Intrusion Detection System and Intrusion Prevention System with Snort Provided by Security Onion
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Implementing Cisco Cyber Security Operations
2019 CLUS Implementing Cisco Cyber Security Operations Paul Ostrowski / Patrick Lao / James Risler Cisco Security Content Development Engineers LTRCRT-2222 2019 CLUS Cisco Webex Teams Questions? Use Cisco Webex Teams to chat with the speaker after the session How 1 Find this session in the Cisco Live Mobile App 2 Click “Join the Discussion” 3 Install Webex Teams or go directly to the team space 4 Enter messages/questions in the team space Webex Teams will be moderated cs.co/ciscolivebot#LTRCRT-2222 by the speaker until June 16, 2019. 2019 CLUS © 2019 Cisco and/or its affiliates. All rights reserved. Cisco Public 3 Agenda • Goals and Objectives • Prerequisite Knowledge & Skills (PKS) • Introduction to Security Onion • SECOPS Labs and Topologies • Access SECFND / SECOPS eLearning Lab Training Environment • Lab Evaluation • Cisco Cybersecurity Certification and Education Offerings 2019 CLUS LTRCRT-2222 © 2019 Cisco and/or its affiliates. All rights reserved. Cisco Public 4 Goals and Objectives: • Today's organizations are challenged with rapidly detecting cybersecurity breaches in order to effectively respond to security incidents. Cybersecurity provides the critical foundation organizations require to protect themselves, enable trust, move faster, add greater value and grow. • Teams of cybersecurity analysts within Security Operations Centers (SOC) keep a vigilant eye on network security monitoring systems designed to protect their organizations by detecting and responding to cybersecurity threats. • The goal of Cisco’s CCNA Cyber OPS (SECFND / SECOPS) courses is to teach the fundamental skills required to begin a career working as an associate/entry-level cybersecurity analyst within a threat centric security operations center. • This session will provide the student with an understanding of Security Onion as an open source network security monitoring tool (NSM). -
Securing Infrastructure-As-A-Service Public Clouds Using Security Onion
Securing Infrastructure-as-a-Service Public Clouds Using Security Onion MIKAIL, Abdullahi and PRANGGONO, Bernardi <http://orcid.org/0000-0002- 2992-697X> Available from Sheffield Hallam University Research Archive (SHURA) at: http://shura.shu.ac.uk/23927/ This document is the author deposited version. You are advised to consult the publisher's version if you wish to cite from it. Published version MIKAIL, Abdullahi and PRANGGONO, Bernardi (2019). Securing Infrastructure-as-a- Service Public Clouds Using Security Onion. Applied System Innovation, 2 (1). Copyright and re-use policy See http://shura.shu.ac.uk/information.html Sheffield Hallam University Research Archive http://shura.shu.ac.uk Article Securing Infrastructure-as-a-Service Public Clouds Using Security Onion Abdullahi Mikail and Bernardi Pranggono * Department of Engineering and Mathematics, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK; [email protected] * Correspondence: [email protected] Received: 17 December 2018; Accepted: 23 January 2019; Published: 30 January 2019 Abstract: The shift to Cloud computing has brought with it its specific security challenges concerning the loss of control, trust and multi-tenancy especially in Infrastructure-as-a-Service (IaaS) Cloud model. This article focuses on the design and development of an intrusion detection system (IDS) that can handle security challenges in IaaS Cloud model using an open source IDS. We have implemented a proof-of-concept prototype on the most deployed hypervisor—VMware ESXi—and performed various real-world cyber-attacks, such as port scanning and denial of service (DoS) attacks to validate the practicality and effectiveness of our proposed IDS architecture. -
A Comparative Analysis of Open- Source Intrusion Detection Systems
