Enabling secure image transmission in unmanned aerial vehicle using digital image watermarking with H-Grey optimization

被引:8
|
作者
Devi, K. Jyothsna [1 ]
Singh, Priyanka [1 ]
Bilal, Muhammad [2 ,3 ]
Nayyar, Anand [4 ]
机构
[1] SRM Univ AP, Guntur 522240, India
[2] Univ Lancaster, Sch Comp & Commun, Lancaster LA1 4WA, England
[3] Hankuk Univ Foreign Studies, Dept Comp Engn, Yongin 17035, South Korea
[4] Duy Tan Univ, Fac Informat Technol, Grad Sch, Da Nang 550000, Vietnam
关键词
DWT-SVD; HSO; GWO; H-Grey; Digital Image Watermarking; Symmetric cryptography; Hybrid optimization; WAVELET TRANSFORM; SVD; ALGORITHM; SCHEME;
D O I
10.1016/j.eswa.2023.121190
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Drone technology, also known as Unmanned Aerial Vehicles (UAVs), has advanced rapidly in the last decade owing to the huge number of users. This approach has an immense opportunity in areas like healthcare, agriculture, and forestry. However, the transmission of digital images via drone technology is associated with vulnerabilities and risks, due to a lack of efficient security solutions. Digital Image Watermarking (DIW) has emerged as a viable solution for digital image transmission in UAV applications. However, achieving robustness, security, and imperceptibility in a watermarking system at the same time is a difficult task. To address the aforementioned concerns, this paper proposes a secure digital image watermarking scheme in the hybrid DWT-SVD domain. The scaling factor is chosen adaptively from the hybrid Harmony-Grey Wolf (H-Grey) optimization algorithm to maintain a balance between imperceptibility and robustness. In addition, a novel symmetric cryptographic-based four-level encryption approach PSMD (Partitioning, Substituting, Merging, Division) is proposed to address UAV image security concerns by using Fibonacci and prime number series to generate two random keys. The proposed encryption scheme provides high security at low computational cost. The experimental results show that the visual quality and robustness are both high (Avg. PSNR = 41.27 dB and Avg. SSIM = 0.99, NC = 0.99, and BER = 0.0008 calculated for 100 images). The subjective and objective experimental analysis indicates that the proposed encryption scheme is highly secure and the computational cost is also low. The average embedding and extraction time is 0.25 s and 0.09 s It is resistant to various image processing attacks. A comparison with some of the most recent popular schemes confirms the scheme's effectiveness. The presented DIW can be used for copyright protection, UAV image transmission applications, military applications, and other purposes.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Application of an Unmanned Aerial Vehicle for Crack Measurement Using Image Calibration Supported by Laser Projectors
    Kuang-Wu Chou
    Lian-Gui He
    Kevin Hsu
    Wen-Cheng Liao
    Chang-Wei Huang
    Multiscale Science and Engineering, 2021, 3 (3-4) : 225 - 235
  • [42] Dynamic visual servoing with image moments for an unmanned aerial vehicle using a virtual spring approach
    Ozawa, Ryuta
    Chaumette, Francois
    ADVANCED ROBOTICS, 2013, 27 (09) : 683 - 696
  • [43] Multielement Classification of a Small Fragmented Planting Farm Using Hyperspectral Unmanned Aerial Vehicle Image
    Xie, Yong
    Peng, Feiyu
    Tao, Zui
    Shao, Wen
    Dai, Qiancheng
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [44] Multielement Classification of a Small Fragmented Planting Farm Using Hyperspectral Unmanned Aerial Vehicle Image
    Xie, Yong
    Peng, Feiyu
    Tao, Zui
    Shao, Wen
    Dai, Qiancheng
    IEEE Geoscience and Remote Sensing Letters, 2022, 19
  • [45] Unmanned aerial vehicle oblique image registration using an ASIFT-based matching method
    Wang, Chengyi
    Chen, Jingbo
    Chen, Jiansheng
    Yue, Anzhi
    He, Dongxu
    Huang, Qingqing
    Zhang, Yi
    JOURNAL OF APPLIED REMOTE SENSING, 2018, 12 (02):
  • [46] Secure Transmission of Compressed Medical Image Sequences on Communication Networks Using Motion Vector Watermarking
    Ullah, Rafi
    bin Hasan, Mohd Hilmi
    Khan, Sultan Daud
    Rahim, Mussadiq Abdul
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 78 (03): : 3283 - 3301
  • [47] Image-to-Image Translation-Based Structural Damage Data Augmentation for Infrastructure Inspection Using Unmanned Aerial Vehicle
    Gwon, Gi-Hun
    Lee, Jin-Hwan
    Kim, In-Ho
    Baek, Seung-Chan
    Jung, Hyung-Jo
    DRONES, 2023, 7 (11)
  • [48] Image Dehazing Method of Transmission Line for Unmanned Aerial Vehicle Inspection Based on Densely Connection Pyramid Network
    Liu, Jun
    Jia, Rong
    Li, Wei
    Ma, Fuqi
    Wang, Xiaoyang
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2020, 2020
  • [49] Robust and Secure Digital Image Watermarking Technique Using Arnold Transform and Memristive Chaotic Oscillators
    Sehra, Khushwant
    Raut, Samriddhi
    Mishra, Ashutosh
    Kasturi, Poonam
    Wadhera, Shweta
    Saxena, Geetika Jain
    Saxena, Manoj
    IEEE ACCESS, 2021, 9 : 72465 - 72483
  • [50] Secure medical image communication using ROI based lossless watermarking and novel digital signature
    Umamageswari, A.
    Suresh, G. R.
    JOURNAL OF ENGINEERING RESEARCH, 2014, 2 (03): : 87 - 108