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A Re iew Pape on Cybe Secu i y in Wi eless Ne wo ks: Th ea s,
Coun e measu es, and Fu u e T ends
Bhumi Chi o a1, Shalini Chawla2
1S uden (BCA) School o Compu e Applica ion & Technology, Ca ee Poin Uni e si y,
Ko a (Raj.), India
2Assis an P o esso , School o Compu e Applica ion & Technology, Ca ee Poin
Uni e si y, Ko a (Raj.), India
Abs ac
Wi eless ne wo ks ha e become an essen ial pa o e e yday communica ion, enabling
connec i i y ac oss homes, businesses, and public spaces. Howe e , hei open and sha ed
na u e exposes hem o a a ie y o secu i y isks such as unau ho ized access, da a
in e cep ion, and malicious a acks. This s udy examines he key h ea s acing wi eless
ne wo ks and e alua es adi ional secu i y measu es including enc yp ion p o ocols,
au hen ica ion me hods, and ne wo k moni o ing ools. We highligh he c i ical ole o use
beha io and he challenges posed by ogue access poin s and mul i-laye ed a acks. The
indings emphasise ha while ad anced echnical sa egua ds a e i al, simple p ac ices such
as s ong passwo ds, egula upda es, and use awa eness signi ican ly con ibu e o ne wo k
p o ec ion. Balancing secu i y and pe o mance emains a challenge, bu a blended app oach
o sound ne wo k design, igilan moni o ing, and in o med use s o e s e ec i e de ense
agains common wi eless h ea s.
Keywo ds: Ransomwa e, P e en ion S a egies, SIEM, Cybe secu i y Endpoin De ec ion
and Response (EDR), Mul i-Fac o Au hen ica ion (MFA)
In oduc ion
Wi eless ne wo ks play a c ucial ole in mode n communica ion, o e ing con enien and
lexible connec i i y o a wide ange o de ices and applica ions. F om homes and o ices o
public spaces and sma ci ies, wi eless echnology has ans o med how we access and sha e
in o ma ion. Howe e , he e y na u e o wi eless communica ion—whe e signals a e
b oadcas h ough he ai —also makes hese ne wo ks ulne able o a ious secu i y h ea s.
Unlike wi ed ne wo ks, whe e physical access is equi ed, wi eless ne wo ks can be a ge ed
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by a acke s wi hin signal ange, leading o isks such as unau ho ized access, da a
in e cep ion, denial-o -se ice a acks, and spoo ing.
Secu ing wi eless ne wo ks is he e o e a complex challenge ha equi es a combina ion o
echnical solu ions and use awa eness. Enc yp ion p o ocols such as WEP, WPA, and WPA2
ha e been de eloped o p o ec da a ansmission; howe e , some olde p o ocols emain in
use despi e hei weaknesses. In addi ion, malicious ac o s can exploi ulne abili ies such as
ogue access poin s and weak au hen ica ion mechanisms. P o ec ing ne wo ks also in ol es
moni o ing ools, laye ed secu i y s a egies, and con inuous upda ing o add ess eme ging
h ea s.
This s udy aims o analyze he key ulne abili ies in wi eless ne wo ks and e alua e he
e ec i eness o cu en secu i y measu es. I emphasizes he impo ance o combining obus
echnical de enses wi h esponsible use p ac ices o c ea e a sa e wi eless en i onmen . By
unde s anding hese challenges and solu ions, ne wo k adminis a o s and use s alike can
be e sa egua d hei wi eless communica ions agains e ol ing cybe h ea s.
Re iew o Li e a u e
Recen esea ch in wi eless ne wo k secu i y has yielded nume ous in-dep h s udies ocusing
on cybe a ack de ec ion, deep lea ning applica ions, p o ocol imp o emen s, and eme ging
echnologies such as IoT, 5G, and blockchain. Behi y and Aly (2024) in oduced a hyb id
machine lea ning (ML) model speci ically designed o de ec ing cybe a acks in Wi eless
Senso Ne wo ks (WSNs). Thei model combined mul iple ML echniques o enhance
de ec ion accu acy and eliabili y, and i was alida ed using well-known benchma k da ase s,
demons a ing i s e ec i eness in iden i ying a wide ange o h ea s in esou ce-cons ained
WSN en i onmen s.
