Practical Fine-Grained Information Flow Control Using Laminar

Author:

Porter Donald E.1,Bond Michael D.2,Roy Indrajit3,Mckinley Kathryn S.4,Witchel Emmett5

Affiliation:

1. Stony Brook University, Stony Brook, NY

2. Ohio State University, Columbus, OH

3. Hewlett Packard Labs, Palo Alto, CA

4. Microsoft Research, WA

5. The University of Texas at Austin, Austin, TX

Abstract

Decentralized Information Flow Control (DIFC) is a promising model for writing programs with powerful, end-to-end security guarantees. Current DIFC systems that run on commodity hardware can be broadly categorized into two types: language-level and operating system-level DIFC. Language solutions provide no guarantees against security violations on system resources such as files and sockets. Operating system solutions mediate accesses to system resources but are either inefficient or imprecise at monitoring the flow of information through fine-grained program data structures. This article describes Laminar, the first system to implement DIFC using a unified set of abstractions for OS resources and heap-allocated objects. Programmers express security policies by labeling data with secrecy and integrity labels and access the labeled data in security methods . Laminar enforces the security policies specified by the labels at runtime. Laminar is implemented using a modified Java virtual machine and a new Linux security module. This article shows that security methods ease incremental deployment and limit dynamic security checks by retrofitting DIFC policies on four application case studies. Replacing the applications' ad hoc security policies changes less than 10% of the code and incurs performance overheads from 5% to 56%. Compared to prior DIFC systems, Laminar supports a more general class of multithreaded DIFC programs efficiently and integrates language and OS abstractions.

Funder

Stony Brook University

National Institutes of Health

Division of Computer and Network Systems

Division of Computing and Communication Foundations

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Software

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1. HyperDetector: Detecting, Isolating, and Mitigating Timing Attacks in Virtualized Environments;Cryptology and Network Security;2022

2. Detector+: An approach for detecting, isolating, and preventing timing attacks;Computers & Security;2021-11

3. Analyzing the Overhead of File Protection by Linux Security Modules;Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security;2021-05-24

4. A Semantic Notion of Secure Information-Flow;Communications in Computer and Information Science;2019

5. Ryoan;ACM Transactions on Computer Systems;2018-12-16

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