Nowadays, as transportation is increasing day by day and the probability of occurance of it in future is also very high. There are so many people travel an hours together every day, due to lack of rest the driver may feel tired or drowsy and may fall asleep. This may lead to several highway calamities causing to severe injuries, loss of human life etc. So solve this issue we propose a driver drowsiness monitoring system that helps in avoiding major accidents. The proposed method detects the status of the driver of the vehicle using the Eye Aspect Ratio (EAR) and Mouth Opening Ratio (MOR) techniques. The developed system includes a Pi camera, Raspberry Pi module and is used to detect and analyze continuously the eye closure status in real-time. When drowsiness is detected buzzer sound will alert the driver which significantly helps in reducing the percentage of highway calamities by alerting.

The amount of data that is transmitted across the internet is continuously increasing. With the transmission of this huge volume of data, the need of an encryption algorithm that guarantees the data transmission speedily and in a secure manner is a must. Hence, to achieve security in wireless networks, cryptography plays a very important role. In this paper, several hybrid combinations, which combines both symmetric and asymmetric cryptographic techniques to offer high security with minimum key maintenance is presented. This hybrid combination offers several cryptographic primitives such as integrity, confidentiality and authentication, thereby enhancing the security. Various combinations of Advanced Encryption Standard (AES), Elliptical Curve Cryptography (ECC) and Rivest, Shamir and Adleman (RSA) algorithms are used to provide hybrid encryption. Secure Hash Algorithm (SHA-256) is also used to provide authentication and integrity. The experimental results show that the proposed hybrid combinations gives better performance in terms of computation time compared to individual cryptographic schemes.