Smart City Gnosys
Smart city article details
| Title | A Chaos-Based Multi-Level Dynamic Framework For Image Encryption |
|---|---|
| ID_Doc | 621 |
| Authors | Dhall S.; Pal S.K.; Sharma K. |
| Year | 2020 |
| Published | Internet of Things (IoT): Concepts and Applications |
| DOI | http://dx.doi.org/10.1007/978-3-030-37468-6_10 |
| Abstract | Large scale internet and mobile usage has led the world witness ubiquitous increase in data transfer requirements as well as nature of data in transmissions on insecure networks. Internet of Things (IoT) has given an altogether new dimension to security challenges required to be addressed in the emerging world of smart cities specially with respect to data which is not necessarily text based and is magnanimous and requires to be processed in environments with adaptive needs. Images form one such type of data which forms significant proportions of modern day transmissions and is also equally significant when it comes to data being generated by devices including mobile phones, IoT devices like smart bells, surveillance devices, CCTVs etc. specifically when operating in environments requiring adaptability to dynamic changes in security requirements in balance with resource availabilities. Traditional schemes with proven security like AES use static operations involving significant computational expense and are suitable for securing textual data but no such standard exists till date for securing media like images. Since, images are bulkier and contains significant correlation in neighbourhood so there is a need to design new encryption approaches going beyond the conventional static encryption paradigm, hence, in this chapter we propose a paradigm shift opposed to the static approach for encryption. This chapter proposes a chaos-based, multiple-round, adaptive and dynamic framework for image encryption with new levels of dynamism across different functional dimensions of the entire encryption process. The impact of the new levels of dynamism across the entire encryption process has been experimentally demonstrated. Observations and results show that such framework can be used to address dynamically changing encryption requirements and resist higher levels of cryptanalysis because the proposed dynamism of the framework makes it difficult for the attacker to identify and estimate the structure and operations of the encryption process to perform cryptanalysis. © Springer Nature Switzerland AG 2020. |
| Author Keywords | Adaptive; Chaos; Dynamic framework; Dynamism; Image encryption; Multimedia |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
33985  | 0.887 | Ahuja B.; Doriya R.; Salunke S.; Hashmi M.F.; Gupta A. | Iot-Based Multi-Dimensional Chaos Mapping System For Secure And Fast Transmission Of Visual Data In Smart Cities | IEEE Access, 11 (2023) |
| 25564 | 0.885 | Nazish M.; Banday M.T. | Exploring Lightweight Encryption For Image Security Using One-Dimensional Chaotic Maps | Proceedings - 3rd International Conference on Smart Technologies, Communication and Robotics 2023, STCR 2023 (2023) |
| 14786 | 0.882 | Abbood F.H.; Ayed L.B. | Color Image Encryption For Iot Using A Dynamical Non-Linear Stream Cipher Cryptosystem | HORA 2024 - 6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings (2024) |
| 59611 | 0.867 | Khan H.N.; Das A.; Chaudhuri A. | Unique Video Encryption Technique Intended For Smart City Application | IETE Journal of Research, 69, 9 (2023) |
| 7811 | 0.864 | Singh K.N.; Singh O.P.; Baranwal N.; Singh A.K. | An Efficient Chaos-Based Image Encryption Algorithm Using Real-Time Object Detection For Smart City Applications | Sustainable Energy Technologies and Assessments, 53 (2022) |
| 35260 | 0.858 | Al Abbas A.A.M.; Ibraheem N.B. | Lightweight Encryption For Iot Using Dynamic Stream Key | 2022 8th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2022 (2022) |