找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Attacks and Defenses for the Internet-of-Things; 5th International Wo Wenjuan Li,Steven Furnell,Weizhi Meng Conference proceedings 2022 The

[復(fù)制鏈接]
樓主: 寓言
31#
發(fā)表于 2025-3-26 22:15:00 | 只看該作者
32#
發(fā)表于 2025-3-27 01:42:29 | 只看該作者
33#
發(fā)表于 2025-3-27 06:10:27 | 只看該作者
Pierre Lemée,Rapha?l Charron,Arnaud BridierAttack Analyzer (Indicators Of Attack)” rules describing security incidents (signatures) using Sigma language and integrated with the MITRE ATT &CK database. The developed technique allows mapping the events detected in the system under analysis to the MITRE ATT &CK attack patterns and in prospect f
34#
發(fā)表于 2025-3-27 10:25:33 | 只看該作者
,The Final Round: Benchmarking NIST LWC Ciphers on?Microcontrollers,e-art to the novel LWC ciphers. Our research gives an overview over the performance of the latest software implementations of the NIST LWC finalists and shows under which circumstances which candidate is performing the best in our individual test cases. Additionally, we make all benchmarking results
35#
發(fā)表于 2025-3-27 14:23:09 | 只看該作者
36#
發(fā)表于 2025-3-27 18:30:00 | 只看該作者
37#
發(fā)表于 2025-3-28 01:13:19 | 只看該作者
,Constraints and?Evaluations on?Signature Transmission Interval for?Aggregate Signatures with?Interathat the time required for the feedback is 605.3 ms for a typical parameter setting, which indicates that if the acceptable feedback time is significantly larger than a few hundred ms, the existing FT-AS scheme would effectively work in such systems. However, there are situations where such feedback
38#
發(fā)表于 2025-3-28 04:30:07 | 只看該作者
39#
發(fā)表于 2025-3-28 09:53:59 | 只看該作者
,Effective Segmentation of?RSSI Timeseries Produced by?Stationary IoT Nodes: Comparative Study, must consider breaking down a given RSSI dataset into its constituting sub-segments. Unfortunately, the effect of environmental variables on RSSI values tend to be random, which makes the problem of RSSI timeseries segmentation even more challenging. Thus, it is necessary to study the effectiveness
40#
發(fā)表于 2025-3-28 13:30:18 | 只看該作者
,Resource Efficient Federated Deep Learning for?IoT Security Monitoring,ed edge nodes. The performance was evaluated using various realistic IoT and non-IoT benchmark datasets on virtual and testbed environments build with GB-BXBT-2807 edge-computing-like devices. The experimental results show that the proposed method can reduce memory usage by 81% in the simulated envi
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-11-2 00:03
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
尚义县| 合川市| 綦江县| 固镇县| 阿坝| 莱阳市| 洱源县| SHOW| 庆城县| 温宿县| 桑植县| 天气| 大同市| 雷山县| 敖汉旗| 淳化县| 逊克县| 腾冲县| 金平| 宁国市| 台中县| 阳谷县| 大邑县| 台北县| 温宿县| 乌恰县| 张家口市| 峨眉山市| 正定县| 东平县| 尉氏县| 沐川县| 安远县| 大方县| 红安县| 鹤壁市| 鄂尔多斯市| 什邡市| 岳阳市| 临沂市| 常山县|