Is semi‐selfish mining available without being detected?. Issue 12 (4th October 2021)

• Record Type: Journal Article
• Authors: Li, Tao; Wang, Zhaojie; Chen, Yuling; Li, Chunmei; Jia, Yanling; Yang, Yixian
• Is Part Of: International journal of intelligent systems. Volume 37:Issue 12(2022)
• Page Start: 10576
• Page End: 10597
• Publication Date: 2021-10-04
• Subjects: forking rate detection -- hidden Markov decision process -- selfish mining; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.22656
• Languages: English
• ISSNs: 0884-8173

Abstract

Abstract: Selfish mining attacks get a high prize due to the additional rewards unproportionate to their mining power (mining pools have particular advantages). Generally, this category of attacks stresses decreasing the threshold to maximize the rewards toward the view of attackers. Semi‐selfish mining falls into the family of selfish mining attacks, where the threshold value is approximately 15%. However, it gets little attention to implement these attacks in practical. In this paper, we focus on the validity of semi‐selfish mining attacks considering the probability of being detected. More specifically, we discuss mining strategies through backward deduction. That is to say that the attacking states derived from the observable states, which with normal forking rate, just as without semi‐selfish mining attacks, toward the view of the honest miners. Rewards distribution is further investigated concerning these strategies. The simulation results indicate that it does not necessarily bring rewards advantage over large pools. Instead, the small pools have an advantage over the additional rewards. However, the probability for small pools to successfully implement these strategies is pretty low. That is, it is impossible for the pools, although profitable for them, to sponsor semi‐selfish mining attacks without being detected.