In a b oade con ex , Rod íguez, O e o, Gu ié ez, and Canal (2021) conduc ed a
comp ehensi e su ey on he use o deep lea ning (DL) in mobile ne wo k secu i y. Thei
wo k emphasized how DL algo i hms, such as con olu ional neu al ne wo ks (CNNs) and
ecu en neu al ne wo ks (RNNs), ha e been success ully implemen ed in in usion de ec ion
sys ems (IDS). They highligh ed DL’s capabili y o adap o e ol ing h ea s and suppo
eal- ime decision-making, hus playing a i al ole in adap i e h ea esponse mechanisms
in mobile ne wo ks.
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Ahmad e al. (2021) ocused on he secu i y landscape o 5G wi eless communica ion
sys ems. They e iewed he inhe en challenges o 5G, including inc eased bandwid h, de ice
densi y, and decen alized a chi ec u e, which in oduce new ulne abili ies. To add ess
hese, hey p oposed a mul i- ie ed secu i y amewo k inco po a ing a i icial in elligence o
in elligen h ea de ec ion and blockchain o secu e, decen alized au hen ica ion and da a
in eg i y, ensu ing end- o-end us wi hin 5G ecosys ems.
Vanja i, Bansode, and Babu (2022) p o ided a ho ough e iew o exis ing wi eless secu i y
p o ocols such as WEP, WPA, WPA2, and WPA3. They emphasized he impo ance o
ansi ioning o WPA2 and WPA3 due o hei s onge enc yp ion mechanisms and imp o ed
au hen ica ion ea u es. Mo eo e , hey ad oca ed he in eg a ion o IDS ools o moni o
ne wo k anomalies in eal- ime and ein o ce p o ocol-based secu i y wi h beha io al
analysis.
In he con ex o sma u ban en i onmen s, Alshamb i, AlZain, Soh, Masud, and Al-Am i
(2020) explo ed he cybe secu i y challenges associa ed wi h sma ci ies, whe e wi eless
senso ne wo ks a e hea ily u ilized o in as uc u e moni o ing, a ic managemen , and
public sa e y. They p oposed se e al WSN-speci ic h ea mi iga ion s a egies, such as
ligh weigh c yp og aphy, secu e ou ing p o ocols, and anomaly de ec ion sys ems, ailo ed
o he low-powe and dis ibu ed na u e o hese ne wo ks.
Zhang and Lee (2020) examined he use o blockchain in wi eless ne wo k secu i y,
pa icula ly o decen alized access con ol and us managemen . They iden i ied
blockchain’s s eng hs in p o iding ampe -p oo eco ds and au oma ed policy en o cemen
h ough sma con ac s. Howe e , hey also acknowledged limi a ions, such as high ene gy
consump ion and scalabili y issues when applied in eal-wo ld wi eless en i onmen s wi h
limi ed compu a ional esou ces.
Singh and Gup a (2020) conduc ed a de ailed su ey on a ious ypes o wi eless a acks
including jamming, which dis up s communica ion by o e whelming he ne wo k wi h noise;
sni ing, which in e cep s da a packe s; and spoo ing, whe e a acke s impe sona e legi ima e
de ices. They analyzed co esponding mi iga ion echniques such as equency hopping
sp ead spec um (FHSS), enc yp ion algo i hms, and secu e au hen ica ion p o ocols, o e ing
a compa a i e pe spec i e on hei e ec i eness and deploymen complexi y.
Abaid Ullah e al. (2019) ocused on in usion de ec ion sys ems using machine lea ning.
They ca ego ized di e en ML app oaches—supe ised, unsupe ised, and ein o cemen
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lea ning—and assessed hei pe o mance in wi eless en i onmen s. Thei s udy e ealed ha
while supe ised lea ning o e s high accu acy when labeled da a is a ailable, unsupe ised
lea ning is mo e lexible o de ec ing unknown h ea s bu o en su e s om highe alse-
posi i e a es, highligh ing he need o hyb id o semi-supe ised models.
