Security aspects in Smart Meters: Analysis and Prevention

• URL: http://arxiv.org/abs/2312.08101v1
• Date: Wed, 13 Dec 2023 12:36:03 GMT
• Title: Security aspects in Smart Meters: Analysis and Prevention
• Authors: Rebeca P. Díaz Redondo, Ana Fernández Vilas, Gabriel Fernández dos Reis,
• Abstract summary: We focus on an open solution based on Smartpi 2.0 devices with two purposes. On the one hand, we propose a network configuration and different data flows to exchange data (energy readings) in the home. On the other hand, we check the vulnerability by performing two kind of attacks (denial of service and stealing and changing data by using a malware)
• Score: 2.6217304977339464
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Smart meters are of the basic elements in the so-called Smart Grid. These devices, connected to the Internet, keep bidirectional communication with other devices in the Smart Grid structure to allow remote readings and maintenance. As any other device connected to a network, smart meters become vulnerable to attacks with different purposes, like stealing data or altering readings. Nowadays, it is becoming more and more popular to buy and plug-and-play smart meters, additionally to those installed by the energy providers, to directly monitor the energy consumption at home. This option inherently entails security risks that are under the responsibility of householders. In this paper, we focus on an open solution based on Smartpi 2.0 devices with two purposes. On the one hand, we propose a network configuration and different data flows to exchange data (energy readings) in the home. These flows are designed to support collaborative among the devices in order to prevent external attacks and attempts of corrupting the data. On the other hand, we check the vulnerability by performing two kind of attacks (denial of service and stealing and changing data by using a malware). We conclude that, as expected, these devices are vulnerable to these attacks, but we provide mechanisms to detect both of them and to solve, by applying cooperation techniques

Related papers

• GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction [53.2306792009435]
  We propose GAN-GRID a novel adversarial attack targeting the stability prediction system of a smart grid tailored to real-world constraints. Our findings reveal that an adversary armed solely with the stability model's output, devoid of data or model knowledge, can craft data classified as stable with an Attack Success Rate (ASR) of 0.99.
  arXiv  Detail & Related papers  (2024-05-20T14:43:46Z)
• Detection of Energy Consumption Cyber Attacks on Smart Devices [1.515687944002438]
  This paper presents a lightweight technique for detecting energy consumption attacks on smart home devices by analyzing received packets. It accounts for resource constraints and promptly alerts administrators upon detecting an attack.
  arXiv  Detail & Related papers  (2024-04-30T10:29:25Z)
• FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids [53.2306792009435]
  FaultGuard is the first framework for fault type and zone classification resilient to adversarial attacks. We propose a low-complexity fault prediction model and an online adversarial training technique to enhance robustness. Our model outclasses the state-of-the-art for resilient fault prediction benchmarking, with an accuracy of up to 0.958.
  arXiv  Detail & Related papers  (2024-03-26T08:51:23Z)
• Is Your Kettle Smarter Than a Hacker? A Scalable Tool for Assessing Replay Attack Vulnerabilities on Consumer IoT Devices [1.5612101323427952]
  ENISA and NIST security guidelines emphasize the importance of enabling default local communication for safety and reliability. We propose a tool, named REPLIOT, able to test whether a replay attack is successful or not, without prior knowledge of the target devices. We find that 75% of the remaining devices are vulnerable to replay attacks with REPLIOT having a detection accuracy of 0.98-1.
  arXiv  Detail & Related papers  (2024-01-22T18:24:41Z)
• DynamiQS: Quantum Secure Authentication for Dynamic Charging of Electric Vehicles [61.394095512765304]
  Dynamic Wireless Power Transfer (DWPT) is a novel technology that allows charging an electric vehicle while driving. Recent advancements in quantum computing jeopardize classical public key cryptography. We propose DynamiQS, the first post-quantum secure authentication protocol for dynamic wireless charging.
  arXiv  Detail & Related papers  (2023-12-20T09:40:45Z)
• A high throughput Intrusion Detection System (IDS) to enhance the security of data transmission among research centers [39.65647745132031]
  This paper presents a packet sniffer that was designed using a commercial FPGA development board. The system can support a data throughput of 10 Gbit/s with preliminary results showing that the speed of data transmission can be reliably extended to 100 Gbit/s. It is particularly suited for the security of universities and research centers, where point-to-point network connections are dominant.
  arXiv  Detail & Related papers  (2023-11-10T14:30:00Z)
• TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports [13.49717874638757]
  Digital Twin (DT) technology can be employed to increase the complexity and simulation fidelity of the honeypots. We propose a DT-assisted honeypot, called TwinPot, for external attacks in smart seaports. We show that our solution successfully detects internal and external attacks.
  arXiv  Detail & Related papers  (2023-10-19T16:35:28Z)
• A Review On Game Theory With Smart Grid Security [0.0]
  Game theory provides effective insights in the analysis of security measures for smart grid. The mentioned parties will be the players in the game model to provide a solution for the various threats to the grid aspects.
  arXiv  Detail & Related papers  (2023-04-23T20:06:18Z)
• CAN-LOC: Spoofing Detection and Physical Intrusion Localization on an In-Vehicle CAN Bus Based on Deep Features of Voltage Signals [48.813942331065206]
  We propose a security hardening system for in-vehicle networks. The proposed system includes two mechanisms that process deep features extracted from voltage signals measured on the CAN bus.
  arXiv  Detail & Related papers  (2021-06-15T06:12:33Z)
• The Dark (and Bright) Side of IoT: Attacks and Countermeasures for Identifying Smart Home Devices and Services [4.568911586155096]
  We build up a model describing the traffic patterns characterizing three popular IoT smart home devices. We prove that it is possible to detect and identify with overwhelming probability their presence and the services running by the aforementioned devices.
  arXiv  Detail & Related papers  (2020-09-16T13:28:59Z)
• Smart Home, security concerns of IoT [91.3755431537592]
  The IoT (Internet of Things) has become widely popular in the domestic environments. People are renewing their homes into smart homes; however, the privacy concerns of owning many Internet connected devices with always-on environmental sensors remain insufficiently addressed. Default and weak passwords, cheap materials and hardware, and unencrypted communication are identified as the principal threats and vulnerabilities of IoT devices.
  arXiv  Detail & Related papers  (2020-07-06T10:36:11Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.