Smart Home Privacy Protection Based on the Improved LSB Information Hiding
| Autor: | Lina Yang, Xiaocui Dang, Patrick S. P. Wang, Xichun Li, Yuan Yan Tang, Ren Ping Liu, Haiyu Deng |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. 35 |
| ISSN: | 1793-6381 0218-0014 |
| Popis: | Smart home is an emerging form of the Internet of Things (IoT), enabling people to enjoy a convenient and intelligent life. The data generated by smart home devices are transmitted through the public channel, which is not secure enough, so the secret data in smart home are easily intercepted by malicious adversaries. In order to solve this problem, this paper proposes a smart home privacy protection method combining DES encryption and the improved Least Significant Bit (LSB) information hiding algorithm, changing the practice of directly exposing smart home secret information to the Internet, first, using Data Encryption Standard (DES) encryption to encrypt the smart home information and second, the improved LSB information hiding algorithm is used to hide the ciphertext, so that the adversary cannot detect the smart home secret information. The goal of the scheme is to provide a double protection for the secure transmission of the smart home secret information. If an attacker wants to carry out an attack, it has to break through at least two defense lines, which seems impossible to do. Experiment results show that the improved LSB algorithm is more robust than the existing algorithms, and it is very safe. Therefore, the scheme proposed in this paper is very practical for protecting the smart home secret information. |
| Databáze: | OpenAIRE |
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