The Science DMZ
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Intrusion Detection Systems (IDS)
Intrusion Detection Systems (IDS) Adli Wahid Role of Detection in Security • Part of security monitoring o Violation of security policies o Indicators of compromise o Threat drive or Vulnerability driven o What’s happening on the network? • Rules o Detection is based on rules • Action • What do we do when detection happens? • Alert and Investigate • Drop / Block Perspective – Adversary Tactics and Techniques • Mitre Att&ck Framework https://attack.mitre.org • Tactics – what are the goals of the adversary? • Technique – how do they do it? • SubJect to: o Resources o Platforms • Can we used this knowledge for detection? o Observe Adversaries Behaviour o Techniques, Tactics and Procedures (TTPs) o Deploy in prevention, detection, response Your Adversaries Motives Infrastructure Targets Behaviour Your Assets Your Systems Reference: https://published-prd.lanyonevents.com/published/rsaus19/sessionsFiles/13884/AIR-T07-ATT%26CK-in-Practice-A-Primer-to-Improve-Your-Cyber-Defense-FINAL.pdf Reference: https://published-prd.lanyonevents.com/published/rsaus19/sessionsFiles/13884/AIR-T07-ATT%26CK-in-Practice-A-Primer-to-Improve-Your-Cyber-Defense-FINAL.pdf Making Your Infrastructure Forensics Ready • Detecting known or potentially malicious activities • Part of the incident response plan • If your infrastructure is compromised o Can you answer the questions: what happened and since when? o Can we ‘go back in time’ and how far back? • What information you you need to collect and secure? • Centralized logging Intrusion Detection Systems • An intrusion -
A Brief Study and Comparison Of, Open Source Intrusion Detection System Tools
International Journal of Advanced Computational Engineering and Networking, ISSN: 2320-2106, Volume-1, Issue-10, Dec-2013 A BRIEF STUDY AND COMPARISON OF, OPEN SOURCE INTRUSION DETECTION SYSTEM TOOLS 1SURYA BHAGAVAN AMBATI, 2DEEPTI VIDYARTHI 1,2Defence Institute of Advanced Technology (DU) Pune –411025 Email: [email protected], [email protected] Abstract - As the world becomes more connected to the cyber world, attackers and hackers are becoming increasingly sophisticated to penetrate computer systems and networks. Intrusion Detection System (IDS) plays a vital role in defending a network against intrusion. Many commercial IDSs are available in marketplace but with high cost. At the same time open source IDSs are also available with continuous support and upgradation from large user community. Each of these IDSs adopts a different approaches thus may target different applications. This paper provides a quick review of six Open Source IDS tools so that one can choose the appropriate Open Source IDS tool as per their organization requirements. Keywords - Intrusion Detection, Open Source IDS, Network Securit, HIDS, NIDS. I. INTRODUCTION concentrate on the activities in a host without considering the activities in the computer networks. Every day, intruders are invading countless homes On the other hand, NIDS put its focus on computer and organisations across the country via virus, networks without examining the hosts’ activities. worms, Trojans, DoS/DDoS attacks by inserting bits Intrusion Detection methodologies can be classified of malicious code. Intrusion detection system tools as Signature based detection, Anomaly based helps in protecting computer and network from a detection and Stateful Protocol analysis based numerous threats and attacks. -
Linux Networking Cookbook.Pdf