Kaushik and Sewal (2018) analyzed he ulne abili ies p esen in IEEE 802.11 wi eless
ne wo k s anda ds, commonly used in Wi-Fi communica ion. They iden i ied speci ic
weaknesses in au hen ica ion and enc yp ion mechanisms and p oposed enhancemen s such
as implemen ing public key in as uc u e (PKI) o s onge au hen ica ion and de eloping
ogue access poin (AP) de ec ion sys ems o p e en unau ho ized de ices om
masque ading as legi ima e APs.
Finally, Kuma and Mallick (2018) in es iga ed cybe secu i y h ea s associa ed wi h he
apid p oli e a ion o In e ne o Things (IoT) de ices. These de ices, o en deployed in
wi eless ne wo ks, expand he a ack su ace signi ican ly due o hei he e ogenei y and
weak secu i y con igu a ions. The au ho s ecommended designing a secu e IoT a chi ec u e
inco po a ing laye ed secu i y policies, ha dwa e-based au hen ica ion, and eal- ime
moni o ing ools o de ec and espond o po en ial h ea s e ec i ely.
O e all, his body o wo k demons a es a g owing consensus on he impo ance o
in eg a ing ad anced echnologies such as AI, ML, DL, and blockchain in o wi eless ne wo k
secu i y amewo ks o add ess he complex and dynamic h ea landscape.
Resea ch Gaps
Despi e he ad ancemen s in wi eless ne wo k secu i y, se e al esea ch gaps emain ha
wa an u he explo a ion:
1. E ol ing Th ea Landscape: As echnology con inues o e ol e, so do he ac ics
employed by cybe c iminals. The e is a need o ongoing esea ch in o eme ging h ea s
speci ic o wi eless ne wo ks, pa icula ly in he con ex o he In e ne o Things (IoT) and
sma de ices, which in oduce new ulne abili ies ha adi ional secu i y measu es may no
adequa ely add ess.
2. Use Beha io and Awa eness: While use beha io is ecognized as a signi ican
ac o in ne wo k secu i y, he e is limi ed esea ch on e ec i e s a egies o imp o ing use
awa eness and aining. Unde s anding how o bes educa e use s abou secu i y p ac ices and
he psychological ac o s in luencing hei beha io can lead o mo e e ec i e secu i y
implemen a ions.
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3. Impac o Secu i y Measu es on Pe o mance: Al hough i is acknowledged ha
s ong secu i y se ings can a ec ne wo k pe o mance, he e is a lack o comp ehensi e
s udies ha quan i y his impac ac oss di e en en i onmen s and use cases. Resea ch is
needed o iden i y op imal con igu a ions ha balance secu i y and pe o mance wi hou
comp omising use expe ience.
4. In eg a ion o Secu i y P o ocols: Many o ganiza ions s ill use a mix o ou da ed
and mode n secu i y p o ocols, leading o po en ial ulne abili ies. The e is a gap in esea ch
ocused on he in eg a ion and ansi ion s a egies o o ganiza ions looking o upg ade hei
secu i y p o ocols while main aining ope a ional con inui y.
5. Au oma ed Secu i y Solu ions: While au oma ed moni o ing ools exis , he e is a
need o mo e esea ch in o he de elopmen o ad anced, use - iendly solu ions ha can
e ec i ely de ec and espond o h ea s in eal- ime. This includes explo ing machine
lea ning and a i icial in elligence applica ions in iden i ying anomalies and po en ial secu i y
b eaches.
6. Policy and Regula o y F amewo ks: As wi eless ne wo ks become mo e p e alen ,
he e is a gap in unde s anding he implica ions o policy and egula o y amewo ks on
wi eless secu i y p ac ices. Resea ch is needed o explo e how egula ions can be designed o
enhance secu i y wi hou s i ling inno a ion and accessibili y.
By add essing hese esea ch gaps, u u e s udies can con ibu e o a mo e comp ehensi e
unde s anding o wi eless ne wo k secu i y and lead o he de elopmen o mo e e ec i e
s a egies o p o ec agains e ol ing h ea s.
Objec i es o he S udy
The objec i es o his s udy on wi eless ne wo k secu i y a e as ollows:
1. To assess he e ec i eness o exis ing wi eless enc yp ion p o ocols, such as WEP,
WPA, and WPA2, in p o ec ing agains unau ho ized access and da a in e cep ion.
