MaMIoT: Manipulation of Energy Market Leveraging High Wattage IoT Botnets
MaMIoT: Manipulation of Energy Market Leveraging High Wattage IoT Botnets
复制标题
MaMIoT：利用高功率物联网僵尸网络操纵能源市场
DOI：
10.1145/3460120.3484581
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Beyah, Raheem
中科院分区：
文献类型：
--
作者：
Shekari, Tohid;Irvene, Celine;Cardenas, Alvaro A.;Beyah, Raheem
如果一个交易员能比其他交易员更好地预测股票市场的价格变化，她就会发财。类似地，在电力市场中，能够预测电力负荷的变化从而预测电价的交易者将能够获得巨额利润。预测电力市场中的价格变化比其他市场参与者更好是困难的，但在本文中，我们表明，攻击者可以操纵电价在小，但可预测的方式，使他们在市场上的竞争优势。我们的攻击是可能的，当对手控制僵尸网络的高瓦数设备，如空调机组，这是能够突然改变电网的总需求。这种攻击被称为通过物联网操纵需求（MaDIoT）攻击。在本文中，我们提出了一种新的MaDIoT变体，并将其命名为通过物联网操纵市场（MaMIoT）。MaMIoT是第一个能源市场操纵网络攻击，利用高瓦数物联网僵尸网络略微改变电网的总需求，目的是影响电价，使其有利于特定的市场参与者。使用从两个主要能源市场获得的真实数据，我们表明MaMIoT可以显着增加特定市场参与者的利润，或者根据攻击者的动机对一组参与者造成经济损失。
If a trader could predict price changes in the stock market better than other traders, she would make a fortune. Similarly in the electricity market, a trader that could predict changes in the electricity load, and thus electricity prices, would be able to make large profits. Predicting price changes in the electricity market better than other market participants is hard, but in this paper, we show that attackers can manipulate the electricity prices in small but predictable ways, giving them a competitive advantage in the market.Our attack is possible when the adversary controls a botnet of high wattage devices such as air conditioning units, which are able to abruptly change the total demand of the power grid. Such attacks are called Manipulation of Demand via IoT (MaDIoT) attacks. In this paper, we present a new variant of MaDIoT and name it Manipulation of Market via IoT (MaMIoT). MaMIoT is the first energy market manipulation cyberattack that leverages high wattage IoT botnets to slightly change the total demand of the power grid with the aim of affecting the electricity prices in the favor of specific market players. Using real-world data obtained from two major energy markets, we show that MaMIoT can significantly increase the profit of particular market players or financially damage a group of players depending on the motivation of the attacker.
GAMS 中的电力系统优化建模
DOI：
--
发表时间：
2017
期刊：
影响因子：
--
作者：
Alireza Soroudi
通讯作者：
Alireza Soroudi
市场运作
DOI：
10.2307/j.ctvx8b739.12
发表时间：
2019
期刊：
Trading Caterpillar Fungus in Tibet
影响因子：
--
作者：
J. Kennedy
通讯作者：
J. Kennedy
基于物联网的输配电网络分布式网络攻击
DOI：
--
发表时间：
2017
期刊：
North American Power Symposium
影响因子：
--
作者：
Y. Dvorkin;S. Garg
通讯作者：
S. Garg