Linux Networking Cookbook ™ Carla Schroder Beijing • Cambridge • Farnham • Köln • Paris • Sebastopol • Taipei • Tokyo Linux Networking Cookbook™ by Carla Schroder Copyright © 2008 O’Reilly Media, Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (safari.oreilly.com). For more information, contact our corporate/institutional sales department: (800) 998-9938 or [email protected]. Editor: Mike Loukides Indexer: John Bickelhaupt Production Editor: Sumita Mukherji Cover Designer: Karen Montgomery Copyeditor: Derek Di Matteo Interior Designer: David Futato Proofreader: Sumita Mukherji Illustrator: Jessamyn Read Printing History: November 2007: First Edition. Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. The Cookbook series designations, Linux Networking Cookbook, the image of a female blacksmith, and related trade dress are trademarks of O’Reilly Media, Inc. Java™ is a trademark of Sun Microsystems, Inc. .NET is a registered trademark of Microsoft Corporation. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and O’Reilly Media, Inc. was aware of a trademark claim, the designations have been printed in caps or initial caps. While every precaution has been taken in the preparation of this book, the publisher and author assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. -
Ten Strategies of a World-Class Cybersecurity Operations Center Conveys MITRE’S Expertise on Accumulated Expertise on Enterprise-Grade Computer Network Defense
Bleed rule--remove from file Bleed rule--remove from file MITRE’s accumulated Ten Strategies of a World-Class Cybersecurity Operations Center conveys MITRE’s expertise on accumulated expertise on enterprise-grade computer network defense. It covers ten key qualities enterprise- grade of leading Cybersecurity Operations Centers (CSOCs), ranging from their structure and organization, computer MITRE network to processes that best enable effective and efficient operations, to approaches that extract maximum defense Ten Strategies of a World-Class value from CSOC technology investments. This book offers perspective and context for key decision Cybersecurity Operations Center points in structuring a CSOC and shows how to: • Find the right size and structure for the CSOC team Cybersecurity Operations Center a World-Class of Strategies Ten The MITRE Corporation is • Achieve effective placement within a larger organization that a not-for-profit organization enables CSOC operations that operates federally funded • Attract, retain, and grow the right staff and skills research and development • Prepare the CSOC team, technologies, and processes for agile, centers (FFRDCs). FFRDCs threat-based response are unique organizations that • Architect for large-scale data collection and analysis with a assist the U.S. government with limited budget scientific research and analysis, • Prioritize sensor placement and data feed choices across development and acquisition, enteprise systems, enclaves, networks, and perimeters and systems engineering and integration. We’re proud to have If you manage, work in, or are standing up a CSOC, this book is for you. served the public interest for It is also available on MITRE’s website, www.mitre.org. more than 50 years. -
การติดตั้ง Webserver โดยใช้ Freebsd
การติดต้งั WebServer โดยใช ้ FreeBSD 8.2 Rev001: Apr 1,2011 § การตดติ งั้ WebServer โดยใช ้ FreeBSD 8.2 § กรณีศกษาึ www.mu-ph.org โดย เสรมพิ นธั ุ ์ นตยิ นรา์ Email: [email protected] 1 เมษายน 2554 [** Rev01 : Apr 01,2011 **] * * * * * * * * * Objective: ต้องการทาํ WebServer ของ องค์กร ให้ทุกฝ่ ายในองค์กรม ี WebSite ใช้งาน โดยให้เนือท้ ฝี่ ่ ายละ 1 GBytes Specifications ของเครื่องที่ใช้ www# dmesg Copyright (c) 1992-2011 The FreeBSD Project. Copyright (c) 1979, 1980, 1983, 1986, 1988, 1989, 1991, 1992, 1993, 1994 The Regents of the University of California. All rights reserved. FreeBSD is a registered trademark of The FreeBSD Foundation. FreeBSD 8.2-RELEASE #0: Fri Feb 18 02:24:46 UTC 2011 [email protected]:/usr/obj/usr/src/sys/GENERIC i386 Timecounter "i8254" frequency 1193182 Hz quality 0 CPU: Intel(R) Xeon(TM) CPU 2.40GHz (2392.06-MHz 686-class CPU) Origin = "GenuineIntel" Id = 0xf29 Family = f Model = 2 Stepping = 9 Features=0xbfebfbff<FPU,VME,DE,PSE,TSC,MSR,PAE,MCE,CX8,APIC,SEP,MTRR,PGE,MCA,CMOV,PAT,PSE36,CLFLUSH,DTS,ACPI, MMX,FXSR,SSE,SSE2,SS,HTT,TM,PBE> Features2=0x4400<CNXT-ID,xTPR> real