How to Improve the Iot Security Implementing IDS/IPS Tool Using Raspberry Pi 3B+

Total Page:16

File Type:pdf, Size:1020Kb

How to Improve the Iot Security Implementing IDS/IPS Tool Using Raspberry Pi 3B+ (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 9, 2019 How to Improve the IoT Security Implementing IDS/IPS Tool using Raspberry Pi 3B+ 1 Ruíz-Lagunas Juan Jesús Reyes-Gutiérrez Mauricio René3 Departamento de Sistemas y Computación, TecNM/I.T. Facultad de Ingeniería Eléctrica-UMSNH/Departamento de Morelia and Universidad Vasco de Quiroga Sistemas y Computación TecNM/I.T. Morelia Morelia, México Morelia, México 2 Antolino-Hernández Anastacio , Torres-Millarez Ferreira-Medina Heberto4 5 6 Cristhian , Paniagua-Villagómez Omar Unidad de TICs, IIES-UNAM and Departamento de Sistemas Departamento de Sistemas y Computación y Computación, TecNM/I.T. Morelia TecNM/I.T. Morelia, Morelia, México Morelia, México Abstract—This work shows a methodology of implementation The concept of “smart” devices is inherent in connectivity and testing of the system is proposed and tested with a prototype; to obtain benefits from the information [2]. Industry it is constructed with sensors and actuators that allow monitoring automation, and monitoring systems are the main reasons for the behavior of the system in an environment under threats. We this technology’s success, so data networks are being unified used an IDS / IPS as a protection tool for IoT systems, based on with production networks to achieve these benefits. It has been Raspberry Pi and Raspbian operating system. It is described in a estimated that in 2018 there were more than 7 billion IoT block diagram the testing method used. We implemented the devices [3]. It is estimated that by 2020 there will be more than IDS/IPS Snort tool in an embedded platform Raspberry. It 10 billion and more than 22 billion by 2025. This worldwide presents also the state of the art of cloud frameworks that have trend is due to the growing demand to connect devices to the the same objective of protecting. The main contribution is the networks. implemented testing method for Snort that can be used with security rules in other applications of embedded IoT devices. With this trend, has been observed clearly that the way of the information interchange with technology will change, but at Keywords—Security IoT; IDS/IPS software; Pentesting tools; what cost? Due to the demand for interconnection, many IoT smart cities; prototype Raspberry developers do not consider the security in communication for many reasons: Amongst these, we have processing costs, I. INTRODUCTION training and algorithm implementation. Today, Information Technology (IT) is immersed in the use and exploitation of telecommunications networks, to which IoT devices are considered to have many weaknesses in more devices are connecting every day to communicate with information security since their development. The following each other (Peer to Peer) and to a central device (client-server). are examples described below: Internet of Things (IoT) offers wide range state of the art Passwords stored in plain text. solutions, using sensors and/or devices, which monitor to control certain events, giving rise to new challenges to IT Outdated firmware and not encryption. security, since information gathered can be compromised by this variety of components. Internet of Things (IoT) is a Video streaming without encryption. concept defined by Kevin Ashton in 1999, which describes a Communication between devices and servers in plain network that connects people and objects [1]. These objects, text. right now, allow computers to have “sensors”, which facilitate them, not only to process information but gather more Over-shared data (influence of cloud utilization). information through these devices, allowing applications to be Development bugs in the firmware. even more “intelligent”, since it is possible to make decisions in real-time, based on a major quantity of information. It is Use of default passwords. possible to assure that since the first implementation of IoT up until date there are millions of sensors interconnected. Devices have a direct interface to the internal network, but they can be connected to the Internet, making increase an attack risk exponentially. Sponsors TecNM/I.T. Morelia and IIES-UNAM, México 399 | P a g e www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 9, 2019 In addition, it has known that hackers are exploiting these Section III describes IDS/IPS tools, in Section IV describes the vulnerabilities with current tools and techniques of their own to methodology, Section V shows the results about this work, and achieve that goal. One of the most recent tools to detect finally, in Section VI shows conclusions. vulnerabilities in IoT