Cook / Keromytis CryptoGraphics

Exploiting Graphics Cards For Security
1. Auflage 2006
ISBN: 978-0-387-34189-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 20, 140 Seiten, eBook

Reihe: Advances in Information Security

Software that covertly monitors user actions, also known as spyware, has become a first-level security threat due to its ubiquity and the difficulty of detecting and removing it. This is especially so for video conferencing, thin-client computing and Internet cafes.

CryptoGraphics: Exploiting Graphics Cards for Security explores the potential for implementing ciphers within GPUs, and describes the relevance of GPU-based encryption to the security of applications involving remote displays. As the processing power of GPUs increases, research involving the use of GPUs for general purpose computing has arisen. This work extends such research by considering the use of a GPU as a parallel processor for encrypting data. The authors evaluate the operations found in symmetric and asymmetric key ciphers to determine if encryption can be programmed in existing GPUs. A detailed description for a GPU based implementation of AES is provided. The feasibility of GPU-based encryption allows the authors to explore the use of a GPU as a trusted system component. Unencrypted display data can be confined to the GPU to avoid exposing it to any malware running on the operating system.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Cook, Debra

Keromytis, Angelos D.

Inhaltsverzeichnis

Graphical Processing Units.- Motivation.- Encryption in GPUs.- Remotely Keyed Cryptographics.- Related Issues.- Extensions.- Conclusions.

Leseproben

Chapter 6
RELATED ISSUES (p. 88-89)

6.1 Overview

In this chapter, topics related to the architecture and prototype presented in Chapter 5 are discussed. The architecture described in Chapter 5 focuses on securing images sent to an untrusted chent. A complete system must also address the protection of user input on the client that is sent to the server and the protection of audio sent to the client. In addition, an alternative method for keying the GPU is provided. The architecture's susceptibility to man-in-the-middle attacks and phishing attacks is evaluated. The concept of executing cryptographic operations within a GPU can be used in conjunction with the trusted platform module (TPM) defined by the Trusted Computing Group (TCG). An overview of the TPM is provided and how the prototype can utilize the TPM is described. Another issue is where data compression is performed. Compression is unrelated to attacks against the client, but is impacted by moving encryption and decryption into the GPU.

6.2 Protecting User Input

The user responses on the untrusted client pose an interesting problem in that they require preventing input from the keyboard and mouse from being available to the untrusted operating system. One potential solution is to encrypt the keyboard inputs inside the keyboard itself (e.g., on the keyboard's USB controller). This requires a trusted keyboard, which is possible by using a portable folding keyboard that connects to USB port, such as those available for several PDA devices. The mouse may be directly connected to the keyboard (e.g., a TrackPoint device, as is common with laptops), or input may only be taken from the keyboard. A pin can be used as the key to the cipher used for encrypting the inputs. The pin can be of sufficient length to thwart a brute force attack. The server may either choose a pin for the user, displaying it securely to the user via GPU-based decryption, or have the user select a pin from a keypad displayed on the GPU.

If the server selects the pin for use in the keyboard, the server merely sends the pin as an encrypted image to the client's GPU where it is decrypted and presented to the user who then enters it into the keyboard. The pin can be a relatively small, unpredictable area of the image. An attacker or malware attempting to modify the pin will at best have access to the encrypted image. Other possibilities include the use of graphical passwords [20,83] and shouldersurfing- resistant PIN-entry methods [69]. Another option for conveying user input to an application on an untrusted client is the method described in [48] in which a trusted channel between a PDA (a cell phone) and the application requiring the input is used. The user's PDA provides a trusted device by which the user enters input.

Graphically displayed keypads are used on some websites to allow a user to enter a pin to access his or her account by selecting values via mouse clicks. In some implementations the ordering of the values on the keypad change after each mouse click. Variations of such displays can be used to set the pin for the keyboard and to provide a secret key to the GPU for use in a symmetric key cipher.

The user can select a pin if the server displays a keypad to the user via the client's GPU. The keypad is sent encrypted from the server to the GPU where it is decrypted and displayed to the user. Then the user selects characters from the keypad by clicking on or entering a series of squares from the keypad, with the coordinates of the selections sent to the server. Even though the client's operating system can see the coordinates of the user's selections (since the keyboard and mouse inputs are not yet encrypted), it does not have access to the unencrypted keypad, making this information useless to an attacker. To avoid guessing attacks based on the relative locations of the mouse pointer, the keypad configuration is changed every time a digit is selected as shown in Figure 6.1. The keypad can be spread across the display with each digit displayed in an arbitrary location determined by the server as shown on the right side of Figure 6.1 instead of in the traditional rectangle form. If an attacker or malware on the client attempts to alter the coordinates sent to the server, the altered values may not correspond to valid positions on the keypad. Minimizing the area of the display corresponding to digits will decrease the probability that malware can select coordinates that correspond to digits.

Über Autor(innen)

An invited speaker at the 2005 RSA Conference, Cryptographers’ Track, Debra Cook is a Ph.D. student in computer science at Columbia University in New York. Her research interests are focused in applied cryptography. She has a B.S. and M.S.E. in mathematical sciences from the Johns Hopkins University and an M.S. in computer science from Columbia. After graduating from Johns Hopkins, she was a senior technical staff member at Bell Labs and AT&T Labs before pursuing her Ph.D.

Angelos Keromytis is an Assistant Professor of Computer Science at Columbia University. His research interests include design and analysis of network and cryptographic protocols, software security and reliability, and operating system design. He received his Ph.D. in Computer Science from the University of Pennsylvania, and his B.S. in Computer Science from the University of Crete in Greece.