A Cross-Layer Survey on Secure and Low-Latency Communications in Next-Generation IoT

计算机网络 物联网 物理层 计算机科学 低延迟(资本市场) 延迟(音频) 图层(电子) 电信 无线 嵌入式系统 化学 有机化学
作者
Marco Martalò,Giovanni Pettorru,Luigi Atzori
出处
期刊:IEEE Transactions on Network and Service Management [Institute of Electrical and Electronics Engineers]
卷期号:21 (4): 4669-4685 被引量:5
标识
DOI:10.1109/tnsm.2024.3390543
摘要

The last years have been characterized by strong market exploitation of the Internet of Things (IoT) technologies in different application domains, such as Industry 4.0, smart cities, and eHealth. All the relevant solutions should properly address the security issues to ensure that sensor data and actuators are not under the control of malicious entities. Additionally, many applications should at the same time provide low-latency communications, as in the case for instance of remote control of industrial robots. Low latency and security are two of the most important challenges to be addressed for the successful deployment of IoT applications. These issues have been analyzed by several scientific papers and surveys that appeared in the last decade. However, few of them consider the two challenges jointly. Moreover, the security aspects are primarily investigated only in specific application domains or protocol levels and the latency issues are typically investigated only at low layers (e.g., physical, access). This paper addresses this shortcoming and provides a systematic review of state-of-the-art solutions for providing fast and secure IoT communications. Although the two requirements may appear to be in contrast to each other, we investigate possible integrated solutions that minimize device connection and service provisioning. We follow an approach where the proposals are reviewed by grouping them based on the reference architectural layer, i.e., access, network, and application layers. We also review the works that propose promising solutions that rely on the exploitation of the QUIC protocol at the higher levels of the protocol stack.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
sera发布了新的文献求助10
刚刚
梦初醒处发布了新的文献求助10
1秒前
ccshi完成签到,获得积分10
1秒前
拉长的诗蕊完成签到,获得积分10
1秒前
xff完成签到 ,获得积分10
2秒前
dora发布了新的文献求助10
2秒前
李杰完成签到,获得积分10
3秒前
33完成签到,获得积分0
3秒前
3秒前
Orange应助xx采纳,获得100
3秒前
4秒前
斯文败类应助寂静沐风采纳,获得10
4秒前
小太阳发布了新的文献求助10
4秒前
酷波er应助勤劳的音响采纳,获得10
5秒前
Banson完成签到,获得积分10
5秒前
GPTea发布了新的文献求助10
5秒前
QQ完成签到,获得积分10
5秒前
KUYAA完成签到 ,获得积分10
5秒前
RenHP完成签到,获得积分10
6秒前
xxzz应助guard采纳,获得10
6秒前
朝气完成签到,获得积分10
7秒前
学术渣渣完成签到,获得积分10
7秒前
科研通AI6.1应助风趣问蕊采纳,获得10
7秒前
阿克图尔斯·蒙斯克完成签到,获得积分10
8秒前
meir完成签到,获得积分10
8秒前
独立卫生间完成签到,获得积分10
8秒前
9秒前
9秒前
9秒前
10秒前
YifanWang应助shinn采纳,获得10
10秒前
Banson发布了新的文献求助10
10秒前
战神林北完成签到,获得积分0
10秒前
10秒前
打打应助Alston采纳,获得10
11秒前
dew发布了新的文献求助4000
11秒前
acadedog完成签到,获得积分10
11秒前
11秒前
翯翯完成签到 ,获得积分10
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
The Social Psychology of Citizenship 800
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5916568
求助须知:如何正确求助?哪些是违规求助? 6870950
关于积分的说明 15799402
捐赠科研通 5042511
什么是DOI,文献DOI怎么找? 2713919
邀请新用户注册赠送积分活动 1666023
关于科研通互助平台的介绍 1605473