Harnessing Machine Learning Intelligence Against Cyber Threats
Advances in business strategy and competitive advantage book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 319 - 352
Published: Aug. 28, 2024
The
spread
of
cyberthreats
in
the
digital
age
presents
serious
concerns
to
national
security,
stability
economy,
and
personal
privacy.
Traditional
security
methods
are
unable
keep
up
with
increasing
sophistication
size
cyberattacks.
With
facilitating
quick
identification
mitigation
cyberthreats,
machine
learning
(ML)
has
revolutionary
potential
improve
cybersecurity
measures.
But
applying
ML
this
field
also
brings
important
moral
legal
issues,
particularly
light
international
cybercrimes.
This
chapter
comprehensively
explores
learning's
dual
nature
cybersecurity,
emphasizing
both
its
advantages
disadvantages.
It
talk
about
state
cyber
threats
today,
how
is
being
incorporated
into
ramifications
using
investigations.
Language: Английский
Navigating AI Cybersecurity: Evolving Landscape and Challenges
Maryam Roshanaei,
No information about this author
Mahir R. Khan,
No information about this author
Natalie N. Sylvester
No information about this author
et al.
Journal of Intelligent Learning Systems and Applications,
Journal Year:
2024,
Volume and Issue:
16(03), P. 155 - 174
Published: Jan. 1, 2024
Language: Английский
Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime
Advances in digital crime, forensics, and cyber terrorism book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 363 - 398
Published: Sept. 12, 2024
The
internet
of
things
(IoT)
and
deep
learning
technologies
has
revolutionized
the
cyber-crimes
investigation
which
providing
law
enforcement
with
unprecedented
tools
for
data
analytics.
seamless
incorporation
IoT
devices
algorithms
ushered
in
a
new
era
investigation.
devices,
ranging
from
smart
home
appliances
to
wearables,
generate
vast
amounts
data.
Deep
algorithms,
their
ability
discern
complex
patterns
anomalies,
enable
sift
through
this
efficiently.
Real-time
threat
detection,
forensic
analysis,
predictive
policing
are
among
myriad
applications
empowering
investigators
stay
one
step
ahead
cybercriminals.
This
chapter
deeply
dives
into
diverse
arena
legal
discourse
surrounding
integration
context
Language: Английский
Exploring Effective Strategies for Combatting Cybercrime and Intersection of IoT, Deep Learning
Advances in human and social aspects of technology book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 141 - 172
Published: Sept. 27, 2024
The
Internet
of
Things
(IoT)
represents
a
network
interconnected
devices
that
collect
and
exchange
data,
while
deep
learning,
subset
artificial
intelligence
involves
algorithms
model
high-level
abstractions
in
data
through
neural
networks.
fusion
these
technologies
has
transformed
various
sectors,
from
healthcare
agriculture
to
smart
cities
autonomous
vehicles.
However,
this
convergence
also
created
new
avenues
for
cybercrime,
posing
significant
challenges
security
privacy.
combination
learning
the
resulted
vulnerabilities
hackers
may
take
advantage
addition
creative
uses.
This
chapter
looks
at
legal
approaches
enhanced
analysis
as
well
practical
methods
fighting
cybercrime
context
technologies.
With
focus
on
frameworks
forward-thinking
solutions,
study
attempts
convey
thorough
knowledge
confluence
IoT.
Language: Английский
Navigating Cryptocurrency Regulation
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 133 - 160
Published: Oct. 18, 2024
Cryptocurrency,
based
on
block-chain
technology
is
defined
as
a
decentralized
digital
peer-to-peer
currency.
The
emergence
of
cryptocurrency
boon
for
future
economy;
it
has
been
tagged
along
with
innumerable
practical
and
legal
issues
including
risks
associated
consumer's
protection
such
theft,
misinformation,
unpredictability;
complexity
surrounding
the
characterization
cryptocurrencies,
illegal
activities
driven
through
cryptocurrencies
lack
uniform
comprehensive
global
legislation
to
address
challenges
it.
Though
valiant
efforts
have
made
by
few
countries
like
Canada,
United
Kingdom,
Switzerland,
El
Salvador
etc.
formulate
broad
range
rules
regulations
currency
but
other
developed
developing
economies
largely
remained
silent
debate
regulation
cryptocurrencies.
This
chapter
seeks
explore
into
risk
posed
provide
need
formulation
structure
appropriate
regulating
Language: Английский