TALLINN UNIVERSITY OF TECHNOLOGY Faculty of Information Technology Department of Computer Science Chair of Network Software A COMPARATIVE ANALYSIS OF OPEN- SOURCE INTRUSION DETECTION SYSTEMS Master’s Thesis ITI70LT Student: Mauno Pihelgas Student code: 106497IVCMM Advisor: Risto Vaarandi, Ph.D Tallinn 2012 Declaration I hereby declare that I am the sole author of this thesis. The work is original and has not been submitted for any degree or diploma at any other University. I further declare that the material obtained from other sources has been duly acknowledged in the thesis. ……………………………………. ……………………………… (date) (signature) 2 3 List of Acronyms and Abbreviations BSD license A class of extremely simple and very liberal licenses for computer software. Acronym BSD is short for Berkley Source Distribution. [1] CERT Computer Emergency Response Team. CPU Central Processing Unit. DoS Denial of Service. GNU A recursive acronym for GNU's Not Unix. [2] GNU GPL GNU General Public License. The most widely used license for free software. [2] GNU GRUB A multi-boot boot loader responsible for loading and transferring control to the operating system kernel. GPU Graphics processing unit. A processing unit on a graphics cards. HDD Hard Disk Drive. ICMP Internet Control Message Protocol. One of the core protocols of the Internet Protocol suite. IDS Intrusion Detection System. IPS Intrusion Protection System. md5sum A program used to calculate and verify 128-bit MD5 hashes. NIC Network Interface Card. NIDS Network-based Intrusion Detection System. Nmap Nmap ("Network Mapper") is a free and open-source utility for network discovery and security auditing. [3] PCAP A libpcap library file format that is the primary capture format for many networking tools. -
Intrusion Detection Systems for Smart Home Iot Devices: Experimental Comparison Study
Intrusion Detection Systems for Smart Home IoT Devices: Experimental Comparison Study Faisal Alsakran1, Gueltoum Bendiab1, Stavros Shiaeles2, and Nicholas Kolokotronis3 1 CSCAN, University of Plymouth, PL4 8AA, Plymouth, UK [email protected], [email protected] 2 School of Computing, University of Portsmouth, PO1 2UP, Portsmouth, UK [email protected] 3 Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece [email protected] ABSTRACT Smart homes are one of the most promising applications of the 1 INTRODUCTION emerging Internet of Things (IoT) technology. With the growing Smart home technology also often referred to as home automation number of IoT related devices such as smart thermostats, smart allows the entire home to be automated and therefore, the connected fridges, smart speaker, smart light bulbs and smart locks, smart smart home devices can be remotely controlled and operated, from any homes promise to make our lives easier and more comfortable. location in the world, through a smartphone app, iPads or other network However, the increased deployment of such smart devices brings an devices [13]. In recent years, smart home technology is gaining increase in potential security risks and home privacy breaches. In tremendous ground at all levels. Economic reports affirm that connected order to overcome such risks, Intrusion Detection Systems are home market becomes the largest IoT segment at seven billion related presented as pertinent tools that can provide network-level smart devices in 2018, which present 26% of the global IoT devices protection for smart devices deployed in home environments. These market [14]. According to Gartner [32] this segment is expected to grow systems monitor the network activities of the smart home-connected to 20.4 billion devices by 2020. -
Evaluating the Availability of Forensic Evidence from Three Idss: Tool Ability
Evaluating the Availability of Forensic Evidence from Three IDSs: Tool Ability EMAD ABDULLAH ALSAIARI A thesis submitted to the Faculty of Design and Creative Technologies Auckland University of Technology in partial fulfilment of the requirements for the degree of Masters of Forensic Information Technology School of Engineering, Computer and Mathematical Sciences Auckland, New Zealand 2016 i Declaration I hereby declare that this submission is my own work and that, to the best of my knowledge and belief, it contains no material previously published or written by another person nor material which to a substantial extent has been accepted for the qualification of any other degree or diploma of a University or other institution of higher learning, except