This paper presents the design, simulation, and analytical modeling of the single proposed axis MEMSbased capacitive accelerometer. Analytical modeling has been done for frequency and displacement sensitivity. The performance of the accelerometer was tested for both static and dynamic conditions, and the corresponding static capacitance value was calculated and was found to be C0=0.730455pF, a response time of 95.17{\mu}s, and settling time of 7.261ms and the displacement sensitivity Sd= 3.5362* m/g. It was observed that the sensitivity of the accelerometer depends on its design parameters like beam length, overlap area of comb, sensing mass, and the number of interdigital fingers. A novel capacitive accelerometer has been designed for an operating frequency of 2.1kHz The accelerometer was designed using COMSOL Multiphysics and analyzed using the MATLAB simulator tool. The single proposed axis MEMS-based capacitive accelerometer is suitable for automobile applications such as airbag deployment and navigation.

With the advent of Internet of Things (IoT) and the increasing use of application-based processors, security infrastructure needs to be examined on some widely-used IoT hardware architectures. Applications in today's world are moving towards IoT concepts as this makes them fast, efficient, modular and future-proof. However, this leads to a greater security risk as IoT devices thrive in an ecosystem of co-existence and interconnection. As a result of these security risks, it is of utmost importance to test the existing cryptographic ciphers on such devices and determine if they are viable in terms of swiftness of execution time and memory consumption efficiency. It is also important to determine if there is a requirement to develop new lightweight cryptographic ciphers for these devices. This paper hopes to accomplish the above-mentioned objective by testing various encryption-decryption techniques on different IoT based devices and creating a comparison of execution speeds between these devices for a variety of different data sizes. Keywords-Internet of things(IoT), application-based processors, security, encryption-decryption, speed, efficiency