  Conflicting transactions within blockchain networks not only pose performance
challenges but also introduce security vulnerabilities, potentially
facilitating malicious attacks. In this paper, we explore the impact of
conflicting transactions on blockchain attack vectors. Through modeling and
simulation, we delve into the dynamics of four pivotal attacks - block
withholding, double spending, balance, and distributed denial of service
(DDoS), all orchestrated using conflicting transactions. Our analysis not only
focuses on the mechanisms through which these attacks exploit transaction
conflicts but also underscores their potential impact on the integrity and
reliability of blockchain networks. Additionally, we propose a set of
countermeasures for mitigating these attacks. Through implementation and
evaluation, we show their effectiveness in lowering attack rates and enhancing
overall network performance seamlessly, without introducing additional
overhead. Our findings emphasize the critical importance of actively managing
conflicting transactions to reinforce blockchain security and performance.