where due acknowledgement is made in the acknowledgements. Emad Abdullah Alsaiari ii Acknowledgement At the beginning and foremost, the researcher would like to thank almighty Allah. Additionally, I would like to thank everyone who helped me to conduct this thesis starting from my family, supervisor, all relatives and friends. I would also like to express my thorough appreciation to all the members of Saudi Culture Mission for facilitating the process of studying in a foreign country. I would also like to express my thorough appreciation to all the staff of Saudi Culture Mission for facilitating the process of studying in Auckland University of Technology. Especially, the pervious head principal of the Saudi Culture Mission Dr. Satam Al- Otaibi for all his motivation, advice and support to students from Saudi in New Zealand as well as Saudi Arabia Cultural Attaché Dr. Saud Theyab the head principal of the Saudi Culture Mission. -
Cyber Security Assessment Tools and Methodologies for the Evaluation of Secure Network Design at Nuclear Power Plants
Cyber Security Assessment Tools and Methodologies for the Evaluation of Secure Network Design at Nuclear Power Plants A Letter Report to the U.S. NRC January 27, 2012 Prepared by: Cynthia K. Veitch, Susan Wade, and John T. Michalski Sandia National Laboratories P.O. Box 5800 Albuquerque, New Mexico 87185 Prepared for: Paul Rebstock, NRC Program Manager U.S. Nuclear Regulatory Commission Office of Nuclear Regulatory Research Division of Engineering Digital Instrumentation & Control Branch Washington, DC 20555-0001 U.S. NRC Job Code: JCN N6116 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. Issued by Sandia National Laboratories, operated for the United States Department of Energy by Sandia Corporation. NOTICE: This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors, or their employees, make any warranty, express or implied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represent that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government, any agency thereof, or any of their contractors or subcontractors. -
(Ids) Snort Dan Suricata Berbasis Aturan/Rules Standar Pengembang
PLAGIATPLAGIAT MERUPAKAN MERUPAKAN TINDAKAN TINDAKAN TIDAK TIDAK TERPUJI TERPUJI MEMBANDINGKAN KEMAMPUAN DETEKSI INTRUSION DETECTION SYSTEM (IDS) SNORT DAN SURICATA BERBASIS ATURAN/RULES STANDAR PENGEMBANG SKRIPSI Diajukan untuk Memenuhi Salah Satu Syarat Memperoleh Gelar Sarjana Komputer Program Studi Teknik Informatika Oleh : Benedictus Yoga Pradana 095314040 HALAMAN JUDUL PROGRAM STUDI TEKNIK INFORMATIKA JURUSAN TEKNIK INFORMATIKA FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS SANATA DHARMA YOGYAKARTA 2016 i PLAGIATPLAGIAT MERUPAKAN MERUPAKAN TINDAKAN TINDAKAN TIDAK TIDAK TERPUJI TERPUJI COMPARING DETECTION CAPABILITY OF SNORT AND SURICATA INTRUSION DETECTION SYSTEM (IDS) BASED ON DEVELOPER’S STANDARD RULES A Thesis Presented as Partial Fulfillment ofThe Requirements to Obtain Sarjana Komputer Degree in Informatics Engineering By : Benedictus Yoga Pradana 095314040 INFORMATICS ENGINEERING STUDY PROGRAM INFORMATICS ENGINEERING DEPARTMENT FACULTY OF SCIENCE AND TECHNOLOGY SANATA DHARMAUNIVERSITY YOGYAKARTA 2016 ii PLAGIATPLAGIAT MERUPAKAN MERUPAKAN TINDAKAN TINDAKAN TIDAK TIDAK TERPUJI TERPUJI HALAMAN PERSETUJUAN SKRIPSI MEMBANDINGKAN KEMAMPUAN DETEKSI INTRUSION DETECTION SYSTEM (IDS) SNORT DAN SURICATA BERBASIS ATURAN/RULES STANDAR PENGEMBANG Oleh: Benedictus Yoga Pradana NIM: 095314040 Telah disetujui Oleh: Pembimbing Iwan Binanto, S.Si., M.Cs. Pada tanggal: iii PLAGIATPLAGIAT MERUPAKAN MERUPAKAN TINDAKAN TINDAKAN TIDAK TIDAK TERPUJI TERPUJI ALAMAN PENGESAHAN SKRIPSI MEMBANDINGKAN KEMAMPUAN DETEKSI INTRUSION DETECTION SYSTEM (IDS) SNORT DAN -
Darknoc: Dashboard for Honeypot Management
