Fog computing is a decentralized computing architecture that provides advantages over typical cloud computing, including higher security, dependability, and lower latency. Due to the growth of the Internet of Things, it is growing in popularity, but it also brings with it new technological and security challenges. Due to their frequent usage and resource constraints, fog nodes are vulnerable to malware and other security risks. Fog computing security research has to be done more, and the survey focuses on these technological challenges. Similar to traditional data centers, fog computing presents security and privacy problems, but it is appropriate for a range of Internet of Things services. Fog computing poses special opportunities and challenges for protecting data security and privacy because of its distributed architecture and edge computing capabilities. In order to effectively address these challenges, this paper examines the significance of improving data privacy and security in fog computing environments and talks about a number of different strategies, technologies, and approaches. By means of an extensive examination of extant literature, case studies, and practical applications, the objective of this study is to offer insights into the present condition of data privacy and security in fog computing and suggest improvements for protecting mechanisms.