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Filtering by: Creator/Author Ciepichal, Brian Remove constraint Creator/Author: Ciepichal, Brian Publisher University of Cincinnati Remove constraint Publisher: University of Cincinnati

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  • 20SGX - Spam Detection over Encrypted Emails

    Student Work thumbnail: 20SGX - Spam Detection over Encrypted Emails
    Type:
    Student Work
    Description/Abstract:
    Spam Detection over Encrypted Emails with Intel SGX Emails play a pivotal role in business and everyday communication. There are millions of email messages being sent each day that contain incredibly sensitive information. This sensitive data can be easily parsed by passive attackers on an email server. Leveraging Intel’s SGX we can mitigate this problem by using enclaves. These are private regions of memory that are protected from processes running at higher privilege levels. Decrypting emails using SGX on an Encrypted mail server makes it much more difficult for passive attackers to get any useful data. On top of that this solution takes into account that sender reputation filters are not very effective since it is quite easy for an email address to be compromised. Decrypting emails via Intel SGX improves the general security of Emails on servers where it is running.
    Creator/Author:
    Efford, Reid; Welly, Jacob, and Ciepichal, Brian
    Submitter:
    CECH Library Service
    Date Uploaded:
    06/22/2020
    Date Created:
    2019-04
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International