Efficient lossless based secure communication in 6G Internet-of-Things environments

被引:10
作者
Abbasi, Rashid [1 ,2 ]
Bashir, Ali Kashif [3 ,4 ,5 ]
Almagrabi, Alaa Omran [6 ]
Bin Heyat, Md Belal [7 ,8 ]
Yuan, Ge [1 ]
机构
[1] Anhui Polytech Univ, Sch Elect Engn, Minist Educ, Key Lab Adv Percept & Intelligent Control High En, Wuhu 241000, Anhui, Peoples R China
[2] King Fahd Univ Petr & Minerals, Dept Mech Engn, Dhahran 31261, Saudi Arabia
[3] Manchester Metropolitan Univ, Dept Comp & Math, Manchester, Lancs, England
[4] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut, Lebanon
[5] Woxsen Univ, Woxsen Sch Business, Hyderabad, India
[6] King Abdulaziz Univ, Fac Comp & Informat Technol Rabigh, Dept Informat Syst, Jeddah 21589, Saudi Arabia
[7] Shenzhen Univ, Coll Comp Sci & Software Engn, IoT Res Ctr, Shenzhen 518060, Peoples R China
[8] Novel Global Community Educ Fdn, Dept Sci & Engn, Hebersham, NSW 2770, Australia
基金
中国国家自然科学基金;
关键词
Internet of Things; 6G IoT networks; Energy-efficient; Information hiding; Security and privacy protection;
D O I
10.1016/j.seta.2023.103218
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Future sustainable energy-efficient computing solutions in e-healthcare, smart cities, and intelligent robotics applications provide the many benefits and real-time services made possible by the Internet of Things (IoT) and the cloud computing platform. IoT is a relatively new technology expected to emerge due to the expansion of data, communication channels, and embedded systems. Through the IoT, users and physical objects exchange data and interact on virtual networks. Due to the resource-constraint nature of IoT, it is becoming increasingly difficult for organizations and individuals to protect their private information as the value of digital information rises. Reversible Data Hiding (RDH) in Encrypted Images (RDHEI) is gaining popularity in 6G technology for privacy protection because of its ability to embed secret data within an encrypted image and confirm the hidden information authenticity. In this research, we proposed a sustainable, energy-efficient, multi-MSB (most significant bit)-based dynamic quadtree partition with enhanced Huffman coding. Different prediction representations are also utilized to anticipate the existing pixel value from the adjacent pixels based on quadtree partitions to take greater advantage of the spatial association in the cover image. Furthermore, the freed-up large space is used to insert additional data using dynamic quadtree partitions to encrypt the image. Our approach has an optimum embedding capacity compared to the current state-of-the-art schemes.
引用
收藏
页数:8
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