With the advancement in digital forensics, digital forensics has been evolved in Cloud computing. A common process of digital forensics mainly includes five steps: defining problem scenario, collection of the related data, investigation of the crime scenes, analysis of evidences and case documentation. The conduction of digital forensics in cloud results in several challenges, security, and privacy issues. In this paper, several digital forensics approaches in the context of IoT and cloud have been presented. The review focused on zone-based approach for IoT digital forensics where the forensics process is divided into three zones. Digital forensics in cloud provides the facilities of large data storage, computational capabilities and identification of criminal activities required for investigating forensics. We have presented a brief study on several issues and challenges raised in each phase of Cloud forensics process. The solution approaches as well as advancement prospects of cloud forensics have been described in the light of Blockchain technology. These studies will broaden the way to new researchers for better understanding and devising new ideas for combating the challenges.

The protocol diversities of mobile ad hoc have already got hold of the field to a peak of a matured and developed area. Still, the restraint of delay and bandwidth of mobile ad hoc network have kept a little room to draft a routing protocol for the pursuit of providing quality of service. In the paper, we proposed protocol namely Efficient Route Selection in Ad Hoc On-Demand Distance Vector Routing. We select the best path among multiple paths from source to destination using covariance and delay. We accomplish our implementation in NS3and it shows the more reliable path and less end to end delay than other counterpart protocols.