In most electricity theft detection schemes, consumers' power consumption data is directly input into the detection center. Although it is valid in detecting the theft of consumers, the privacy of all consumers is at risk unless the detection center is assumed to be trusted. In fact, it is impractical. Moreover, existing schemes may result in some security problems, such as the collusion attack due to the presence of a trusted third party, and malicious data tampering caused by the system operator (SO) being attacked. Aiming at the problems above, we propose a blockchain-based privacy-preserving electricity theft detection scheme without a third party. Specifically, the proposed scheme uses an improved functional encryption scheme to enable electricity theft detection and load monitoring while preserving consumers' privacy; distributed storage of consumers' data with blockchain to resolve security problems such as data tampering, etc. Meanwhile, we build a long short-term memory network (LSTM) model to perform higher accuracy for electricity theft detection. The proposed scheme is evaluated in a real environment, and the results show that it is more accurate in electricity theft detection within acceptable communication and computational overhead. Our system analysis demonstrates that the proposed scheme can resist various security attacks and preserve consumers' privacy.
翻译:在大多数电力失窃探测方案中,消费者的电力消费数据是直接输入检测中心的。虽然在发现消费者失窃方面是有效的,但所有消费者的隐私都处于危险之中,除非认为检测中心是可信的。事实上,这是不切实际的。此外,现有的计划还可能造成一些安全问题,例如,由于信任第三方的存在而发生的串通袭击,以及系统操作员(SO)受到袭击造成的恶意数据篡改等。针对上述问题,我们提议采用一个以街区为主的隐私保护系统,在没有第三方的情况下实施电盗探测计划。具体地说,拟议的计划使用改进的功能加密计划,以便在保护消费者隐私的同时,能够发现和监控电盗用和装载;用块链分散消费者的数据储存,以解决安全问题,例如数据篡改等。与此同时,我们建立了一个长期的短期记忆网络模型,以便更精确地探测电力失窃。在现实环境中对拟议的计划进行了评估,结果显示,在可接受的通信和计算间接费用中,电盗窃的探测更为准确。我们的系统分析表明,拟议的计划可以抵制各种安全攻击,并保护消费者的隐私。</s>