2. To iden i y and analyze he p ima y ulne abili ies in wi eless ne wo ks, including he
isks posed by ogue access poin s, weak au hen ica ion me hods, and use beha io .
3. To in es iga e he ole o use beha io in ne wo k secu i y, ocusing on how p ac ices
such as passwo d managemen and de ice upda es in luence o e all ne wo k ulne abili y.
4. To explo e he ela ionship be ween secu i y measu es and ne wo k pe o mance,
de e mining how di e en secu i y se ings impac speed and use expe ience.
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5. To e alua e he e ec i eness o au oma ed moni o ing ools in de ec ing ogue access
poin s and unau ho ized de ices, and o iden i y bes p ac ices o hei implemen a ion.
6. To p opose e ec i e s a egies o inc easing use awa eness and aining ega ding
wi eless secu i y p ac ices, aiming o empowe use s o ake an ac i e ole in p o ec ing hei
ne wo ks.
7. To p o ide ecommenda ions o a mul i-laye ed secu i y app oach ha combines
echnical measu es wi h use educa ion, ensu ing obus p o ec ion agains a wide ange o
wi eless h ea s.
By achie ing hese objec i es, he s udy aims o con ibu e aluable insigh s in o enhancing
wi eless ne wo k secu i y and os e ing a sa e digi al en i onmen o use s.
Resea ch Me hodology
1. This s udy adop s a seconda y esea ch app oach, elying on he analysis o exis ing
li e a u e, epo s, and publicly a ailable da a ela ed o wi eless ne wo k secu i y. This
app oach helps build a b oad unde s anding o cu en secu i y challenges and adi ional
solu ions wi hou gene a ing new expe imen al da a.
2. The esea ch is desc ip i e and compa a i e in na u e. I e iews a ious wi eless
secu i y p o ocols, e alua es common ulne abili ies, and compa es he e ec i eness o
es ablished secu i y measu es. The design suppo s de ailed examina ion o bo h echnical
de enses and human ac o s a ec ing ne wo k secu i y.
3. The s udy uses well-known public da ase s such as NSL-KDD, UNSW-NB15, and
CICIDS 2017, which include labeled ne wo k a ic wi h a acks and no mal beha io o
benchma king secu i y ools. Supplemen a y da a is d awn om academic publica ions,
echnical documen s, and eal-wo ld case s udies ocusing on wi eless h ea s and de enses.
4. Da a collec ion in ol es compiling ele an in o ma ion om published sou ces and
da ase eposi o ies. Addi ionally, he s udy d aws on documen ed ne wo k inciden s and
indus y epo s o highligh p ac ical secu i y issues like ogue access poin s, weak
au hen ica ion, and use - ela ed isks. Simula ions in ne wo k en i onmen s may be
conduc ed o obse e ne wo k beha io unde a ack scena ios.
5. Tools used include ne wo k analyze s like Wi esha k o examining a ic pa e ns and
iden i ying ulne abili ies. Ne wo k simula o s such as NS2 and NS3 help ec ea e wi eless
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en i onmen s o s udy he impac o secu i y p o ocols and a acks. Fi ewalls and in usion
de ec ion sys ems a e e iewed based on exis ing pe o mance da a, ocusing on hei ole in
adi ional secu i y amewo ks.
This me hodology cen e s on es ablished ne wo king ools and p o ocols, li e a u e e iew,
and simula ion o analyze and imp o e wi eless ne wo k secu i y wi hou elying on AI-based
app oaches.
Sugges i e F amewo k
1. Implemen obus enc yp ion s anda ds such as WPA3 o ad anced e sions o WPA2
o secu e da a ansmission and p e en unau ho ized access.
2. En o ce s ic access con ol measu es like passwo d p o ec ion, MAC add ess
il e ing, and ce i ica e-based au hen ica ion o limi de ice connec ions o us ed use s only.
3. Use egula ne wo k scanning combined wi h cen alized moni o ing sys ems o
iden i y and block unau ho ized o ake access poin s ha may ick use s in o connec ing.
4. Apply mul iple laye s o secu i y co e ing he physical, da a link, ne wo k, and
applica ion le els. This includes physical shielding o placemen , secu e ou ing p o ocols,
and da a alida ion echniques.
5. Ensu e all ne wo k de ices a e kep up o da e wi h he la es secu i y pa ches o
p o ec agains known ulne abili ies.