memory = 1073741824 (1024 MB) avail memory = 1036226560 (988 MB) ACPI APIC Table: <DELL PE1600SC> FreeBSD/SMP: Multiprocessor System Detected: 4 CPUs FreeBSD/SMP: 4 package(s) x 1 core(s) cpu0 (BSP): APIC ID: 0 cpu1 (AP): APIC ID: 1 cpu2 (AP): APIC ID: 6 cpu3 (AP): APIC ID: 7 แบ่ง partition ดังนี ้ www# df Filesystem 1K-blocks Used Avail Capacity Mounted on /dev/amrd0s1a 1012974 176512 755426 19% / devfs 1 1 0 100% /dev /dev/amrd0s1h 63488502 4 58409418 0% /backups /dev/amrd0s1g 1012974 12 931926 0% /tmp /dev/amrd0s1e 5077038 832996 3837880 18% /usr /dev/amrd0s1f 50777034 4 46714868 0% /usr/local/www /dev/amrd0s1d 15231278 278 14012498 0% /var www# โปรแกรมทลงี่ 1. -
Network Security Presentation
http://bit.ly/2LamWxj Network Security & Performance Jason Zurawski Scott Chevalier [email protected] [email protected] ESnet / Lawrence Berkeley National Laboratory Indiana University International Networks Linux Cluster Institute (LCI) Introductory Workshop University of Oklahoma May 15-16, 2019 This document is a result of work by volunteer LCI instructors and is licensed under CC BY- NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/). National Science Foundation Award #1826994 https://epoc.global Science DMZ as Security Architecture • Allows for better segmentation of risks, more granular application of controls to those segmented risks. • Limit risk profile for high-performance data transfer applications • Apply specific controls to data transfer hosts • Avoid including unnecessary risks, unnecessary controls • Remove degrees of freedom – focus only on what is necessary • Easier to secure • Easier to achieve performance • Easier to troubleshoot Science DMZ Security • Goal : Disentangle security policy and enforcement for science flows from security for business systems • Rationale • Science data traffic is simple from a security perspective • Narrow application set on Science DMZ • Data transfer, data streaming packages • No printers, document readers, web browsers, building control systems, financial databases, staff desktops, etc. • Security controls that are typically implemented to protect business resources often cause performance problems • Separation allows each to be optimized Performance is a Core Requirement •Core information security principles • Confidentiality, Integrity, Availability (CIA) •In data-intensive science, performance is an additional core mission requirement: CIA PICA • CIA principles are important, but if the performance isn’t there the science mission fails • This isn’t about “how much” security you have, but how the security is implemented • Need to appropriately secure systems without performance compromises Motivations • The big myth: The main goal of the Science DMZ is to avoid firewalls and other security controls. -
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. -
Active Response Using Host-Based Intrusion Detection System and Software-Defined Networking Jonathon S
Air Force Institute of Technology AFIT Scholar Theses and Dissertations Student Graduate Works 3-23-2017 Active Response Using Host-Based Intrusion Detection System and Software-Defined Networking Jonathon S. Goodgion Follow this and additional works at: https://scholar.afit.edu/etd Part of the Digital Communications and Networking Commons, and the Information Security Commons Recommended Citation Goodgion, Jonathon S., "Active Response Using Host-Based Intrusion Detection System and Software-Defined Networking" (2017). Theses and Dissertations. 1575. https://scholar.afit.edu/etd/1575 This Thesis is brought to you for free and open access by the Student Graduate Works at AFIT Scholar. