Metaverses
are
virtual
worlds
where
users
can
engage
in
social
exchanges,
collaborate,
or
play
games.
Their
clients
now
JavaScript
programs
that
run
inside
modern
web
browsers.
They
implement
functionalities
typical
of
multiplayer
video
games,
like
3D
and
physics
engines,
requiring
them
to
maintain
complex
data
structures
objects
the
browser's
memory.
Unfortunately,
these
be
accessed
manipulated
by
malicious
users,
allowing
learn
about
events
beyond
ones
rendered
on
screen
hijack
metaverse
spy
other
users.In
this
paper,
we
propose
one
first
comprehensive
security
assessments
for
platforms.
We
begin
with
a
survey
selection
three
platforms
introduce
software-centric
threat
modeling
approach
designed
identify
security-relevant
entities.
Then,
global
object
snapshot
diffing
technique
in-memory
correlated
attribute
design
10
attacks,
which
eight
successfully
executed
against
at
least
metaverses,
enabling
user
perform
audio/video
surveillance
continuous
position
tracking
-
mention
few
who
could
exacerbate
current
threats
posed
stalkers
online
abusers.
Finally,
discuss
implications
our
attacks
should
become
business
tool
possible
solutions.
Proceedings on Privacy Enhancing Technologies,
Год журнала:
2023,
Номер
2024(1), С. 21 - 40
Опубликована: Окт. 22, 2023
The
adoption
of
virtual
reality
(VR)
technologies
has
rapidly
gained
momentum
in
recent
years
as
companies
around
the
world
begin
to
position
so-called
''metaverse''
next
major
medium
for
accessing
and
interacting
with
internet.
While
consumers
have
become
accustomed
a
degree
data
harvesting
on
web,
real-time
nature
sharing
metaverse
indicates
that
privacy
concerns
are
likely
be
even
more
prevalent
new
''Web
3.0.''
Research
into
VR
demonstrated
plethora
sensitive
personal
information
is
observable
by
various
would-be
adversaries
from
just
few
minutes
telemetry
data.
On
other
hand,
we
yet
see
parallels
many
privacy-preserving
tools
aimed
at
mitigating
threats
conventional
platforms.
This
paper
aims
systematize
knowledge
landscape
countermeasures
proposing
comprehensive
taxonomy
attributes,
protections,
based
study
74
collected
publications.
We
complement
our
qualitative
discussion
statistical
analysis
risk
associated
sources
inherent
consideration
known
attacks
defenses.
By
focusing
highlighting
clear
outstanding
opportunities,
hope
motivate
guide
further
research
this
increasingly
important
field.
Knowledge,
Год журнала:
2023,
Номер
3(4), С. 543 - 556
Опубликована: Сен. 27, 2023
The
term
“metaverse”
came
to
the
fore
in
2021
when
Facebook
rebranded
its
corporate
identity
Meta
and
signalled
intention
invest
at
least
USD
10
billion
developing
concepts
related
products
that
year.
However,
there
is
still
little
consensus
defining
what
constitutes
metaverse,
although
a
widespread,
though
not
universal,
agreement
it
will
bring
wide
range
of
benefits
across
society.
More
specifically,
advent
continuing
evolution
metaverse
has
strategic
operational
implications
for,
impacts
on,
industry
business
large.
Adopting
an
inductive,
interpretivist
approach,
this
exploratory
research
article
presents
case
examples
guidance
on
responsible
development
provided
by
two
IT
services
companies.
This
identifies
major
risks
responsibilities
associated
with
assesses
how
companies
might
address
these
responsibilities.
Very
been
published
area,
attempts
make
small
contribution
filling
gap
literature.
finds
are
largely
line
those
currently
digital
responsibility,
concludes
impact
extent
regulatory
change
depend
nature
materialises
forthcoming
decade.
IEEE Consumer Electronics Magazine,
Год журнала:
2023,
Номер
13(3), С. 80 - 89
Опубликована: Ноя. 20, 2023
In
this
article,
metaverse
healthcare
systems
are
studied
from
the
privacy
and
security
perspectives.
We
address
data
communication
for
metaverse,
threats
of
employing
machine
learning
artificial
intelligence
(ML/AI)
algorithms
healthcare.
addition,
human-centric
social
interactions
in
is
studied.
Our
goal
to
present
new
visions
approaches,
including
physical
layer
security,
semantic
communications,
differential
privacy,
adversarial
learning.
These
approaches
have
shown
promising
results
field
communications
networking,
as
well
computer
science
domain,
showcasing
a
huge
potential
be
employed
systems.
As
case
study,
we
propose
distributed
systems,
where
each
virtual
clinic
perturbs
its
medical
model
vector
safeguard
against
malicious
clients
honest-but-curious
servers.
Through
our
experiments
on
Breast
Cancer
Wisconsin
Dataset,
highlight
privacy-utility
tradeoff
different
adjustable
levels
privacy.
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW),
Год журнала:
2024,
Номер
unknown, С. 493 - 500
Опубликована: Март 16, 2024
Virtual
reality
(VR)
and
"metaverse"
systems
have
recently
seen
a
resurgence
in
interest
investment
as
major
technology
companies
continue
to
enter
the
space.
However,
recent
studies
demonstrated
that
motion
tracking
"telemetry"
data
used
by
nearly
all
VR
applications
is
uniquely
identifiable
fingerprint
scan,
raising
significant
privacy
concerns
surrounding
metaverse
technologies.
In
this
paper,
we
propose
new
"deep
masking"
approach
scalably
facilitates
real-time
anonymization
of
telemetry
data.
Through
large-scale
user
study
$(N=182)$
,
demonstrate
our
method
significantly
more
usable
private
than
existing
anonymity
systems.
