSIM
Alain Horé,Djemel Ziou +1 more
TL;DR: A simple mathematical relationship is derived between the peak-signal-to-noise ratio and the structural similarity index measure which works for various kinds of image degradations such as Gaussian blur, additive Gaussian white noise, jpeg and jpeg2000 compression.
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Secure Medical Data Transmission Model for IoT-Based Healthcare Systems
Mohamed Elhoseny,Gustavo Ramirez-Gonzalez,Osama Abu-Elnasr,Shihab A. Shawkat,N. Arunkumar,Ahmed Farouk +5 more
TL;DR: The proposed hybrid security model for securing the diagnostic text data in medical images proved its ability to hide the confidential patient’s data into a transmitted cover image with high imperceptibility, capacity, and minimal deterioration in the received stego-image.
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Cryptanalysis and Security Improvements of ‘Two-Factor User Authentication in Wireless Sensor Networks’
TL;DR: It is shown that the M.L. Das-scheme has some critical security pitfalls and cannot be recommended for real applications, and improvements and security patches are proposed that attempt to fix the susceptibilities of his scheme.
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b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET
Shi-Jinn Horng,Shiang-Feng Tzeng,Yi Pan,Pingzhi Fan,Xian Wang,Tianrui Li,Muhammad Khurram Khan +6 more
TL;DR: A secure scheme that can achieve the security and privacy requirements, and overcome the weaknesses of SPECS is provided, and the efficiency merits of the scheme are shown through performance evaluations in terms of verification delay and transmission overhead.