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.

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The popularity of social media has exploded worldwide over the last few decades and becomes the most preferred mode of social interaction. The internet also provides a new platform through which adolescents are being bullied. Appropriate means of cyberbullying detection is still partial and in some cases very limited. Moreover, research on cyberbullying detection extensively focuses on surveys and its psychological impacts on victims. However, prevention has not been widely addressed. To bridge the gap, this paper aims to detect cyberbullying efficiently. This paper employs a standard machine learning method and natural language processing technique as a part of the detection process in decentralized Blockchain leveraged architecture. We provide a fog based architecture for cyberbullying detection, aiming at relieving the server's load by placing the detection and the prevention of cyberbullying processes at the fog layer. The proposal might offer a probable solution to save users, particularly adolescents from severe consequences of cyberbullying.

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