{'fraction_non_alphanumeric': 0.024923702950152594, 'fraction_numerical': 0.000508646998982706, 'mean_word_length': 5.449180327868852, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Cyber security in smart grid convolution networks (SGCNs)

There has been a growing spate of Cyber attacks targeted at different corporate enterprises and systems across the globe. The scope of these attacks spans from small scale (grid and control system manipulation, domestic meter cyber hacking etc) to large scale distributed denial of service attacks (DDoSA) in enterprise networks. The effect of hacking on control systems through distributed control systems (DCS) using communication protocols on vulnerable home area networks (HANs) and neighborhood area networks (NANs) is terrifying. To meet the current security requirements, a new security network is proposed called Smart grid convoluted network (SGCN). With SGCN, the basic activities of data processing, monitoring and query requests are implemented outside the grid using Fog computing layer-3 devices (gatekeepers). A cyber monitor agent that leverages a reliable end-to end-communication network to secure the systems components on the grid is employed. Cyber attacks which affects the computational requirements of SG applications is mitigated by using a Fourier predictive cyber monitor (FPCM). The network uses flexible resources with loopback services shared across the network. Serial parallelism and efficient bandwidth provisioning are used by the locally supported Fog nodes within the SG cloud space. For services differentiation, SGCN employed secure communication between its various micro-grids as well as its metering front-ends. With the simulated traffic payload extraction trend (STPET), SGCN promises hard time for hackers and malicious malwares. While the work guarantees security for SGs, reliability is still an open issue due to the complexity of SG architecture. In conclusion, the future of the Cyber security in SGs must employ the concept of Internet of Everything (IoE), Malware predictive analytics and Fog layers on existing SG prototypes for optimal security benefits.