Recently, researchers have noticed a wide adoption of Software Defined Networks (SDN) in various networks and applications. The SDN is considered as an intended technology to offer network communication, data analysis, and data security issues, especially in the context of the internet of things, Vehicular ad-hoc networks, and so on. Most of the existing works on data security using SDN integrated with blockchain technology, and deep learning models have a minimal number of contributions. The SDN can provide security support as it allows the network devices to maintain data flow tables and determine the root causes of various communication and security issues. Along with the flow table storage, it can offer various support in the form of centralized control. However, the centralized control of SDN needs to maintain the network devices at a central point, and it opens the network communication to security breaches and failure due to a single point concept. The proposal in SDN offers different research ideas in various aspects like routing, communication security, data privacy, and application-specific requirements, along with various techniques such as deep learning models and blockchain technology.