devices is Autosploit [4], since it uses artificial intelligence in its algorithms [5]. II. SECURITY IN IOT The main contribution of this paper is to present a testing As a response to exposed security problems, the main method for IDS/IPS and the comparison of its response software developers propose various strategies to guarantee implemented on the Raspberry platform to Nmap and security in interconnection components. According to [6] the Metasploit of network attacks. The paper is organized as expansion of IoT, it has been developing in the following follows: Section II deals with actual security in IoT, in areas, see Table I. TABLE. I. IOT EXPANSION AREAS BASED ON [6] Description IoT development areas Elements Opportunities Challenges - Health care. - Consumer and Retail businesses. Technologies that promote Ensure secure information and data Smart life - Bank Convergence. simplifications in the lives of the exchange. - Security. users. - Public services - Intelligent vehicles - Urban mobility. - Intercity mobility. Real-time solutions that make Secure interconnection and secure real- Smart mobility - Rate management and payment mobility simpler and transport time monitoring and activation. solutions. reliable. - Distribution and logistics. -Fleet management. - Intelligent infrastructure management. - Cross-agency collaboration using the The innovations will aim to cloud. Ensure that users exchange improve the quality of life in the Smart Cities - Data collection in real time and quickly. information in real time and keep their city. Using sensors and systems - Better planning of cities. data protected against hackers. that help in decision-making. -Network utilities. -Construction Development. - Machine learning. -Communication between machines. Smart solutions to optimize Keep process information safe, - Network interconnection. Smart manufacturing production processes, controls and interconnections between machines -Optimization of processes. quality. using secure protocols. -Proactive asset management. - Improve infrastructure integration. features of these proposals that are a reference as a framework III. FRAMEWORKS FOR SECURITY IN IOT and cloud computing. A. Frameworks in the Cloud The list of platforms shown in Table III is compared by the According to [7] the challenge in IoT, security will be to type of framework and the security mechanisms they offer with build services that can be integrated into different software encryption method, in a mobile application (App) or any API. solutions. In platforms described in [8], [9], [10], [11], [12] and Despite the implementation of different security schemes [13] a set of services oriented to software and hardware both in the device, in the interconnection and in the cloud, solutions to offer layers of security at different levels, working these do not guarantee that the IoT components are free from from the platform (PaaS, Platform as a Service), and services attacks using the different layers of the communication (SaaS, Software as a Service), which are offered with auto- protocols [20]. service, cost and on-demand schemes. Table II shows the main 400 | P a g e www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 9, 2019 TABLE. II. MAIN FRAMEWORKS IN THE CLOUD THAT OFFER SECURITY FOR IOT Framework Description Elements Security Oriented to platforms with clients It offers a cloud platform, as well as IoT hardware, - Software for devices. and servers using secure Amazon Web Services IoT operating system, software and cloud connectivity - Service control. interconnection mechanisms, it [8] services, security layers, monitoring, and - Data services. offers cryptography and monitoring administration software for PaaS services. - Secure interconnection services. services. They offer a cloud platform with open and flexible - Device layer. It offers an exchange of information services to connect securely, monitor and manage -Interconnection layer. with the devices, using languages Microsoft Azure IoT Hub [9] IoT devices and develop applications using open - Cloud access layer. such as NodeJS, .Net, Java, Python, source SDK (Development Kit) and multiple - Hub layer. Android, IOS and C. It establishes protocols. Working under a SaaS scheme. - Back-End for Apps. layers of security for the connection. It offers a PaaS scheme, which allows you to It offers connectivity with IOS, - Software for devices. connect IoT devices to the cloud, analyze data in Android and any device that uses Oracle Internet of Things - Hub for access to cloud real time to integrate it into business applications, Java, Posix C, and the RESTful Cloud Services [10] services. allows you to establish web services and any other protocol offers a cryptography - Offers a wide range of SaaS. Oracle proprietary service.
