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The latest generation of Intel processors supports Software Guard Extensions (SGX), a set of instructions that implements a Trusted Execution Environment (TEE) right inside the CPU, by means of so-called enclaves. This paper presents…

性能 · 计算机科学 2019-06-27 Sébastien Vaucher , Valerio Schiavoni , Pascal Felber

Intel's software guard extensions (SGX) provide hardware enclaves to guarantee confidentiality and integrity for sensitive code and data. However, systems leveraging such security mechanisms must often pay high performance overheads. A…

密码学与安全 · 计算机科学 2023-07-10 Peterson Yuhala , Michael Paper , Timothée Zerbib , Pascal Felber , Valerio Schiavoni , Alain Tchana

A protocol for two-party secure function evaluation (2P-SFE) aims to allow the parties to learn the output of function $f$ of their private inputs, while leaking nothing more. In a sense, such a protocol realizes a trusted oracle that…

Modern computing environments demand robust security measures to protect sensitive data and resources. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is a well-established encryption technique known for its fine-grained access…

密码学与安全 · 计算机科学 2024-09-12 Vivek Suryawanshi , Shamik Sural

The Internet of Things (IoT) field has gained much attention from industry and academia, being the main subject for numerous research and development projects. Frequently, the dense amount of generated data from IoT applications is sent to…

Novel confidential computing technologies such as Intel TDX, AMD SEV, and Arm CCA have recently emerged. In practice, due to its minimal trust boundaries, Intel SGX still remains widely used for enclave-based applications in cloud…

密码学与安全 · 计算机科学 2026-05-11 Matti Schulze , Thorsten Holz , Felix Freiling

Trusted Execution Environments, such as Intel SGX, use hardware supports to ensure the confidentiality and integrity of applications against a compromised cloud system. However, side channels like access patterns remain for adversaries to…

密码学与安全 · 计算机科学 2023-08-15 AKM Mubashwir Alam , Justin Boyce , Keke Chen

With the evolution of computer systems, the amount of sensitive data to be stored as well as the number of threats on these data grow up, making the data confidentiality increasingly important to computer users. Currently, with devices…

The growing adoption of IoT devices in our daily life is engendering a data deluge, mostly private information that needs careful maintenance and secure storage system to ensure data integrity and protection. Also, the prodigious IoT…

密码学与安全 · 计算机科学 2020-08-13 Md Shihabul Islam , Mustafa Safa Ozdayi , Latifur Khan , Murat Kantarcioglu

MapReduce is a programming model used extensively for parallel data processing in distributed environments. A wide range of algorithms were implemented using MapReduce, from simple tasks like sorting and searching up to complex clustering…

分布式、并行与集群计算 · 计算机科学 2017-05-17 Rafael Pires , Daniel Gavril , Pascal Felber , Emanuel Onica , Marcelo Pasin

Integrity is critical for maintaining system security, as it ensures that only genuine software is loaded onto a machine. Although confidential virtual machines (CVMs) function within isolated environments separate from the host, it is…

密码学与安全 · 计算机科学 2024-10-25 Wenhao Wang , Linke Song , Benshan Mei , Shuang Liu , Shijun Zhao , Shoumeng Yan , XiaoFeng Wang , Dan Meng , Rui Hou

Beyond point solutions, the vision of edge computing is to enable web services to deploy their edge functions in a multi-tenant infrastructure present at the edge of mobile networks. However, edge functions can be rendered useless because…

密码学与安全 · 计算机科学 2018-09-25 Ketan Bhardwaj , Ming-Wei Shih , Ada Gavrilovska , Taesoo Kim , Chengyu Song

New types of Trusted Execution Environment (TEE) architectures like TrustLite and Intel Software Guard Extensions (SGX) are emerging. They bring new features that can lead to innovative security and privacy solutions. But each new TEE…

密码学与安全 · 计算机科学 2015-07-01 Thomas Nyman , Brian McGillion , N. Asokan

Machine learning has become a critical component of modern data-driven online services. Typically, the training phase of machine learning techniques requires to process large-scale datasets which may contain private and sensitive…

密码学与安全 · 计算机科学 2019-02-13 Roland Kunkel , Do Le Quoc , Franz Gregor , Sergei Arnautov , Pramod Bhatotia , Christof Fetzer

Trusted execution environments (TEE) such as Intel's Software Guard Extension (SGX) have been widely studied to boost security and privacy protection for the computation of sensitive data such as human genomics. However, a performance…

密码学与安全 · 计算机科学 2021-07-28 Chathura Widanage , Weijie Liu , Jiayu Li , Hongbo Chen , XiaoFeng Wang , Haixu Tang , Judy Fox

A promising approach for designing critical embedded systems is based on virtualization technologies and multi-core platforms. These enable the deployment of both real-time and general-purpose systems with different criticalities in a…

软件工程 · 计算机科学 2019-09-23 Luigi De Simone , Giovanni Mazzeo

We present IPU Trusted Extensions (ITX), a set of experimental hardware extensions that enable trusted execution environments in Graphcore's AI accelerators. ITX enables the execution of AI workloads with strong confidentiality and…

Application security traditionally strongly relies upon security of the underlying operating system. However, operating systems often fall victim to software attacks, compromising security of applications as well. To overcome this…

密码学与安全 · 计算机科学 2017-01-05 Samuel Weiser , Mario Werner

Smart grid adopts two-way communication and rich functionalities to gain a positive impact on the sustainability and efficiency of power usage, but on the other hand, also poses serious challenges to customers' privacy. Existing solutions…

密码学与安全 · 计算机科学 2018-10-04 Shaohua Li , Kaiping Xue

In this paper, we explore a new, yet critical, side-channel attack against Intel Software Guard Extension (SGX), called a branch shadowing attack, which can reveal fine-grained control flows (i.e., each branch) of an enclave program running…

密码学与安全 · 计算机科学 2017-06-05 Sangho Lee , Ming-Wei Shih , Prasun Gera , Taesoo Kim , Hyesoon Kim , Marcus Peinado