This paper presents an efficient mechanism for secured encryption of intraoral information in the emerging field of Teledental. Due to global rapid surge in the (Coronavirus Disease) COVID patients, the services of Teledental are best suited in the newer post-COVID era. A devised perceptron has been intelligently embedded with de-multiplexing ability to transmit data to the dentists has been proposed. Exact session key has been developed through learning rules applied on the perceptrons by both the patient and dentist. For simplicity, gingivitis data is highly recommended to transmit in a highly secured manner with patients’ data integrity. Gingivitis is an important dental disease which is primarily caused by the bacterial colonization. It shows gum bleeding and inflammations in the gingiva. Encrypted transmission is required to the Dentist for early diagnosis and treatment in Teledental system in this pandemic context. Gingivitis data are then broken into parts by the demultiplexer followed by individual proposed header generation. It is predominantly done to confuse the intruders about the originality of the intraoral data. Chi-square, Avalanche, Strict Avalanche, etc. were carried on the proposed partial shares to generate good outcomes when compared to classical algorithms. To confuse the intruders, character frequency, floating frequency, and autocorrelation were tested extensively. It is a newer approach to avail the secured Teledental features in post-COVID time.

本文提出了一种在 Teledental 新兴领域中对口内信息进行安全加密的有效机制。由于（冠状病毒病）COVID 患者在全球范围内迅速增加，Teledental 的服务最适合新的后 COVID 时代。已经提出了一种设计的感知器智能地嵌入了解复用能力以将数据传输给牙医。精确的会话密钥是通过患者和牙医在感知器上应用的学习规则开发的。为简单起见，强烈建议以高度安全的方式传输牙龈炎数据，同时保证患者数据的完整性。牙龈炎是一种重要的口腔疾病，主要由细菌定植引起。它显示牙龈出血和炎症。在这种大流行的情况下，牙医需要加密传输，以便在 Teledental 系统中进行早期诊断和治疗。然后由解复用器将牙龈炎数据分解为多个部分，然后生成单独的建议标头。这样做主要是为了让入侵者对口内数据的原创性感到困惑。与经典算法相比，对提议的部分份额进行卡方、雪崩、严格雪崩等，以产生良好的结果。为了迷惑入侵者，我们对字符频率、浮动频率和自相关进行了广泛的测试。这是在后 COVID 时代利用安全 Teledental 功能的新方法。然后由解复用器将牙龈炎数据分解为多个部分，然后生成单独的建议标头。这样做主要是为了让入侵者对口内数据的原创性感到困惑。与经典算法相比，对提议的部分份额进行卡方、雪崩、严格雪崩等，以产生良好的结果。为了迷惑入侵者，我们对字符频率、浮动频率和自相关进行了广泛的测试。这是在后 COVID 时代利用安全 Teledental 功能的新方法。然后由解复用器将牙龈炎数据分解为多个部分，然后生成单独的建议标头。这样做主要是为了让入侵者对口内数据的原创性感到困惑。与经典算法相比，对提议的部分份额进行卡方、雪崩、严格雪崩等，以产生良好的结果。为了迷惑入侵者，我们对字符频率、浮动频率和自相关进行了广泛的测试。这是在后 COVID 时代利用安全 Teledental 功能的新方法。字符频率、浮动频率和自相关进行了广泛的测试。这是在后 COVID 时代利用安全 Teledental 功能的新方法。字符频率、浮动频率和自相关进行了广泛的测试。这是在后 COVID 时代利用安全 Teledental 功能的新方法。