advancements in areas such as blockchain and digital
signatures.
3 RESULT AND DISCUSSION
These cryptographic technologies have significant
advantages in ensuring blockchain's decentralization,
security, and data integrity. Compared to traditional
centralized data storage and verification methods,
blockchain achieves thrustless transaction
verification and data sharing through encryption
techniques, eliminating the dependence on third-party
intermediaries, reducing operational costs, and
improving efficiency. Additionally, hash functions
ensure data immutability, thereby achieving a high
level of data reliability. Meanwhile, public-key
cryptography provides robust security for user
authentication and data transmission, preventing
unauthorized access. These advantages make
blockchain a dependable solution that boosts
transparency and security in decentralized networks,
making it applicable to a range of areas, including
finance, supply chain management, healthcare, and
digital identity verification, showcasing its significant
potential for diverse applications.
However, these encryption methods may face the
issue of high computational complexity in blockchain
applications. When processing a large number of
transactions, the decryption and signature verification
processes can result in significant computational
overhead, thereby affecting the overall system
performance. This computational overhead is
particularly prominent in large blockchain networks
such as Bitcoin and Ethereum, leading to slower
transaction confirmation speeds that cannot meet the
demands of high-frequency transactions. Moreover,
as the scale of the blockchain expands, hash functions
may face the risk of collision attacks, where attackers
could tamper with data by identifying different inputs
that yield the same hash value. More importantly, the
rapid advancement of quantum computing presents a
potential challenge to current encryption techniques,
as many conventional algorithms could become
ineffective in a quantum computing environment,
thereby compromising blockchain security. These
issues highlight that performance, scalability, and
security in existing encryption technologies still have
room for improvement, necessitating further research
and optimization.
Looking ahead, future research can focus on the
following aspects. Firstly, to address the
computational complexity issue of public-key
cryptography, more efficient encryption algorithms
can be further explored, such as improved methods
based on ECC to reduce computational resource
consumption and improve transaction processing
speed. Additionally, the application of hybrid
encryption techniques, which combine symmetric
and asymmetric encryption, is worth exploring to
achieve more efficient encryption and decryption
processes. Secondly, in terms of the security of hash
functions, researchers can investigate quantum-
resistant encryption techniques, such as lattice-based
cryptography or other post-quantum cryptographic
approaches, to ensure that blockchain remains
protected in the age of quantum computing. In terms
of hash algorithms, developing more collision-
resistant hash functions or improving existing hash
algorithms can enhance data integrity and anti-
tampering capabilities. Furthermore, privacy-
preserving technologies like ZKPs deserve further
research and application, as they can enhance
blockchain privacy in handling sensitive data,
allowing users to complete identity verification and
transaction confirmation without exposing sensitive
information.
4 CONCLUSIONS
This paper analyzed encryption technology within
blockchain, focusing primarily on public-key
cryptography and hash functions. The study explored
the critical roles these cryptographic methods play in
ensuring data security, integrity, and privacy in
blockchain systems. It highlighted how public-key
cryptography facilitates secure data transmission and
user authentication, while hash functions preserve
data immutability. Extensive research and analysis
revealed that, despite their benefits, these encryption
methods encounter challenges, including high
computational complexity, vulnerability to collision
attacks, and potential threats posed by quantum
computing. Evaluations demonstrated that current
encryption technologies exhibit limitations in
scalability, efficiency, and resilience against quantum
threats. Future research will prioritize the
development of more efficient encryption algorithms,
particularly enhanced ECC-based methods, as well as
the exploration of quantum-resistant encryption
techniques. Furthermore, integrating privacy-
preserving technologies, such as ZKPs, and
optimizing blockchain scalability through strategies
like sharding and sidechains will be essential areas for
further investigation. As research advances, the
performance and security of blockchain encryption
technologies are expected to improve, allowing them