In today’s dynamic cybersecurity landscape, enter-
prises face constant and evolving threats from Advanced Per-
sistent Threats (APTs). Protecting crucial assets and data from
these sophisticated attackers requires robust security solutions.
Blockchain technology has emerged as a promising avenue due
to its immutable ledger and decentralized nature. However,
scaling a blockchain-based Intrusion Detection and Prevention
System (IDPS) presents challenges, especially when safeguarding
large-scale networks. This addresses a significant gap in the
field of IDPS powered by blockchain, focusing on the critical
issue of scalability. The study explores potential solutions to
scale blockchain-based IDPS effectively. One promising approach
investigated in depth is the concept of ”sharding”. Sharding
involves dividing the blockchain network into smaller, indepen-
dent parts known as ”shards.”By implementing sharding, the
blockchain system can process numerous transactions simulta-
neously across various shards. This innovative technique holds
the potential to significantly enhance scalability in blockchain-
based IDPS. The inherent parallelization enabled by sharding
can lead to a substantial improvement in the system’s ability to
handle a large volume of transactions and data, thereby fortifying
the security infrastructure against APTs. it also contributes to
the growing body of knowledge on blockchain applications in
cybersecurity by shedding light on the scalability challenges of
IDPS. The findings provide valuable insights for practitioners and
researchers seeking effective solutions to bolster cybersecurity
defenses against APTs in the era of blockchain technology