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Sensors with IoT assistance provides secured communication and data integrity inside HAN. Energy reading and information flow from the smart grid, together with sensors, bring about a new perspective on energy management. This paper primarily investigates the secured data flow in HAN and assures data privacy of customers during critical and emergency operations. Data are made available in real time with minimum transit time delay. Devices are continuously monitored for vital and emergency services. This paper focuses on machine to machine data flow and packet delivery using IoT. It helps in making user's power consumption data available over the cloud and also in customised electronic devices in real-time. This research work showcases the requirements for developing a cost-effective IoT-HAN connected with smart grid for energy aware routing. The advanced design scheme helps to place sensors, and control gateway in a well-defined boundary, consuming less energy for data transfer and data processing. Data flow pattern and packet delivery rate is tested using both simulated and actual data from sensors and concentrators. The obtained results and flow pattern is evaluated using MATLAB and network simulator. The developed IoT-HAN setup is optimally helpful in secured data exchange among different connected devices inside HAN.

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Data security in the cloud has become a dominant topic being discussed in recent times as the security of data in the cloud has been focused on by several researchers. However, the data security was enforced at the attribute level, the adversaries are capable of learning the method of data encryption even there are access restrictions are enforced at an attribute level. To challenge the adversaries with more sophisticated security measures, an efficient real-time service-centric feature sensitivity analysis (RSFSA) model is proposed in this paper. The RSFSA model analyses the sensitivity of different features being accessed by any service and at multiple levels. At each level, the method checks the set of features being accessed and the number of features the user has access grant to compute the FLAG value for the user according to the profile given. Based on the value of FLAG, the user has been granted or denied service access. On the other side, the method maintains different encryption schemes and keys for each level of features. As the features are organized in multiple levels, the method maintains a set of schemes and keys for each level dedicative. Based on the service level and data, the method selects an encryption scheme and key to perform data encryption. According to that, the service access data has been encrypted at the attribute level with a specific scheme and key. Data encrypted has been uploaded to the blockchain and the method modifies the reference part of the chain to connect only the blocks to which the user has access. The chain given to the user would do not contain any reference from a specific block to which the user has no access. The proposed method improves the performance of data security and access restriction greatly.