Detecting modeling polymorphic shellcode de nbou omar (13 resultados)

Condición: New.

Paperback or Softback. Condición: New. Detecting and modeling polymorphic shellcode. Book.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: New.

Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Detecting and modeling polymorphic shellcode | A new approach | Omar Nbou | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | VDM Verlag Dr. Müller | EAN 9783639377736 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nbou OmarMSc graduate student in Information Security at Concordia University Montreal, Omar Nbou is a professional within the security field, expert in different domains such as malware detection, network security protocols, vuln. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The problem of modeling and detecting polymorphic engines shellcode is adressed in this book. By polymorphic engines, we mean programs having the ability to transform any piece of malware into many instances consisting of different code but having the same functionality as the original malware. Typically, polymorphic engines work by encrypting the target malware using various encryption techniques and providing a decryption module in order to execute the newly encrypted instance. Moreover, those engines have the ability to mutate their decryption routine making them unique from one instance to another and hard to detect. We propose a new concept of signatures, shape signatures, which cope with the highly mutated nature of those engines. The shape signatures try to identify the constant part as well as the mutated part of the deciphering routines. This combination is able to cope with the highly mutated nature of those engines in a much more efficient way compared to traditional signatures used in most intrusion detection systems. We also aim at modeling those polymorphic engines by showing that they exhibit a specific byte composition.…