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of AFIT Scholar. For more information, please contact [email protected]. ACTIVE RESPONSE USING HOST-BASED INTRUSION DETECTION SYSTEM AND SOFTWARE-DEFINED NETWORKING THESIS Jonathan S. Goodgion, 2d Lt, USAF AFIT-ENG-MS-17-M-032 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY AIR FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A: APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. The views expressed in this document are those of the author and do not reflect the official policy or position of the United States Air Force, the United States Department of Defense or the United States Government. This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. AFIT-ENG-MS-17-M-032 ACTIVE RESPONSE USING HOST-BASED INTRUSION DETECTION SYSTEM AND SOFTWARE-DEFINED NETWORKING THESIS Presented to the Faculty Department of Electrical and Computer Engineering Graduate School of Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command in Partial Fulfillment of the Requirements for the Degree of Master of Science in Cyber Operations Jonathan S. -
Securing Cloud from Intrusion Attacks Using Intrusion Detection System in Virtual Machine Environment
ISSN (Online) 2278-1021 IJARCCE ISSN (Print) 2319-5940 International Journal of Advanced Research in Computer and Communication Engineering ISO 3297:2007 Certified Vol. 7, Issue 4, April 2018 Securing Cloud from Intrusion Attacks using Intrusion Detection System in Virtual Machine Environment Prof. Mr. M. K. Nivangune1, Ms. Kanchan Bairagi2, Ms. Archita Kotkar3, Mr. Vishnukant Salunke4 Department of Information Technology, Sinhgad Academy of Engineering, Pune, India1,2,3,4 Abstract: In a public cloud computing environment, consumers cannot always just depend on the cloud provider’s security infrastructure. They may need to monitor and protect their virtual existence by implementing their own intrusion detection capabilities along with other security technologies within the cloud fabric. Traditional Intrusion Detection Systems (IDSeS) are not suitable for these environments due to their openness and limited essence. Intrusion Detection System as a Service (IDSaaS), monitors a system or a network for illegal activities in public cloud (IaaS) by providing intrusion detection technology that is portable, secure and fully controlled by the cloud service providers (CSPs). A prototype of IDS is described. Keywords: Security; Cloud Computing; Intrusion Detection System, Handling bulky attacks. I. INTRODUCTION Considering today’s scenario, security is the major concern in vast and fast growing computer networks. We have heard of various data breaches due to poor and limited essence of an Intrusion Detection Systems (IDSeS). Hence a strong Intrusion Detection System is the essential task in day-to-day life practices. There are various approaches being used for intrusion detection. In this paper, we present an Intrusion Detection System model to be deployed using K-Mean Algorithm for determining various types of intrusions or attacks. -
Evaluation of Intrusion Detection Systems Under Denial of Service Attack in Virtual
Master of Science in Computer Science Engineering October 2017 Evaluation of Intrusion Detection Systems under Denial of Service Attack in virtual Environment Comparative study of Snort, Suricata and OSSEC Venkatesh Nagadevara Faculty of Computing Blekinge Institute of Technology SE-371 79 Karlskrona Sweden This thesis is submitted to the Faculty of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Computer Science Engineering. The thesis is equivalent to 20 weeks of full time studies. Contact Information: Author(s): Venkatesh Nagadevara E-mail: [email protected] University advisor: Emiliano Casalicchio Department of Computer Science and Engineering Faculty of Computing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE-371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 i ABSTRACT Context. The intrusion detection systems are being widely used for detecting the malicious traffic in many industries and they use a variety of technologies. Each IDs had different architecture and are deployed for detecting malicious activity. Intrusion detection system has a different set of rules which can defined based on requirement. Therefore, choosing intrusion detection system for and the appropriate environment is not an easy task. Objectives. The goal of this research is to evaluate three most used open source intrusion detection systems in terms of performance. And we give details about different types of attacks that can be detected using intrusion detection system. The tools that we select are Snort, Suricata, OSSEC. Methods. The experiment is conducted using TCP, SCAN, ICMP, FTP attack. -
Webserver-Freebsd-7-2.Pdf
µ¦·´Ê WebServer Ã¥Äo FreeBSD 7.2 § дѥішѧчшѤѸк WebServer ѱчѕѲнҖ FreeBSD 7.2 § діцѨћѩдќѥ www.mu-ph.org ѱчѕ ѯѝіѧєёѤьыѫҙ ьѧшѕҙьіѥ Email: [email protected] 12 ѝѧкўѥзє 2552 * * * * * * * * * Objective: шҖѠкдѥіъѼѥ WebServer еѠк Ѡкзҙді ѲўҖъдѐѫ ҐѥѕѲьѠкзҙдієѨ WebSite ѲнҖкѥь ѱчѕѲўҖ ѯьѪѸѠъзьјѣѨѷ 5 GBytes Specifications °Á¦ºÉ°¸ÉÄo CPU: Intel(R) Xeon(R) CPU E5405 @ 2.00GHz (1995.01-MHz 686-class CPU) Origin = "GenuineIntel" Id = 0x1067a Stepping = 10 Ram 2G HardDisk IDE 500G ¨³ 250 εª°o° o°Â¦ 500G ¦oµ / , swap ¨³ /backups o°¸É° 250G ¦oµ /var , /tmp , /usr ¨³ /usr/local Lan card 1 Ä (onboard) Ân partion ´¸Ê www# df Filesystem 1K-blocks Used Avail Capacity Mounted on /dev/ad5s1a 507630 146844 320176 31% / devfs 1 1 0 100% /dev /dev/ad7s1g 400913540 16644420 352196038 5% /backups /dev/ad7s1e 1012974 12 931926 0% /tmp /dev/ad7s1f 10154158 1150928 8190898 12% /usr /dev/ad5s1d 231978828 4 213420518 0% /usr/local /dev/ad7s1d 60931274 1066 56055708 0% /var www# ѱюіѰдієъѨѷјк 1. ÂoŠ¢j¤¸ÉεÁ} 2. Compile Kernel Á¡ºÉ°Ä®o¦°¦´ Firewall ¨³ Quota 3. Update ports tree 4. µ¦·´Ê Firewall 5. µ¦Îµ Quota 6. ·´Ê mysql50-server 7. ·´Ê Apache22 8. ·´Ê PHP5 9. ·´Ê PHP5-extensions 10. ·´Ê ZendOptimizer 11. ·´Ê webmin 12. ·´Ê phpmyadmin 13. ·´Ê vsftp 14. ·´Ê awstats 15. ·´Ê ntp 16. ·´Ê clamav 17. ·´Ê hostsentry 18. ·´Ê portsentry 19. ·´Ê lynx 20. ·´Ê phpbb3 21. ·´Ê denyhosts 22. µ¦ Backup Áª µ¦·´Ê WebServer Ã¥Äo FreeBSD 7.2 Ã¥ Á¦·¤¡´»r ¥· r¦µ Page 1 µ¦·´Ê WebServer Ã¥Äo FreeBSD 7.2 јѼѥчѤэъѨѷ 1). -
Leveraging Data from Open-Source Intrusion Detection Systems for Enhancing Security of Systems
Leveraging Data from Open-Source Intrusion Detection Systems for Enhancing Security of Systems Viren Chhabria A Dissertation Presented to the University of Dublin, Trinity College in partial fulfilment of the requirements for the degree of Master of Science in Computer Science (Data Science) Supervisor: Dr. Stephen Farrell August 2019 Declaration I, the undersigned, declare that this work has not previously been submitted as an exercise for a degree at this, or any other University, and that unless otherwise stated, is my own work. Viren Chhabria August 14, 2019 Permission to Lend and/or Copy I, the undersigned, agree that Trinity College Library may lend or copy this thesis upon request. Viren Chhabria August 14, 2019 To my mother, Bhavna R Chhabria and father, Rajkumar T Chhabria, for their endless love and support! Acknowledgments I would like to express my sincere gratitude to my supervisor Dr. Stephen Farrell for his constant support and supervision. His knowledge and experience helped me over- come challenging situations during the course of this dissertation. A big thank you to my parents and family for enabling me to pursue my MSc program at Trinity College Dublin and supporting me throughout this wonderful journey. I would like to thank Prof. Khurshid Ahmad, for mentoring, motivating and support- ing me. Last, but not the least, I would like to thank my friends. Ankita for motivating me throughout the project. Arun and Debrup for providing me innovative ideas and technical guidance. Rohit, for helping me with machine learning during the project. Dr. Husanbir Singh Pannu for motivating me and providing tips for efficient writing.