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1.ÍNDICE

1. CONCEPTOS55555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555-

2. PAPER 1: ASSESING THE SEVERETY OF PHISHING ATTACKS: A HYBRID DATA MINING

APPROACH555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555-2.1. DATOS GENERALES.........................................................................................5

2.2. RESUMEN.......................................................................................................5

2.3. OBJETIVOS......................................................................................................6

2.4. EXPLICACIÓN DE LA PROPUESTA.....................................................................6

2.. RESULTADOS...................................................................................................7

2.!. CONCLUSIONES...............................................................................................8

2.". APRECIACIÓN CR#TICA....................................................................................8

3. PAPER 2: DATA MINING FOR CREDIT CARD FRAUD. A COMPARATIVE STUDY55555555555555563.1. DATOS GENERALES.........................................................................................9

3.2. PROBLEMA.....................................................................................................9

3.3. OBJETIVOS......................................................................................................9

3.4. EXPLICACIÓN DE LA PROPUESTA.....................................................................9

3.. RESULTADOS...................................................................................................9

3.!. CONCLUSIONES...............................................................................................9

3.". APRECIACIÓN CR#TICA....................................................................................9

FU$$Y DATA MINING55555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555555510

4.1. DATOS GENERALES.......................................................................................10

4.2. RESUMEN.....................................................................................................10

4.3. PROBLEMA...................................................................................................10

4.4. OBJETIVOS....................................................................................................11

4.. EXPLICACIÓN DE LA PROPUESTA...................................................................11

4.!. RESULTADOS.................................................................................................14

4.". CONCLUSIONES.............................................................................................164.%. APRECIACIÓN CR#TICA..................................................................................17

T Ó P I C O S D E I N G E N I E R Í A D E S I S T E M A S   P 7 & i n a 2 8 1-

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2.3. CONCEPTOS

• D&'& M()()*: E+ D&'& M()()* ,-()/0& &'5 + 6)78)' '96)(6& '6)+*0& ;8 7'(@ )6)'/&/  

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4.3. O*'ETI+OS

Pr""p$!: P//( '=' -()/0& &'5 ;8 8'(+(& +& '96)(6&

='/&66() /& 6+&@ /(/ (-

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• P&/& '/-()&/ +& */&@& + &'&;8 &)6&/(& ) /-& -)&7 6// +6'/)(6 (/(*(& & + 6+()' + >&)6.

P/ + -? (-

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S &) /&+(& (@/& ()@'(*&6() ) + '-& + ;8 ' )(@+ & /

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. PAPER 2: DATA MINING FOR CREDIT CARD FRAUD. A COMPARATIVE STUDY

/.1. DATOS GENERALES

• A8'/:• A +(6&6():• J8/)&+:

/.(. PRO*LEMA

/.3. O*'ETI+OS

/.4. EPLICACIÓN DE LA PROP)ESTA

/./. RES)LTADOS/.0. CONCL)SIONES/.. APRECIACIÓN CRÍTICA

T Ó P I C O S D E I N G E N I E R Í A D E S I S T E M A S   P 7 & i n a 8 1-

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!. PAPER 3: INTELLIGENT PHISHING DETECTION SYSTEM FOR EBANKING USINGFU$$Y DATA MINING

0.1. DATOS GENERALES

• Autores: M&/ A+>8//85 M.A. H(&)5 K&@ D&&+5 F&( T&>'&  Año de pu!"#$#"%&: 21 

'our&$!: ELSEVIER 

0.(. RES)MEN.%. L& '66() ()'((6&6()

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H&6/ 8) -+ +=(>+ (6& ;8 8'(+(6 &+*/('- '96)(6& D&'& M()()*

L*(6& D(8&

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L 6-

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P&/& + ()(6&/ /(* +&

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(5.1. RES)LTADOS

A+*8) /8+'& + =

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1

32 3 4

L @&+/ )'/&& & & +& '/ )'/&&5 ;8 ) +& 6&

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19 3/ade Legal LegalS,&e%-

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'0 3/ade Legal I#%"e/$S,&e%-

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'1 3/ade Legal 3ALSO P-",-y

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(5.(. CONCL)SIONES

E+ -+ -()/0& &' (8 &)6& +6'/)(6& ,URL I)'(& -()( /+8' ;8 + ('( > + '6'&>+.

(5.3. APRECIACIÓN CRÍTICA

E+ -+

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E+ &8'/ '&->(9) > &6/ 8)& 6-(9) >( /&+(&/ 8)& 6-