亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Blockchain-based Secure Data Transmission for UAV Swarm using Modified Particle Swarm Optimization Path Planning Algorithm

计算机科学 基站 粒子群优化 计算机网络 网络数据包 路径(计算) 传输(电信) 数据传输 群体行为 电信网络 实时计算 安全通信 分布式计算 算法 电信 人工智能 加密
作者
M. Kayalvizhi,S. Ramamoorthy
出处
期刊:International Journal of Advanced Computer Science and Applications [Science and Information Organization]
卷期号:12 (11) 被引量:3
标识
DOI:10.14569/ijacsa.2021.0121163
摘要

With the rapid development of unmanned aerial vehicles assisted applications enabled with a communication system, they are open to various malicious attacks. As a new form of flying things, they can access the network for better communication via the aerial base station. Most of the Unmanned aerial vehicles assisted flying objects' optimal path selection schemes does not consider the path deviation. In path deviation attacks, secure data transmission are not addressed in existing works. The secure communication process between Unmanned aerial vehicles and base station are exploited through security-based attacks. Moreover, path loss issue leads to multicast packet loss and unsecured broadcast. The existing network architecture setup does not fulfill the secure data communication and privacy issues. In this paper, Blockchain is utilized to investigate the secure communication between Unmanned aerial vehicles to Wireless Unmanned aerial vehicles Base stations. Since the destination information is dynamic under an uncertain environment, it will cause a delay in data communication. Unmanned aerial vehicles are more vulnerable to security attacks. The proposed blockchain-based architecture supports secure data communication in Unmanned aerial vehicles uncertain environments. To improve network security, this paper designs a modified particle swarm optimization method for better path selection. Through these experimental results, a blockchain-based data communication scheme is outer performed concerning network security.

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
dhx7530发布了新的文献求助10
3秒前
领导范儿应助dingtao采纳,获得10
5秒前
9秒前
脑洞疼应助科研通管家采纳,获得10
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
12秒前
dingtao发布了新的文献求助10
17秒前
Nina6666完成签到,获得积分10
20秒前
23秒前
刘德华完成签到,获得积分10
23秒前
29秒前
小蝶完成签到 ,获得积分10
45秒前
yangbinsci0827完成签到,获得积分10
53秒前
Fin2046完成签到,获得积分10
57秒前
hzc发布了新的文献求助10
59秒前
1分钟前
小华完成签到 ,获得积分10
1分钟前
Hh发布了新的文献求助30
1分钟前
牛八先生发布了新的文献求助20
1分钟前
SciGPT应助zht采纳,获得10
1分钟前
1分钟前
西雨禅发布了新的文献求助10
1分钟前
2分钟前
zht发布了新的文献求助10
2分钟前
在水一方应助科研通管家采纳,获得10
2分钟前
OsamaKareem应助科研通管家采纳,获得10
2分钟前
2分钟前
2分钟前
无花果应助zht采纳,获得10
2分钟前
收集快乐完成签到 ,获得积分10
2分钟前
卡耐基完成签到 ,获得积分10
2分钟前
2分钟前
Lliu完成签到,获得积分10
2分钟前
酷波er应助香蕉新儿采纳,获得10
2分钟前
2分钟前
2分钟前
sweetrumors发布了新的文献求助20
2分钟前
Chenjw发布了新的文献求助10
2分钟前
烨枫晨曦完成签到,获得积分10
2分钟前
zht发布了新的文献求助10
2分钟前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6495742
求助须知:如何正确求助?哪些是违规求助? 8292502
关于积分的说明 17694807
捐赠科研通 5589804
什么是DOI,文献DOI怎么找? 2916638
邀请新用户注册赠送积分活动 1893519
关于科研通互助平台的介绍 1753015