CRYPTO-ECONOMIC RESILIENCE OF A DECENTRALIZED NETWORK USING RANDOM TIME CHALLENGE TOKENS (RTCT)

Abstract

The paper presents a novel approach to enhancing the crypto-economic resilience of decentralized networks by employing a mechanism of Random Time Challenge Tokens (RTCT). Contemporary consensus mechanisms (Proof-of-Work, Proof-of-Stake, Proof-of-Burn) and their ability to deter 51% attacks and Sybil attacks are analyzed. It is shown that classical approaches secure the network by imposing substantial economic barriers to attackers – for example, miners are forced to invest in hardware and electricity, raising the cost of a 51% attack to a prohibitively high level. However, vulnerabilities remain: attackers can rent computational resources or exploit under-active validators. The proposed RTCT mechanism involves generating random cryptographic challenges at unpredictable time intervals, which network nodes must answer with a cryptographically verifiable token, followed by burning of that token. This process creates unpredictable load and continuous costs for network participants, significantly increasing the economic cost of attacks. The RTCT process is mathematically formalized and the dependence of attack cost on the challenge complexity parameter m is evaluated. The results confirm that as complexity m increases, an attack requires exponentially higher expenditures, making the network more resilient. The advantages and potential drawbacks of the RTCT approach are discussed, as well as possible directions for further research, including optimizing challenge frequency and integrating RTCT with existing consensus protocols.