IEEE Embedded Systems Letters最新文献_第2页

MetaTinyML: End-to-End Metareasoning Framework for TinyML Platforms MetaTinyML: TinyML平台的端到端元推理框架

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3446948

Mozhgan Navardi;Edward Humes;Tinoosh Mohsenin

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FDPFS: Leveraging File System Abstraction for FDP SSD Data Placement FDPFS：利用文件系统抽象来实现FDP SSD数据放置

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3443205

Ping-Xiang Chen;Dongjoo Seo;Nikil Dutt

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IEEE Embedded Systems Letters Publication Information IEEE嵌入式系统通讯出版信息

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3474269

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ML-Based Fast and Precise Embedded Rack Detection Software for Docking and Transport of Autonomous Mobile Robots Using 2-D LiDAR 基于ml的自主移动机器人对接与运输嵌入式机架检测软件

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3442927

Sunghoon Hong;Daejin Park

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HDVQ-VAE: Binary Codebook for Hyperdimensional Latent Representations HDVQ-VAE：用于超维潜在表示的二进制码本

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3443881

Austin J. Bryant;Sercan Aygun

引用次数: 0

A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings 对DDR4 DRAM单元跨多个锤击设置的脆弱性的新见解

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3449232

Ranyang Zhou;Jacqueline Liu;Nakul Kochar;Sabbir Ahmed;Adnan Siraj Rakin;Shaahin Angizi

{"title":"A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings","authors":"Ranyang Zhou;Jacqueline Liu;Nakul Kochar;Sabbir Ahmed;Adnan Siraj Rakin;Shaahin Angizi","doi":"10.1109/LES.2024.3449232","DOIUrl":"https://doi.org/10.1109/LES.2024.3449232","url":null,"abstract":"RowHammer stands out as a prominent example, potentially the pioneering one, showcasing how a failure mechanism at the circuit level can give rise to a significant and pervasive security vulnerability within systems. Prior research has approached RowHammer attacks within a static threat model framework. Nonetheless, it warrants consideration within a more nuanced and dynamic model. This letter presents a low-overhead DRAM RowHammer vulnerability profiling technique, which utilizes innovative test vectors for categorizing memory cells into distinct security levels. The proposed test vectors intentionally weaken the spatial correlation between the aggressors and victim rows before an attack for evaluation, thus aiding designers in mitigating RowHammer vulnerabilities in the mapping phase. While there has been no previous research showcasing the impact of such profiling to our knowledge, our study methodically assesses 128 commercial DDR4 DRAM products. The results uncover the significant variability among chips from different manufacturers in the type and quantity of RowHammer attacks that can be exploited by adversaries.","PeriodicalId":56143,"journal":{"name":"IEEE Embedded Systems Letters","volume":"16 4","pages":"337-340"},"PeriodicalIF":1.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Run-Time ROP Attack Detection on Embedded Devices Using Side Channel Power Analysis 基于侧信道功率分析的嵌入式设备运行时ROP攻击检测

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3445256

Jinyao Xu;Danny Abraham;Ian G. Harris

引用次数: 0

MUSIC-Lite: Efficient MUSIC Using Approximate Computing: An OFDM Radar Case Study MUSIC- lite：使用近似计算的高效音乐：一个OFDM雷达案例研究

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3440208

Rajat Bhattacharjya;Arnab Sarkar;Biswadip Maity;Nikil Dutt

引用次数: 0

Dynamic Segmented Bus for Energy-Efficient Last-Level Cache in Advanced Interconnect-Dominant Nodes 先进互联优势节点中节能最后一级缓存的动态分段总线

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3444711

Mahta Mayahinia;Tommaso Marinelli;Zhenlin Pei;Hsiao-Hsuan Liu;Chenyun Pan;Zsolt Tokei;Francky Catthoor;Mehdi B. Tahoori

引用次数: 0

SPELL: An End-to-End Tool Flow for LLM-Guided Secure SoC Design for Embedded Systems 拼写：一个端到端的工具流程为llm引导的安全SoC设计的嵌入式系统

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2024-12-05 DOI: 10.1109/LES.2024.3447691

Sudipta Paria;Aritra Dasgupta;Swarup Bhunia

{"title":"SPELL: An End-to-End Tool Flow for LLM-Guided Secure SoC Design for Embedded Systems","authors":"Sudipta Paria;Aritra Dasgupta;Swarup Bhunia","doi":"10.1109/LES.2024.3447691","DOIUrl":"https://doi.org/10.1109/LES.2024.3447691","url":null,"abstract":"Modern embedded systems and Internet of Things (IoT) devices contain system-on-chips (SoCs) as their hardware backbone, which increasingly contain many critical assets (secure communication keys, configuration bits, firmware, sensitive data, etc.). These critical assets must be protected against wide array of potential vulnerabilities to uphold the system’s confidentiality, integrity, and availability. Today’s SoC designs contain diverse intellectual property (IP) blocks, often acquired from multiple 3rd-party IP vendors. Secure hardware design using them inevitably relies on the accrued domain knowledge of well-trained security experts. In this letter, we introduce \u0000<monospace>SPELL</monospace>\u0000, a novel end-to-end framework for the automated development of secure SoC designs. It leverages conversational large language models (LLMs) to automatically identify security vulnerabilities in a target SoC and map them to the evolving database of common weakness enumerations (CWEs); \u0000<monospace>SPELL</monospace>\u0000 then filters the relevant CWEs, subsequently converting them to systemverilog assertions (SVAs) for verification; and finally, addresses the vulnerabilities via centralized security policy enforcement. We have implemented the \u0000<monospace>SPELL</monospace>\u0000 framework using popular LLMs, such as ChatGPT and GEMINI, to analyze their efficacy in generating appropriate CWEs from user-defined SoC specifications and implement corresponding security policies for an open-source SoC benchmark. We have also explored the limitations of existing pretrained conversational LLMs in this context.","PeriodicalId":56143,"journal":{"name":"IEEE Embedded Systems Letters","volume":"16 4","pages":"365-368"},"PeriodicalIF":1.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0