Multimodal Technologies and Interaction,
Год журнала:
2024,
Номер
8(6), С. 48 - 48
Опубликована: Июнь 5, 2024
Driven
by
technological
advances
in
various
fields
(AI,
5G,
VR,
IoT,
etc.)
together
with
the
emergence
of
digital
twins
technologies
(HDT,
HAL,
BIM,
etc.),
Metaverse
has
attracted
growing
attention
from
scientific
and
industrial
communities.
This
interest
is
due
to
its
potential
impact
on
people
lives
different
sectors
such
as
education
or
medicine.
Specific
solutions
can
also
increase
inclusiveness
disabilities
that
are
an
impediment
a
fulfilled
life.
However,
security
privacy
concerns
remain
main
obstacles
development.
Particularly,
data
involved
be
comprehensive
enough
granularity
build
highly
detailed
copy
real
world,
including
Human
Digital
Twin
person.
Existing
countermeasures
largely
ineffective
lack
adaptability
specific
needs
applications.
Furthermore,
virtual
worlds
large-scale
varied
terms
hardware
implementation,
communication
interfaces,
software,
which
poses
huge
interoperability
difficulties.
paper
aims
analyse
risks
opportunities
associated
adopting
replicas
humans
(HDTs)
within
challenges
related
managing
identities
this
context.
By
examining
current
landscape,
we
identify
several
open
currently
limit
adoption
HDTs
Metaverse.
Additionally,
explores
range
promising
methodologies
assess
their
suitability
Finally,
two
example
scenarios
presented
Medical
Education
fields.
Family Relations,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 28, 2025
Abstract
Objective
This
article
provides
an
overview
of
artificial
intelligence
(AI)
avatar
technology
and
its
potential
use
as
a
therapeutic
intervention
by
licensed
marriage
family
therapists
(MFTs)
within
the
system
context.
Background
With
growth
therapy,
it
is
essential
to
equip
future
practitioners
with
tools
for
effective
service
delivery.
As
virtual
environments
evolve,
MFTs
must
be
prepared
engage
clients
all
ages
interested
in
these
technologies.
Method
The
authors
present
conceptual
paper
on
AI
technology,
exploring
applications
therapy
examining
diffusion
innovation
theory
assess
adoption.
Results
avatars
offer
many
benefits,
including
increasing
accessibility
affordability;
enhanced
communication
settings;
augmenting
treatment
possibilities
individuals
families;
safe,
anonymous
environment
that
encourages
client
expression.
also
helps
alleviate
therapist
burnout.
Conclusion
Although
should
not
replace
human
interactions,
can
enhance
delivery
MFT
practices,
helping
profession
stay
relevant
this
digital
age
improving
accessibility.
Implications
Integrating
create
new
training
opportunities
practitioners.
Professional
associations
develop
guidelines
optimize
practice
revolution
advances.
JMIR XR and spatial computing.,
Год журнала:
2024,
Номер
1, С. e59409 - e59409
Опубликована: Сен. 1, 2024
Abstract
Background
Virtual
reality
(VR)
is
a
type
of
extended
(XR)
technology
that
seeing
increasing
adoption
in
health
care.
There
robust
evidence
articulating
how
consumer-grade
VR
presents
significant
cybersecurity
and
privacy
risks
due
to
the
often
ubiquitous
wide
range
data
collection
user
monitoring,
as
well
unique
impact
attacks
immersive
nature
technology.
However,
little
known
about
these
translate
use
systems
care
settings.
Objective
The
objective
this
scoping
review
identify
potential
associated
with
clinical
XR
systems,
focus
on
VR,
mitigations
for
them.
Methods
followed
PRISMA-ScR
(Preferred
Reporting
Items
Systematic
reviews
Meta-Analyses
extension
Scoping
Reviews),
publications
were
reviewed
using
Covidence
software.
Google
Scholar
database
was
searched
predefined
search
terms.
inclusion
criteria
articles
restricted
relevant
primary
studies
published
from
2017
2024.
Furthermore,
reviews,
abstracts,
viewpoints,
opinion
pieces,
low-quality
excluded.
Additionally,
publication
statistics,
topic,
technology,
cyber
threats,
risk
mitigation
extracted.
These
synthesized
analyzed
STRIDE
(spoofing,
tampering,
repudiation,
information
disclosure,
denial
service,
elevation
privilege)
framework,
enterprise
management
National
Institute
Standards
Technology
Cybersecurity
Framework,
developing
threat
taxonomies.
Results
returned
482
matched
criteria.
After
title
abstract
screening,
53
extracted
full-text
review,
which
29
included
analysis.
Of
these,
majority
last
4
years
had
VR.
greatest
identified
components
disclosure
by
tampering
when
mapped
against
framework.
strategies
provide
confidentiality
integrity
can
potentially
address
threats.
Only
3
papers
mention
context
none
threats
or
have
been
studied
setting.
Conclusions
This
where
personal
health-related
may
be
inferred
usage
data,
breaching
confidentiality,
most
posited
systems.
manipulation
highlighted,
could
safety
launched
compromised
system.
Many
but
must
first
assessed
their
effectiveness
suitability
services.
services
should
consider
governance
each
individual
application
based
threshold
perceived
benefits.
Finally,
it
also
important
note
limited
quality
scope
Scholar.
IEEE Security & Privacy,
Год журнала:
2023,
Номер
22(1), С. 24 - 32
Опубликована: Ноя. 16, 2023
Motion
tracking
"telemetry"
data
lies
at
the
core
of
nearly
all
modern
extended
reality
(XR)
and
metaverse
experiences.
While
generally
presumed
innocuous,
recent
studies
have
demonstrated
that
motion
actually
has
potential
to
profile
deanonymize
XR
users,
posing
a
significant
threat
security
privacy
in
metaverse.