DarkNOC: Dashboard for Honeypot Management Bertrand Sobesto, Michel Cukier Matti Hiltunen, Dave Kormann, Gregg Vesonder Clark School of Engineering AT&T Labs Research University of Maryland 180 Park Ave. College Park, MD, USA Florham Park, NJ, USA fbsobesto, [email protected] fhiltunen, davek, [email protected] Robin Berthier Coordinated Science Laboratory Information Trust Institute University of Illinois Urbana-Champaign, IL, USA [email protected] Abstract been used to conduct various studies of attackers [1, 9] and analysis of cyber crimes such as unsollicited elec- Protecting computer and information systems from secu- tronic mails, phishing [10], identity theft and denial of rity attacks is becoming an increasingly important task service. The computer security community has used hon- for system administrators. Honeypots are a technol- eypots to analyze different techniques deployed by the ogy often used to detect attacks and collect information attackers to reach their objectives. Attackers’ arsenal about techniques and targets (e.g., services, ports, oper- includes distributed denial of service [24], botnets [2], ating systems) of attacks. However, managing a large worms [11] or SPAM [15]. However few studies focus and complex network of honeypots becomes a challenge on the usage of honeypots data to help network adminis- given the amount of data collected as well as the risk that trators to better protect their production networks. Hon- the honeypots may become infected and start attacking eypot deployment is challenging and the architecture of other machines. In this paper, we present DarkNOC, a such networks is complex. For example, distributed hon- management and monitoring tool for complex honeynets eynets require secure tunnels and different levels of pro- consisting of different types of honeypots as well as other tection must be in place to ensure a total containment of data collection devices. -
Effective Implementation of Dynamic Classification for Network Forensic and Traffic Analysis
International Journal of Computing and Business Research (IJCBR) ISSN (Online) : 2229-6166 Volume 6 Issue 2 March 2015 EFFECTIVE IMPLEMENTATION OF DYNAMIC CLASSIFICATION FOR NETWORK FORENSIC AND TRAFFIC ANALYSIS Manu Bansal Assistant Professor Department of IT University Institute of Engineering & Technology Panjab University, Sector 25, Chandigarh ABSTRACT Packet capturing is one of classical and most frequently used task performed by the network administrators. This is done to fetch the packets traveling in the network and finally detect any suspicious activity in the network. Finally, any out of the way activity or abnormal activity is analyzed by the intrusion detection system (IDS) tools for classification of attacks or type of the traffic. Enormous IDS tools are available including open source products which can classify the attacks or traffic from the PCAP (Packet Capture) Files fetched from honeypots or servers. This article explains about various aspects of PCAP and the detailed process of analyzing the PCAP using Snort IDS Tool for classification of traffic. Keywords – Network Forensic using Data Mining, PCAP Analysis, Honeypot and Honeynets International Journal of Computing and Business Research (IJCBR) ISSN (Online) : 2229-6166 Volume 6 Issue 2 March 2015 INTRODUCTION Network administrators generally face the regular issues of intrusion in their network by different media. To cope up with such issues, they make use of pcap (packet capture) that is having the application programming interface (API) for capturing the network traffic from different dimensions including ports, IP Addresses and associated parameters. In case of Unix- like systems, pcap is implemented in libpcap library. In case of Windows, it implements a port of libpcap that is known as WinPcap. -
Part Iii Network Security Monitoring Processes
Bejtlich_book.fm Page 345 Thursday, June 17, 2004 8:40 AM PART III NETWORK SECURITY MONITORING PROCESSES 345 Bejtlich_book.fm Page 346 Thursday, June 17, 2004 8:40 AM Bejtlich_book.fm Page 347 Thursday, June 17, 2004 8:40 AM Best11 Practices In Parts I and II we explored NSM theory and some tools for conducting NSM. Part III is intended for people who manage NSM operations. It presents best practices for assess- ment, protection, detection, and response, as far as NSM is concerned. While elements of NSM best practices appear throughout the book, this chapter focuses exclusively on the mind-set needed to conduct NSM operations. Chapter 12 brings these principles to life in several case studies. Chapter 1 introduced the security process in general. In this