6. Con inuously moni o ne wo k a ic using i ewalls and in usion
de ec ion/p e en ion sys ems (IDS/IPS) o spo abno mal ac i i y and log e en s o u he
analysis.
7. Educa e use s abou sa e wi eless p ac ices such as using s ong passwo ds, a oiding
unknown ne wo ks, and ecognizing phishing a emp s o educe human e o s ha lead o
secu i y b eaches.
8. Balance secu i y se ings wi h ne wo k pe o mance o minimize la ency and
connec i i y issues. Regula ly es he ne wo k o ind he op imal con igu a ion ha
main ains usabili y wi hou comp omising secu i y.
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P oposed F amewo k
1. Use up- o-da e enc yp ion p o ocols like WPA3 o he la es WPA2 s anda ds o
p o ec wi eless communica ions om unau ho ized access and ea esd opping.
2. En o ce s ong passwo d policies, MAC add ess il e ing, and whe e possible,
ce i ica e-based au hen ica ion o ensu e only au ho ized de ices can connec o he ne wo k.
3. Regula ly scan he ne wo k o unau ho ized o ake access poin s using cen alized
moni o ing ools, and p omp ly isola e o block hese h ea s o p e en da a he o man-in-
he-middle a acks.
4. P o ec he ne wo k a a ious le els— om physical secu i y measu es ha p e en
ha dwa e ampe ing o secu e ou ing and applica ion-laye p o ec ions ha alida e da a
in eg i y.
5. Employ i ewalls, In usion De ec ion Sys ems (IDS), and logging mechanisms o
moni o ne wo k a ic in eal ime, iden i y unusual ac i i y, and acili a e apid inciden
esponse.
6. Main ain all ne wo k de ices wi h imely secu i y pa ches and upda es o close
ulne abili ies and imp o e esilience agains eme ging h ea s.
7. Conduc ongoing aining o encou age bes p ac ices such as c ea ing s ong
passwo ds, a oiding unknown ne wo ks, and p omp ly epo ing suspicious ac i i y.
8. Ca e ully con igu e secu i y measu es o main ain a balance be ween s ong
p o ec ion and accep able ne wo k speed and usabili y.
In e p e a ion
1. Con enience s. Secu i y:
Wi eless ne wo ks o e easy connec i i y and access o he in e ne om a ious
loca ions.
This con enience comes wi h signi ican secu i y challenges.
2. Impo ance o S ong Enc yp ion:
Using s ong enc yp ion me hods like WPA2 and WPA3 is c ucial o p o ec ing da a.
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Olde p o ocols, such as WEP, a e highly ulne able and should be phased ou .
3. Th ea o Rogue Access Poin s:
Rogue access poin s can ick use s in o connec ing, especially in public spaces (e.g.,
ca es, ai po s).
Regula moni o ing and scanning o unau ho ized ne wo ks a e essen ial o
sa egua ding in o ma ion.
4. Use Beha io Ma e s:
Many use s s ill ely on weak passwo ds and neglec de ice upda es, inc easing he
isk o b eaches.
Educa ing use s abou sa e p ac ices (e.g., c ea ing s ong passwo ds, being cau ious
wi h unknown ne wo ks) is i al.
5. Mul i-Laye ed Secu i y App oach:
E ec i e secu i y equi es add essing h ea s a mul iple le els, om physical secu i y
o so wa e ulne abili ies.
A laye ed de ense s a egy is necessa y o comp ehensi e p o ec ion.
6. Balancing Secu i y and Pe o mance:
S onge secu i y measu es can some imes slow down ne wo k pe o mance.
P ac ical s eps, such as egula upda es and passwo d p o ec ion, can enhance secu i y
wi hou signi ican ly impac ing usabili y.
7. A Balanced App oach:
Combining solid echnical de enses wi h in o med use habi s and ongoing
moni o ing c ea es a sa e wi eless en i onmen .
This balanced app oach is key o e ec i ely managing wi eless ne wo k secu i y.
Da a Analysis
In wi eless ne wo ks, we o en ace a ious cybe secu i y h ea s, including unau ho ized
access, denial-o -se ice (DoS) a acks, spoo ing, and ea esd opping. These issues a ise
