Raspberry Pi as an Intrusion Detection System, a Honeypot and a Packet Analyzer

被引:0
|
作者
Tripathi, Shyava [1 ]
Kumar, Rishi [1 ]
机构
[1] Amity Univ, Dept Comp Sci Engn, Amity Sch Engn & Technol, Noida, Uttar Pradesh, India
关键词
Raspberry Pi; Intrusion Detection System; Honeypot; Packet Analyser; Security;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With cybercrimes and attacks on the rise, security is a basic requirement, as well as a necessity, in today's world. As any type of intercommunication and storage of data on the internet is becoming precarious, it becomes extremely important to keep our home network well updated in terms of security, minimize loop holes and ensure data integrity and incorruptibility. It is now extremely important that we protect and secure our home networks and devices from cyber-attacks. Intrusion Detection Systems and Honeypots if implemented correctly can prove to be efficient solutions. In this paper, we evaluate the performance of a Raspberry Pi module running an IDS or Intrusion Detection System, a packet analyzer and a decoy server, called honeypot, for complete network monitoring and security.
引用
收藏
页码:80 / 85
页数:6
相关论文
共 50 条
  • [31] Implementing Face Detection System on UAV Using Raspberry Pi Platform
    Daryanavard, H.
    Harifi, A.
    26TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2018), 2018, : 1720 - 1723
  • [32] Embedded System Based Raspberry Pi 4 for Text Detection and Recognition
    Alanazi, Turki M.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (03): : 3343 - 3354
  • [33] Fall Alarm and Inactivity Detection System Design and Implementation on Raspberry Pi
    Dong, Qifan
    Yang Yang
    Wang Hongjun
    Xu Jian-Hua
    2015 17TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT), 2015, : 382 - 386
  • [34] The Design of Touch Detection HCI System Based on Raspberry PI Module
    Pimpalkar, Trupti
    Tupe-Waghmare, Priynaka
    2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2016, : 305 - 310
  • [35] Green Leaf Disease Detection System for Agriculture Using Raspberry Pi
    Babu, E. Vijaya
    Syamala, Y.
    Balaramakrishna, K.V.
    Ramakrishnaiah, T.
    Talasila, Srinivas
    Nonlinear Optics Quantum Optics, 2024, 59 (1-2): : 149 - 158
  • [36] Raspberry Pi and Computers-Based Face Detection and Recognition System
    Wazwaz, Ayman A.
    Herbawi, Amir O.
    Teeti, Mohammad J.
    Hmeed, Sajed Y.
    2018 4TH INTERNATIONAL CONFERENCE ON COMPUTER AND TECHNOLOGY APPLICATIONS (ICCTA), 2018, : 171 - 174
  • [37] A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System
    Porto-Diaz, Iago
    Fontenla-Romero, Oscar
    Alonso-Betanzos, Amparo
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I, 2010, 6276 : 168 - 177
  • [38] Network intrusion and failure detection system with statistical analyses of packet headers
    Goto, K
    Kojima, K
    18TH INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING, PROCEEDINGS, 2005, : 22 - 27
  • [39] Packet Preprocessing in CNN-Based Network Intrusion Detection System
    Jo, Wooyeon
    Kim, Sungjin
    Lee, Changhoon
    Shon, Taeshik
    ELECTRONICS, 2020, 9 (07) : 1 - 15
  • [40] Kernel-level intrusion detection system for minimum packet loss
    Chung, BH
    Kim, JN
    Sohn, SW
    Park, CH
    6TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS: BROADBAND CONVERGENCE NETWORK INFRASTRUCTURE, 2004, : 207 - 212