English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  A Broad View of the Ecosystem of Socially Engineered Exploit Documents

Le Blond, S., Gilbert, C., Upadhyay, U., Gomez Rodriguez, M., & Choffnes, D. (2017). A Broad View of the Ecosystem of Socially Engineered Exploit Documents. In Proceedings of the 24th Annual Symposium on Network and Distributed System Security. Reston, VA: Internet Society.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0000-DBDD-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-DBDE-0
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Le Blond, Stevens1, Author           
Gilbert, Cédric1, Author           
Upadhyay, Utkarsh2, Author           
Gomez Rodriguez, Manuel2, Author           
Choffnes, David3, Author           
Affiliations:
1Group P. Druschel, Max Planck Institute for Software Systems, Max Planck Society, ou_2105287              
2Group M. Gomez Rodriguez, Max Planck Institute for Software Systems, Max Planck Society, ou_2105290              
3External Organizations, ou_persistent22              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2017
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: LeBlondNDSS2017
 Degree: -

Event

show
hide
Title: 24th Annual Symposium on Network and Distributed System Security
Place of Event: San Diego, CA, USA
Start-/End Date: 2017-02-26 - 2017-03-01

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proceedings of the 24th Annual Symposium on Network and Distributed System Security
  Other : NDSS Symposium 2017
  Other : NDSS'17
  Abbreviation : NDSS 2017
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Reston, VA : Internet Society
Pages: 15 p. Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -