# Business Impact Analysis of AMM Data: A Case Study
###### Abstract  
The issue of Automated Meter Management (AMM), an integral part of modern energy smart grid systems, has become a hot topic in recent years. With the current energy crisis, and given the new approaches to smart energy and its regulation, implemented at the level of the European Union, the gradual introduction of AMM as a standard for the regulation and management of the distribution system is an absolute necessity. Modern smart grids incorporate elements of smart regulation that rely heavily on the availability and quality of the data generated or used during AMM as part of the smart grid. In this paper, based on an analytical view of AMM as a whole and guided interviews with the sponsors of each service and owners of each dataset, criteria are proposed and a Business Impact Analysis (BIA) is implemented, the results of which are used to determine security measures for the safe and reliable running of the AMM system. This paper offers a unique view of the AMM system as an integral part of modern smart grid networks from a data-driven perspective that enables the subsequent implementation and fulfillment of security requirements by ISO/IEC 27001 and national security standards, as the AMM system is also a critical information system under the EU directive regarding the cybersecurity of network and information systems, which are subject to newly defined security requirements in the field of cybersecurity. security AMM; intelligent control; industrial security management; ISO 27001:2023; BIA; smart systems; cyber security in smart grids; smart metering; data privacy in smart grids +
Footnote †: journal:  
0000-0002-4000-0000-0000-0000-00000-0000-0000-0000-0000  
In smart grids, blockchain integration is often considered to offer greater security and reliability in various sectors. Robust prevention and detection mechanisms are essential for protecting these networks from cyber threats. Here, we present a brief overview of the key strategies used to prevent and detect cybersecurity breaches in these advanced systems. This involves preventing cybersecurity breaches in the area of blockchain-based authentication, which enables the use of decentralized identity management and blockchain cryptographic mechanisms to achieve secure user authentication and access control. This prevents unauthorized access to critical network components. Furthermore, it is necessary to ensure the security of smart contracts on the blockchain, with rigorous code reviews and auditing processes being implemented to ensure the security of smart contracts deployed on the blockchain. Eliminating vulnerabilities in smart contracts prevents the occurrence of potential exploits and breaches. Encrypting these communications is essential, and is most often achieved by deploying end-to-end encryption protocols to secure communication channels between network components, ensuring data confidentiality and integrity. With respect to process-technical approaches, regular software updates are required to remove known vulnerabilities and fix potential entry points for cyber attackers. Appropriate multi-factor authentication (MFA) techniques combine passwords with other authentication factors, such as biometrics or tokens, in order to strengthen user authentication and prevent unauthorized access. Topologically, the focus is on network segmentation: by dividing the network into secure segments, we limit access to sensitive areas and limit the damage an attacker can cause. The final component is thus the security audits themselves. Another prong is cybersecurity intrusion detection, which uses intrusion detection systems (IDS) to monitor network traffic and identify suspicious activity or anomalies that are indicative of potential cyber-attacks. Next are behavior analysis systems, which use machine learning algorithms to analyze user and device behavior and detect deviations from normal patterns that could indicate a breach.