Internet of Things (IoT) is a rapidly developing technology that enables "devices" to communicate and share information amongst them without human control. The devices have the features of internet connectivity and networking. Due to the increasing demands of a secure environment in IoT application, security has become a crucial aspect on which researchers have been increasingly focused. Connecting devices to the internet can facilitate intruders to attack devices as they can access the data from anywhere in the globe. In this work, an encryption-decryption process-based stream cipher has been used. The messages between IoT nodes were encrypted using One Time Pad (OTP) and DNA computing. Furthermore, the required key sequence was generated using a linear feedback shift register (LFSR) as a pseudo number key generator. This key sequence was combined to generate a unique key for each message. The algorithm was implemented using source python and tested on a Raspberry pi under Linux open operation system.
The Internet of Things (IoT) is one of the most important modern technologies that have attracted the most interesting areas of life, whether industrial, academic, or other, in recent years. The main goal is to integrate the physical world with the digital world through a seamless ecosystem, and this constitutes a new era for the Internet. This technology provides high commercial value to enterprises as it provides many opportunities in many applications such as energy, health, and other sectors. However, this technology suffers from many security problems, as it is considered the biggest challenge due to its complex environment and the limited resources of its devices. There is a lot of research to find successful security solutions in IoT, in this research, a proposed solution to secure IoT systems using Advanced Encryption Standard (AES) technology is achieved. Some sensors were linked as an example of the Internet of Things. The data is received by the card created and developed by Espressif Systems (ESP32) module, where its encrypted then sends to the internet site through an authorized person to be received from anywhere, and it is also possible to receive it via a published IP which is announced within the internal network of the ESP32 device module. The decryption part is proposed at last to find out the true values of the sensors. The proposed approach shows good secured and balanced results at the end
The congestion of road traffic is one of the most problems facing the ambulance transportation to provide fast healthcare service for patient. In this work, ambulance tracking with messages transfer system has been designed and implemented such that a central monitoring and tracking unit can observe ambulance using MQTT IoT protocol. Where each vehicle is occupied with an intelligent embedded system (Raspberry Pi) unit. When an ambulance is being in the road, it will communicate with other vehicle or road traffic by means of CoAP IoT protocol as a direct device to device communication. The proposed system has been designed such that driver use voice chat and the system are completely hand free. The voice message is being transfer into text by using speech recognition based Google API library, and then the received text message is converted again to speech by using text to speech algorithm. An encryption–decryption process-based stream cipher has been used. The message between IoT nodes has been encrypted using One Time Pad (OTP) and DNA computing. Furthermore, the required key sequence was generated using a linear feedback shift register (LFSR) as a pseudo number key generator. This key sequence was combined to generate a unique key for each message.
Water treatment monitoring systems are presently divided into manual and dynamic systems. Due to, the constant changes in water, either due to seasonal changes in water chemistry or due to the operative conditions of the industrial environment, the dynamic systems have to be utilized by the water manufacturers. However, water is very beneficial for life and human health, therefore to reduce the endangerment of pollution, by improving and increasing the plant operation in addition to production. This paper suggests a new technique for water factory manufacturers by adopting wireless sensor nodes. The monitor node connected with a microcontroller device using Esp32 as transmitter and receiver nodes. The node sends its statues over the wireless network utilizing a defined internet protocol (IP). The proposed system shows its effectiveness in water monitoring systems through synchronous water monitoring and simple configuration compared to traditional systems.
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