Miner revenue optimization algorithm based on Pareto artificial bee colony in blockchain network

Abstract In order to improve the revenue of attacking mining pools and miners under block withholding attack, we propose miner optimization algorithm (MROA) based on Pareto artificial bee colony in blockchain network. MROA establishes model each pool entire attack with mathematical formulas such as selection, effective computing power, cost revenue. Then, solves by using modified method. Namely, employed operations include evaluation value calculation, selection probability crossover operation, mutation operation dominance method, can update food source. The onlooker confirmation crowding degree neighborhood find optimal source multidimensional space smaller distribution density. scout delete local that cannot produce new sources ensure diversity solutions. simulation results show no matter how number change, a reasonable work plan for pool, which increases minimum revenue, average solution, reduces spacing variance solution set. outperforms state arts ABC, NSGA2 MOPSO.