The emerging technologies with IoT (Internet of Things) systems are elevated as a prototype and combination of the smart connectivity ecosystem. These ecosystems are appropriately connected in a smart healthcare system which are generating finest monitoring activities among the patients, well-organized diagnosis process, intensive support and care against the traditional healthcare operations. But facilitating these highly technological adaptations, the preserving personal information of the patients are on the risk with data leakage and privacy theft in the current revolution. Concerning secure protection and privacy theft of the patient’s information. We emphasized this paper on secure monitoring with the help of intelligently recorded summary’s keyframe extraction and applied two rounds lightweight cosine-transform encryption. This article includes firstly, a regimented process of keyframe extraction which is employed to retrieve meaningful frames of image through visual sensor with sending alert (quick notice) to authority. Secondly, employed two rounds of lightweight cosine-transform encryption operation of agreed (detected) keyframes to endure security and safety for the further any kinds of attacks from the adversary. The combined methodology corroborates highly usefulness with engendering appropriate results, little execution of encryption time (0.2277-0.2607), information entropy (7.9996), correlation coefficient (0.0010), robustness (NPCR 99.6383, UACI 33.3516), uniform histogram deviation (R 0.0359, G 0.0492, B 0.0582) and other well adopted secure ideology than any other keyframe or image encryption approaches. Furthermore, this incorporating method can effectively reduce vital communication cost, bandwidth issues, storage, data transmission cost and effective timely judicious analysis over the occurred activities and keep protection by using effective encryption methodology to remain attack free from any attacker or adversary, and provide confidentiality about patient’s privacy in the smart healthcare system.

中文翻译：

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通过余弦变换加密对智能医疗物联网系统进行有效的安全监控

IoT（物联网）系统的新兴技术作为智能连接生态系统的原型和组合而得到了提升。这些生态系统在智能医疗保健系统中进行了适当连接，可在患者中产生最精细的监视活动，组织良好的诊断过程，对传统医疗保健操作的密集支持和护理。但是，为了促进这些高度技术性的适应，在当前革命中，保存患者的个人信息面临着数据泄漏和隐私被盗的风险。关于安全保护和窃取患者信息的隐私。我们通过智能记录摘要的关键帧提取，重点强调了安全监控方面的本文，并应用了两轮轻量余弦变换加密。本文首先包括关键帧提取的规则过程，该过程用于通过视觉传感器通过向权威机构发送警报（快速通知）来检索有意义的图像帧。其次，对同意的（检测到的）关键帧进行了两轮轻量级的余弦变换加密操作，以承受来自对手的任何形式的攻击的安全性和安全性。组合的方法通过产生适当的结果，执行加密时间（0.2277-0.2607），信息熵（7.9996），相关系数（0.0010），鲁棒性（NPCR 99.6383，UACI 33.3516），均匀直方图偏差（R 0.0359， G 0.0492，B 0.0582）和比其他任何关键帧或图像加密方法更受采用的安全意识形态。此外，