Taha, Muhammad (20998) <br/><br/>
Malicious javascript detection techniques using machine learning 

 - Islamabad  (unpublished)  2019 
 - x, 54 p.  : ill.  ; 30 cm.  +CD 
<br/><br/> A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science in Information Security to the Faculty of Computing.  Includes bibliographical references.  Thesis supervisor: Mr. Masood Ali 
<br/><br/>Thesis(MS)--Riphah International University, 2019 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Information security<br/>Computer security--Malicious JavaScript features--JavaScript malware--Machine learning--Attack classification--RISE
<br/><br/><label>Dewey Class. No.: </label>005.8  / TAH