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With the increase in the number of Internet of Things (IoT) applications, the reliance on robust networking, reliable communications, and efficient and secure data storage is increasing day by day. Many of these applications such as cellular communications, transportation networks and Internet of Medical Things generate huge volumes of data that need to be stored and analyzed to generate insights and make decisions related to applications. Security of data storage is a paramount concern, particularly in the current cyber security threat landscape. It is important to design novel techniques and algorithms to protect the data against these upcoming attacks. This paper provides a brief overview of security challenges faced by the data storage mechanisms. In comparison to the existing review papers in this area, the work in this paper identifies three major security techniques for data storage and conducts a comprehensive review of the recent advancements related to these techniques. These techniques include Blockchain algorithms, encryption mechanisms, and deduplication algorithms for data storage. Finally, the work highlights future opportunities and challenges related to secure data storage in future networks. |
