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Artikel-Nr. 34247597


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Autor(en): 
  • Alan C. Lin
  • Software Obfuscation with Symmetric Cryptography 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Oktober 2012  
    Genre:  Psychologie / Pädagogik 
    ISBN:  9781249592099 
    EAN-Code: 
    9781249592099 
    Verlag:  Creative Media Partners, LLC 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 246 mm / B 189 mm / D 12 mm 
    Gewicht:  227 gr 
    Seiten:  112 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Software protection is of great interest to commercial industry. Millions of dollars and years of research are invested in the development of proprietary algorithms used in software programs. A reverse engineer that successfully reverses another company's proprietary algorithms can develop a competing product to market in less time and with less money. The threat is even greater in military applications where adversarial reversers can use reverse engineering on unprotected military software to compromise capabilities on the field or develop their own capabilities with significantly less resources. Thus, it is vital to protect software, especially the software's sensitive internal algorithms, from adversarial analysis. Software protection through obfuscation is a relatively new research initiative. The mathematical and security community have yet to agree upon a model to describe the problem let alone the metrics used to evaluate the practical solutions proposed by computer scientists. We propose evaluating solutions to obfuscation under the intent protection model, a combination of white-box and black-box protection to reflect how reverse engineers analyze programs using a combination white-box and black-box attacks. In addition, we explore use of experimental methods and metrics in analogous and more mature fields of study such as hardware circuits and cryptography. Finally, we implement a solution under the intent protection model that demonstrates application of the methods and evaluation using the metrics adapted from the aforementioned fields of study to reflect the unique challenges in a software-only software protection technique.

      



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