轻量级多用户可验证隐私保护基因序列分析方案.pdf
计算机研究与发展DOI：10.7544/issn1000-1239.202440453
Journal
of
Computer
Research
and
Development61（10）：2448−2466，2024
轻量级多用户可验证隐私保护基因序列分析方案
胡云舒周俊曹珍富董晓蕾
（华东师范大学软件工程学院
密码与网络安全系上海200062）
（hysss1136@）
LightweightMulti-UserVerifiablePrivacy-PreservingGeneSequenceAnalysis
Scheme
Hu
Yunshu,
Zhou
Jun,
Cao
Zhenfu,
and
Dong
Xiaolei
（DepartmentofCryptographyandNetworkSecurity,SoftEngineeringInstitute,EastChinaNormalUniversity,Shanghai200062）
AbstractAs
the
development
of
the
emerging
areas
of
network
services
such
as
big
data
and
cloud
computing,
data
element
has
played
an
increasingly
critical
role
in
the
fields
of
intelligent
e-health
and
scientific
research.
Gene
sequencing
technology
is
widely
used
in
many
fields
to
determine
the
cause
and
category
of
a
patient’s
disease,
by
processing
the
patient’s
gene
sequence.
Due
to
constrained
storage
and
computing
resources,
local
users
often
need
to
rent
resource-abundant
cloud
servers,
unfortunately
always
working
in
untrusted
environments,
to
fulfill
the
computationally-intensive
task
of
large-scale
gene
sequencing
function
evaluation.
To
guarantee
users’
data
privacy
and
the
correctness
of
computing
results,
most
of
the
state-of-the-art
methods
exploit
the
techniques
of
public
key
fully
homomorphic
encryption
and
secure
multiparty
computation
to
achieve
data
privacy,
and
the
technique
of
Yao’s
garbled
circuit
or
bilinear
paring
to
achieve
correctness
verification.
Owing
to
the
fact
that
huge
computational
overhead
and
communication
overhead
are
required
in
the
cryptographic
primitives
mentioned
above,
they
are
inappropriate
for
efficiency
nee