The Improved Hill Encryption Algorithm towards the Unmanned Surface Vessel Video Monitoring System Based on Internet of Things Technology

The Improved Hill Encryption Algorithm towards the Unmanned Surface Vessel Video Monitoring System Based on Internet of Things Technology
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基于物联网技术的无人水面舰艇视频监控系统的改进Hill加密算法

DOI:
10.1155/2018/5183451
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发表时间:
2018-10
影响因子:
--
通讯作者:
Xia Minghua
Xia Minghua
中科院分区:
计算机科学4区
文献类型:
--
作者:
Yang Tingting;Li Yangyang;Lai Chengzhe;Dong Jie;Xia Minghua

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本文结合海上安防的实际需求,分析了视频加密算法对海上监控系统的具体要求。基于物联网技术,设计并实现了无人水面舰艇(USV)智能监控系统,采用了物联网的安全技术和网络技术。无人潜航器用于监测和收集海上信息,这对海上安全至关重要。一旦视频数据在传输过程中被海盗和犯罪分子捕获,海上的安全将受到严重影响。传统算法的缺点是加密程度不高,计算成本昂贵,视频数据在传输过程中容易被截获和捕获。为了克服这些缺点,本文提出了一种新的加密算法,即改进的Hill加密算法来解决无人视频监控系统的安全问题。具体而言,将经典密码学中的Hill算法移植到图像加密中,使用可逆矩阵作为密钥实现图像矩阵的加密。改进的Hill加密算法结合视频压缩过程,根据视频图像的内容调节加密过程的参数,克服了传统加密算法存在的缺点,减少了逆矩阵的计算时间,使算法在不同图像信息下的综合性能最优。实验结果验证了改进后的加密算法的良好性能。
Depending on the actual demand of maritime security, this paper analyzes the specific requirements of video encryption algorithm for maritime monitoring system. Based on the technology of Internet of things, the intelligent monitoring system of unmanned surface vessels (USV) is designed and realized, and the security technology and network technology of the Internet of things are adopted. The USV are utilized to monitor and collect information on the sea, which is critical to maritime security. Once the video data were captured by pirates and criminals during the transmission, the security of the sea will be affected awfully. The shortcomings of traditional algorithms are as follows: the encryption degree is not high, computing cost is expensive, and video data is intercepted and captured easily during the transmission process. In order to overcome the disadvantages, a novel encryption algorithm, i.e., the improved Hill encryption algorithm, is proposed to deal with the security problems of the unmanned video monitoring system in this paper. Specifically, the Hill algorithm of classical cryptography is transplanted into image encryption, using an invertible matrix as the key to realize the encryption of image matrix. The improved Hill encryption algorithm combines with the process of video compression and regulates the parameters of the encryption process according to the content of the video image and overcomes the disadvantages that exist in the traditional encryption algorithm and decreases the computation time of the inverse matrix so that the comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.
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