Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems

被引：4

作者：

Cassavia, Nunziato ^{[1
]}

Caviglione, Luca ^{[2
]}

Guarascio, Massimo ^{[1
]}

Liguori, Angelica ^{[3
]}

Zuppelli, Marco ^{[2
]}

机构：

[1] Inst High Performance Comp & Networking, Via Pietro Bucci 8-9C, I-87036 Arcavacata Di Rende, Italy

[2] Inst Appl Math & Informat Technol, Via Marini 6, I-16149 Genoa, Italy

[3] Univ Calabria, Via Pietro Bucci, Arcavacata Di Rende, Italy

来源：

FOUNDATIONS OF INTELLIGENT SYSTEMS (ISMIS 2022) | 2022年 / 13515卷

基金：

欧盟地平线“2020”;

关键词：

Deep autoencoder; Ensemble method; Covert channel; Intelligent cyber attack detection system;

D O I：

10.1007/978-3-031-16564-1_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Network covert channels are becoming exploited by a wide-range of threats to avoid detection. Such offensive schemes are expected to be also used against IoT deployments, for instance to exfiltrate data or to covertly orchestrate botnets composed of simple devices. Therefore, we illustrate a solution based on Deep Learning for the detection of covert channels targeting the TTL field of IPv4 datagrams. To this aim, we take advantage of an Autoencoder ensemble to reveal anomalous traffic behaviors. An experimentation on realistic traffic traces demonstrates the effectiveness of our approach.

引用

页码：209 / 218

页数：10

共 50 条

[41] Covert Channel Detection Using Machine Learning
Cavusoglu, Imge Gamze
Alemdar, Hande
Onur, Ertan
2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2020,
[42] Covert Channel Detection: A Survey Based Analysis
Gober, S. Zerafshan
Javed, Barkha
Saqib, Nazar Abbas
2012 9TH INTERNATIONAL CONFERENCE ON HIGH CAPACITY OPTICAL NETWORKS AND EMERGING/ENABLING TECHNOLOGIES (HONET), 2012, : 57 - 64
[43] Determining Proximal Geolocation of IoT Edge Devices via Covert Channel
Islam, Md Nazmul
Patil, Vinay C.
Kundu, Sandip
PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED), 2017, : 196 - 202
[44] Covert Communications Without Channel State Information at Receiver in IoT systems
Hu, Jinsong
Yan, Shihao
Zhou, Xiaobo
Shu, Feng
Wang, Jiangzhou
IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (11) : 11103 - 11114
[45] Data Exfiltration Detection on Network Metadata with Autoencoders
Willems, Daan
Kohls, Katharina
van der Kamp, Bob
Vranken, Harald
ELECTRONICS, 2023, 12 (12)
[46] A Network Covert Timing Channel Detection Method Based on Chaos Theory and Threshold Secret Sharing
Xie, Jinpu
Chen, Yonghong
Wang, Linfan
Wang, Zhe
PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, : 2380 - 2384
[47] Automated Nuclei Detection in Serous Effusion Cytology with Stacked Sparse Autoencoders
Baykal, Elif
Dogan, Hulya
Ercin, Mustafa Emre
Ersoz, Safak
Ekinci, Murat
2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
[48] Dynamic video anomaly detection and localization using sparse denoising autoencoders
Medhini G. Narasimhan
Sowmya Kamath S.
Multimedia Tools and Applications, 2018, 77 : 13173 - 13195
[49] Mutual Information-Dynamic Stacked Sparse Autoencoders for Fault Detection
Yin, Jie
Yan, Xuefeng
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, 58 (47) : 21614 - 21624
[50] Dynamic video anomaly detection and localization using sparse denoising autoencoders
Narasimhan, Medhini G.
Kamath, Sowmya S.
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (11) : 13173 - 13195

← 1 2 3 4 5 →