RPiDS: Raspberry Pi IDS A Fruitful Intrusion Detection System for IoT

被引:0
|
作者
Sforzin, Alessandro [1 ]
Conti, Mauro [1 ]
Marmol, Felix Gomez [2 ]
Bohli, Jens-Matthias [2 ]
机构
[1] Univ Padua, Via Trieste 63, Padua, Italy
[2] NEC Labs Europe, Kurfursten Anlage 36, Heidelberg, Germany
基金
欧盟地平线“2020”;
关键词
Intrusion Detection; IoT; Snort; Raspberry Pi; INTERNET; THINGS;
D O I
10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.114
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Our technology keeps advancing towards a future where everything is connected together. The Internet of Things (IoT) goal is to make every device accessible from the Internet. Even the most common electrical appliances, such as ovens and light bulbs, will have their own IP address, and will be reachable remotely. While this enhanced connectivity will definitely improve our quality of life, it also raises serious security, privacy and trustworthiness questions; the resource constrained nature of IoT entities makes traditional security techniques impractical. In this paper, we propose an intrusion detection architecture for the IoT. We discuss the feasibility of employing a commodity device as the core component of the architecture. In particular, we evaluated the performance of the Raspberry Pi, one of the most used commodity single-board computers, while running Snort, a widely known and open source Intrusion Detection System (IDS). Our experiments show that our proposed architecture based on resource constrained devices, such as the Raspberry Pi, can effectively serve as IDS in a distributed system such as IoT.
引用
收藏
页码:440 / 448
页数:9
相关论文
共 50 条
  • [31] Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks
    Gaber, Tarek
    Awotunde, Joseph Bamidele
    Torky, Mohamed
    Ajagbe, Sunday A.
    Hammoudeh, Mohammad
    Li, Wei
    INTERNET OF THINGS, 2023, 24
  • [32] Detection using Intrusion Detection System (IDS) and SMS Gateway Controller
    Arhami, Muhammad
    Arianda, Akhbar
    Fata, Akmalul
    Yassir
    Desiani, Anita
    Arifai, Muhammad
    INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2023, 70 (02) : 449 - 453
  • [33] Intrusion Detection System (IDS): Anomaly Detection using Outlier Detection Approach
    Jabez, J.
    Muthukumar, B.
    INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONVERGENCE (ICCC 2015), 2015, 48 : 338 - 346
  • [34] Raspberry PI and role of IoT in Education
    Mahmood, Salman
    Palaniappan, Sellappan
    Hasan, Raza
    Sarker, Kamal Uddin
    Abass, Ali
    Rajegowda, Puttaswamy Malali
    2019 4TH MEC INTERNATIONAL CONFERENCE ON BIG DATA AND SMART CITY (ICBDSC), 2019, : 146 - 151
  • [35] Immune System Based Intrusion Detection System (IS-IDS): A Proposed
    Dutt, Inadyuti
    Borah, Samarjeet
    Maitra, Indra Kanta
    IEEE ACCESS, 2020, 8 : 34929 - 34941
  • [36] How to Improve the IoT Security Implementing IDS/IPS Tool using Raspberry Pi 3B+
    Juan Jesus, Ruiz-Lagunas
    Mauricio Rene, Reyes-Gutierrez
    Anastacio, Antolino-Hernandez
    Cristhian, Torres-Millarez
    Omar, Paniagua-Villagomez
    Heberto, Ferreira-Medina
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (09) : 399 - 405
  • [37] A systematic literature review for network intrusion detection system (IDS)
    Abdulganiyu, Oluwadamilare Harazeem
    Tchakoucht, Taha Ait
    Saheed, Yakub Kayode
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2023, 22 (05) : 1125 - 1162
  • [38] Optimizing an IDS (Intrusion Detection System) by Means of Advanced Metaheuristics
    Mora, A. M.
    Arenas, M. G.
    Romero-Horno, A.
    Camacho-Paez, J.
    Castillo, P. A.
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT I, 2023, 14134 : 55 - 67
  • [39] Classification of Intrusion Detection System (IDS) Based on Computer Network
    Effendy, David Ahmad
    Kusrini, Kusrini
    Sudarmawan, Sudarmawan
    2017 2ND INTERNATIONAL CONFERENCES ON INFORMATION TECHNOLOGY, INFORMATION SYSTEMS AND ELECTRICAL ENGINEERING (ICITISEE): OPPORTUNITIES AND CHALLENGES ON BIG DATA FUTURE INNOVATION, 2017, : 90 - 94
  • [40] IDS prototype for intrusion detection with machine learning models in IoT systems of the Industry 4.0
    Aveleira-Mata, Jose
    Luis Munoz-Castaneda, Angel
    Teresa Garcia-Ordas, Maria
    Benavides-Cuellar, Carmen
    Alberto Benitez-Andrades, Jose
    Alaiz-Moreton, Hector
    DYNA, 2021, 96 (03): : 270 - 275