chapter, I explain the NSM-specific aspects of each security process step (see Figure 11.1). First, I describe the benefits of developing a well-defined security policy during assessment. Then I explain protection with respect to access control, traffic scrubbing, and proxies. Next, detection is expanded to include collection, identification, validation, and escalation of suspicious events. I elaborate on response within the context of short-term incident containment and emergency NSM. Finally, I conclude by returning to the assessment phase by high- lighting analyst feedback as a component of planning for the next cycle. ASSESSMENT Assessment involves taking steps to ensure the probability of successfully defending an enterprise. Within the NSM model, assessment means implementing products, people, and processes most conducive to accurately identifying and mitigating intrusions. Part II illustrated NSM tools, and Part IV will offer suggestions for training people. -
Intrusion Detection Systems with Snort Advanced IDS Techniques Using Snort, Apache, Mysql, PHP, and ACID
Intrusion Detection Systems with Snort Advanced IDS Techniques Using Snort, Apache, MySQL, PHP, and ACID perens_series.fm Page 1 Thursday, April 10, 2003 1:43 AM BRUCE PERENS’ OPEN SOURCE SERIES ◆ Managing Linux Systems with Webmin: System Administration and Module Development Jamie Cameron ◆ Implementing CIFS: The Common Internet File System Christopher R. Hertel ◆ Embedded Software Development with eCos Anthony J. Massa ◆ The Linux Development Platform: Configuring, Using, and Maintaining a Complete Programming Environment Rafeeq Ur Rehman, Christopher Paul ◆ Intrusion Detection Systems with Snort: Advanced IDS Techniques with Snort, Apache, MySQL, PHP, and ACID Rafeeq Ur Rehman Intrusion Detection Systems with Snort Advanced IDS Techniques Using Snort, Apache, MySQL, PHP, and ACID Rafeeq Ur Rehman Prentice Hall PTR Upper Saddle River, New Jersey 07458 www.phptr.com Library of Congress Cataloging-in-Publication Data A CIP catalog record for this book can be obtained from the Library of Congress. Editorial/production supervision: Mary Sudul Cover design director: Jerry Votta Cover design: DesignSource Manufacturing manager: Maura Zaldivar Acquisitions editor: Jill Harry Editorial assistant: Noreen Regina Marketing manager: Dan DePasquale © 2003 Pearson Education, Inc. Publishing as Prentice Hall PTR Upper Saddle River, New Jersey 07458 This material may be distributed only subject to the terms and conditions set forth in the Open Publication License, v1.0 or later (the latest version is presently available at <http://www.opencontent.org/openpub/>). Prentice Hall books are widely used by corporations and government agencies for training, marketing, and resale. The publisher offers discounts on this book when ordered in bulk quantities. For more information, contact Corporate Sales Department, Phone: 800-382-3419; FAX: 201-236-7141; E-mail: [email protected] Or write: Prentice Hall PTR, Corporate Sales Dept., One Lake Street, Upper Saddle River, NJ 07458. -
Snort for Dummies.Pdf
01_568353 ffirs.qxd 6/3/04 10:07 AM Page i Snort ™ FOR DUMmIES‰ 01_568353 ffirs.qxd 6/3/04 10:07 AM Page ii 01_568353 ffirs.qxd 6/3/04 10:07 AM Page iii Snort ™ FOR DUMmIES‰ by Charlie Scott, Paul Wolfe, and Bert Hayes 01_568353 ffirs.qxd 6/3/04 10:07 AM Page iv Snort™ For Dummies® Published by Wiley Publishing, Inc. 111 River Street Hoboken, NJ 07030-5774 Copyright © 2004 by Wiley Publishing, Inc., Indianapolis, Indiana Published by Wiley Publishing, Inc., Indianapolis, Indiana Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permis- sion of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permission should be addressed to the Legal Department, Wiley Publishing, Inc., 10475 Crosspoint Blvd., Indianapolis, IN 46256, (317) 572-3447, fax (317) 572-4355, e-mail: brandreview@ wiley.com. Trademarks: Wiley, the Wiley Publishing logo, For Dummies, the Dummies Man logo, A Reference for the Rest of Us!, The Dummies Way, Dummies Daily, The Fun and Easy Way, Dummies.com, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates in the United States and other countries, and may not be used without written permission.