You are provided with the abstract of a scientific paper and the abstracts of the papers it references. Your task is to write a Related Work section for the main paper. This section should concisely summarize and integrate the key points from the cited abstracts, reflecting how they relate to the main paper's contributions and context. In your summary, use numerical citation markers like [1], [2], etc., to refer to the corresponding papers.

Main Abstract:
Remote mobile and embedded devices are used to deliver increasingly impactful services, such as medical rehabilitation and assistive technologies. Secure system logging is beneficial in these scenarios to aid audit and forensic investigations particularly if devices bring harm to end-users. Logs should be tamper-resistant in storage, during execution, and when retrieved by a trusted remote verifier. In recent years, Trusted Execution Environments (TEEs) have emerged as the go-to root of trust on constrained devices for isolated execution of sensitive applications. Existing TEE-based logging systems, however, focus largely on protecting server-side logs and offer little protection to constrained source devices. In this paper, we introduce EmLog -- a tamper-resistant logging system for constrained devices using the GlobalPlatform TEE. EmLog provides protection against complex software adversaries and offers several additional security properties over past schemes. The system is evaluated across three log datasets using an off-the-shelf ARM development board running an open-source, GlobalPlatform-compliant TEE. On average, EmLog runs with low run-time memory overhead (1MB heap and stack), 430--625 logs second throughput, and five-times persistent storage overhead versus unprotected logs.

Cited Abstract(s):
[1]: System logs are the greatest forensics assets that capture how an operating system or a program behaves. System logs are often the next immediate attack target once a system is compromised, and it is thus paramount to protect them. This paper introduces SGX-Log, a new logging system that ensures the integrity and confidentiality of log data. The key idea is to redesign a logging system by leveraging a recent hardware extension, called Intel SGX, which provides a secure enclave with sealing and unsealing primitives to protect program code and data in both memory and disk from being modified in an unauthorized manner even from high privilege code. We have implemented SGX-Log atop the recent Ubuntu 14.04 for secure logging using real SGX hardware. Our evaluation shows that SGX-Log introduces no observable performance overhead to the programs that generate the log requests, and it also imposes very small overhead to the log daemons.

[2]: Auditing system logs is an important means of ensuring systems' security in situations where run-time security mechanisms are not sufficient to completely prevent potentially malicious activities. A fundamental requirement for reliable auditing is the integrity of the log entries. This paper presents an infrastructure for secure logging that is capable of detecting the tampering of logs by powerful adversaries residing on the device where logs are generated. We rely on novel features of trusted hardware TPM to ensure the continuity of the logging infrastructure across power cycles without help from a remote server. Our infrastructure also addresses practical concerns including how to handle high-frequency log updates, how to conserve disk space for storing logs, and how to efficiently verify an arbitrary subset of the log. Importantly, we formally state the tamper-proofness guarantee of our infrastructure and verify that our basic secure logging protocol provides the desired guarantee. To demonstrate that our infrastructure is practical, we implement a prototype and evaluate its performance.

[3]: A logger in the cloud capable of keeping a secure, time-synchronized and tamper-evident log of medical device and patient information allows efficient forensic analysis in cases of adverse events or attacks on interoperable medical devices. A secure logger as such must meet requirements of confidentiality and integrity of message logs and provide tamper-detection and tamper-evidence. In this paper, we propose a design for such a cloud-based secure logger using the Intel Software Guard Extensions (SGX) and the Trusted Platform Module (TPM). The proposed logger receives medical device information from a dongle attached to a medical device. The logger relies on SGX, TPM and standard encryption to maintain a secure communication channel even on an untrusted network and operating system. We also show that the logger is resilient against different kinds of attacks such as Replay attacks, Injection attacks and Eavesdropping attacks.
[3] propose streaming medical logs to a server application in Intel SGX (see Section ) that applies the tamper-resistance. Logs are sent to the Intel SGX application ( enclave') over TLS, which computes a hash chain comprising a signature of each record; TPMs are used to authenticate the medical devices to the server, and on the server's end to securely store log hash chains using its sealing mechanism. [1] introduce SGX-Log, which protects server-side device logs received from remote devices. SGX-Log, like [2] , uses block-based hash chains with SGX's secure storage for log integrity and confidentiality. The authors note that continual sealing also provides resilience to attacks in which large volumes of logs in memory are lost due to an unauthorised power loss. Remote attestation is also suggested to authenticate the server enclave before transmitting the logs. The proposed scheme is evaluated using three datasets, yielding a small ($<7