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TopDecision-makers in an organization benefit from situational awareness (SA) when they have the information and insight to make sound decisions (Pham et al.2020). It might be targeted at helping individuals and organizations safeguard their digital assets, or it can have a broader scope (Gao et al.2020). A network's structure and content as they truly are may not match what people think they are in terms of situational awareness in the network (Yasin et al.2019). Having situational awareness (SA) can help an organization's decision-makers make better decisions in SDN. It could be aimed at helping people and organizations protect their digital assets, or it could be more general using blockchain. Network situational awareness may not complement what people think due to inconsistencies in network structure and content in smart communities. Situational awareness is the ability to see and understand environmental elements or occurrences in a specific moment (Körner et al.2019), as well as to project their prospective status based on that observation (Manogaran et al., 2018). The updating of SA states and what governs the beginning changes are covered by SA processes (Nikoloudakis et al., 2021). Securing the IoT technology devices and the infrastructure to which they are connected is IoT privacy (Erpek et al.2020). Economic machinery, smart power systems, factory automation, and personal IoT gadgets people carry to work are samples of Internet-connected devices utilized in the workplace (Elgendy et al.2020). Secure hardware, software, and connection are essential requirements for Internet of Things devices to function properly (Jan et al.2020). The Internet of Things is difficult if it is not protected from hackers (Biondi et al., 2019).
This includes everything from appliances to factory robots, such that hackers can then control the object's performance and extract intellectual data from the user (Gunasekaran et al., 2018). Most IoT application data security potential is removed from insecure connectivity and storage (Belkadi et al.2020). Compromise in the Internet of Things by gadgets can access private data, causing major security problems. (Shakeel et al.2018). Smart surveillance cameras, vehicle trackers, ship or cargo trackers, and industrial machinery sensors are a few examples of many businesses' uses for the Internet of Things (Ranjan et al.2020). The scalability in IoT refers to a device's ability to adapt to changing conditions and fulfill future demands (Gao et al.2020). Selling, customer support, internal documents, and document sharing all benefit from SDN's improved network connectivity. Businesses can use a wide variety of software and equipment from blockchain vendors to create customized network public infrastructure, which is considered a feature need. Itis a must-have feature for any system that wants to keep up with the increasing workload (Sundararajan et al., 2019). For all the methods and techniques used to protect data or analytics against threats, stealing, or other malicious acts that could hurt or adversely impact them, “big data security” is the phrase used (Abdel-Basset et al., 2019). As a result, the security of big data implementations is always a source of concern (Schnedler et al., 2020). Artificial intelligence can be applied to spotting cyber dangers and potentially dangerous activity in SDN, inappropriate control of access, an attack surface that is far too large software that is too old. This includes a lack of security measures such as encrypted communications, application flaws, and a lack of a trusted execution environment. The level of security provided by the vendor Not enough privacy safeguards in place are the security flaws in IoT.