LUIS: A L IGHT W EIGHT U SER I DENTIFICATION S CHEME FOR S MARTPHONES IJCI JOURNAL
Smartphone usage has reached its peak. There has be
en a tremendous growth in the number of people
migrating from PCs to smart phones. Numerous scenar
ios such as loss of a phone, phone theft etc., can
lead to unauthorized use of one’s own smartphone. T
his raises the concern for securing personal and
private data. This project proposes a light weight
two level user identification scheme to recognize a
nd
authenticate the mobile phone based on the device h
olding and usage patterns. To validate the proposed
scheme, an application is created which takes a ges
ture input characterized by time of swiping the scr
een,
finger pressure, phone movements and location of sw
ipe on the screen through X and Y co-ordinate. A
threshold based matching scheme performs classifica
tion to find the true owner. Results show that the
scheme was able to achieve 90% true positives and 1
0% false positives with a 0.5% of battery usage.
LUIS: A L IGHT W EIGHT U SER I DENTIFICATION S CHEME FOR S MARTPHONES IJCI JOURNAL
Smartphone usage has reached its peak. There has be
en a tremendous growth in the number of people
migrating from PCs to smart phones. Numerous scenar
ios such as loss of a phone, phone theft etc., can
lead to unauthorized use of one’s own smartphone. T
his raises the concern for securing personal and
private data. This project proposes a light weight
two level user identification scheme to recognize a
nd
authenticate the mobile phone based on the device h
olding and usage patterns. To validate the proposed
scheme, an application is created which takes a ges
ture input characterized by time of swiping the scr
een,
finger pressure, phone movements and location of sw
ipe on the screen through X and Y co-ordinate. A
threshold based matching scheme performs classifica
tion to find the true owner. Results show that the
scheme was able to achieve 90% true positives and 1
0% false positives with a 0.5% of battery usage.
2. apellido nota 1 trim nota 2 trim nota 3 trim promedio funcion si contar si
mazziotti 9 10 8 9 aprovado 2
saya 7 8 9 8 aprovado
duca 4 6 6 5 desaprovado
Aprovados y desaprovados
mazziotti saya duca
Alumnos y notas por trimestre
12
10
8 mazziotti
saya
6 duca
4
2
0
Column B Column C Column D
3. marca de auto
cant de a ven 1 cant de a ven 2 total funcion si contar si
audi 500 200 1000 1700 revisar
peugeot 300 1000 900 2200 venta ok
fiat 600 700 800 2100 venta ok
bmw 700 1000 200 1900 revisar
total 2100 2900 2900 7900