Recommended publications
  • 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
    [Show full text]
  • USING LUA for DETECTION and MALWARE TRAFFIC ANALYSIS Dr Chris Wakelin, Senior Threat Analyst, Proofpoint November 2018
    MOONSTRUCK: USING LUA FOR DETECTION AND MALWARE TRAFFIC ANALYSIS Dr Chris Wakelin, Senior Threat Analyst, Proofpoint November 2018 1 © 2018 Proofpoint, Inc. Introduction . “Lua” is Portuguese for “Moon” . Small extensible language . Considered “well-engineered” by experts : . “If you read ... you'll see that the Lua team were well aware of many developments in programming languages and were able to choose from among the best ideas. Most designers of popular scripting languages have been amateurs and have not been nearly so well informed ... Lua is superbly designed so that the pieces fit together very nicely, with an excellent power-to-weight ratio ... Lua is superbly engineered. The implementation is just staggeringly good ...” . Currently used in . Wireshark . Games (Angry Birds, Crysis, Far Cry, Gary’s Mod …) . etc. 2 © 2018 Proofpoint, Inc. Introduction . Lua(jit) scripting support added initially in September 2012 . After suggestion by Will Metcalf of Emerging Threats . Lua Output support added March 2014 . Lua flowvar support added in 2013 . but only viewable (logged) from December 2016 3 © 2018 Proofpoint, Inc. Lua vs LuaJIT . LuaJIT – Just-In-Time compiler for Lua . Stable version 2.0.5 . Ubuntu 16.04 LTS included 2.0.4 . Development – version 2.1beta3 (for 18 months …) . Included in Ubuntu 18.04 LTS though . Some caveats . Based on older Lua 5.1 . Latest Lua is version 5.4 . Need to pre-allocate buffers in Suricata . Probably best to stick to Lua 5.1 features 4 © 2018 Proofpoint, Inc. Lua/LuaJIT options Suricata “configure” options (pick one) --enable-lua Enable Lua support --enable-luajit Enable Luajit support suricata.yaml … # Luajit has a strange memory requirement, it's 'states' need to be in the # first 2G of the process' memory.
    [Show full text]
  • Downloads." the Open Information Security Foundation
    Performance Testing Suricata The Effect of Configuration Variables On Offline Suricata Performance A Project Completed for CS 6266 Under Jonathon T. Giffin, Assistant Professor, Georgia Institute of Technology by Winston H Messer Project Advisor: Matt Jonkman, President, Open Information Security Foundation December 2011 Messer ii Abstract The Suricata IDS/IPS engine, a viable alternative to Snort, has a multitude of potential configurations. A simplified automated testing system was devised for the purpose of performance testing Suricata in an offline environment. Of the available configuration variables, seventeen were analyzed independently by testing in fifty-six configurations. Of these, three variables were found to have a statistically significant effect on performance: Detect Engine Profile, Multi Pattern Algorithm, and CPU affinity. Acknowledgements In writing the final report on this endeavor, I would like to start by thanking four people who made this project possible: Matt Jonkman, President, Open Information Security Foundation: For allowing me the opportunity to carry out this project under his supervision. Victor Julien, Lead Programmer, Open Information Security Foundation and Anne-Fleur Koolstra, Documentation Specialist, Open Information Security Foundation: For their willingness to share their wisdom and experience of Suricata via email for the past four months. John M. Weathersby, Jr., Executive Director, Open Source Software Institute: For allowing me the use of Institute equipment for the creation of a suitable testing
    [Show full text]
  • Securing Security Tools Suricon Ö.Wï
    Securing Security Tools SuriCon ö.wÏ Pierre Chiìier [email protected] French National Information Security Agency ö.wÏ ANSSI ◮ Created on July Åth ö..R, theANSSI (FrenchNetwork and Information SecurityAgency)isthe national authorityfor the defense and the security of information systems. ◮ Under the authority of the Prime Minister ◮ Main missions are: ◮ prevention ◮ defense of information systems ◮ awareness-rising http://www.ssi.gouv.fr/en/ ANSSI Securing Security Tools ö/öÏ Securing Security Tools Objectives of this talk: ◮ Improving security of tools ◮ Not on small steps,but trying to solve problems ◮ Consider alternatives to common solutions ◮ Test our claims ANSSI Securing Security Tools é/öÏ What is a network IDS ? A device that ◮ monitors network for malicious activity ◮ does stateful protocol analysis ◮ raises alerts to the administrators ◮ has to be fast ANSSI Securing Security Tools ÿ/öÏ What is a network IDS ? From the security point of view, a NIDS is: ◮ exposed to malicious traíc ◮ running lots of protocols dissectors ◮ connected to the admin network ◮ coded for performance ANSSI Securing Security Tools ó/öÏ Root causes ◮ Bad speciícations ◮ when they exist ◮ Design complexity and attack surface ◮ Formats complexity ◮ Programming language ◮ Paradox: many security tools are not securely coded ◮ “I’ll íx it later” ◮ Infosec peopleconsidering it’s “not their job” ANSSI Securing Security Tools Ï/öÏ Mimimal solutions ◮ Finding vulns does not (really)help security! ◮ But it helps (raising awareness, demonstrating the
    [Show full text]
  • Release 3.2Dev OISF
    Suricata User Guide Release 3.2dev OISF Jun 07, 2017 Contents 1 What is Suricata 1 1.1 About the Open Information Security Foundation............................1 2 Installation 3 2.1 Source..................................................3 2.2 Binary packages.............................................4 2.3 Advanced Installation..........................................5 3 Command Line Options 7 3.1 Unit Tests.................................................9 4 Suricata Rules 11 4.1 Rules Introduction............................................ 11 4.2 Meta-settings............................................... 16 4.3 Header Keywords............................................ 20 4.4 Prefilter.................................................. 31 4.5 Payload Keywords............................................ 32 4.6 HTTP Keywords............................................. 51 4.7 Flow Keywords.............................................. 67 4.8 Flowint.................................................. 70 4.9 Xbits................................................... 72 4.10 File Keywords.............................................. 73 4.11 Rule Thresholding............................................ 75 4.12 DNS Keywords.............................................. 77 4.13 SSL/TLS Keywords........................................... 78 4.14 Modbus Keyword............................................ 81 4.15 DNP3 Keywords............................................. 82 4.16 ENIP/CIP Keywords..........................................
    [Show full text]
  • A Comparative Analysis of the Snort and Suricata Intrusion-Detection Systems
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Calhoun, Institutional Archive of the Naval Postgraduate School Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 2011-09 A comparative analysis of the Snort and Suricata intrusion-detection systems Albin, Eugene Monterey, California. Naval Postgraduate School http://hdl.handle.net/10945/5480 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS A COMPARATIVE ANALYSIS OF THE SNORT AND SURICATA INTRUSION-DETECTION SYSTEMS by Eugene Albin September 2011 Thesis Advisor: Neil Rowe Second Reader: Rex Buddenberg Approved for public release; distribution is unlimited THIS PAGE INTENTIONALLY LEFT BLANK REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED September 2011 Master’s Thesis 4. TITLE AND SUBTITLE 5. FUNDING NUMBERS A Comparative Analysis of the Snort and Suricata Intrusion-Detection Systems 6. AUTHOR(S) Eugene Albin 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8.
    [Show full text]
  • Suricata IDPS and Its Interaction with Linux Kernel
    Suricata IDPS and its interaction with Linux kernel Eric Leblond, Giuseppe Longo Stamus Networks France, Italy [email protected] [email protected] Abstract All reconstructions that are handled differently by operating system due to RFC incompletion or bad implementation must Suricata is an open source network intrusion detection and pre- be taken into account by the IDS. If streaming is not done this vention system. It analyzes the traffic content against a set of signatures to discover know attacks and also journalize proto- way, then attackers can abuse this interpretation mistake to col information. get this attack unnoticed. For instance, if they attack a Win- One particularity of IDS systems is that they need to analyze dows operating system seen as a Linux by the IDS, they just the traffic as it is seen by the target. For example, the TCP need to use a TCP segmentation scheme that is done differ- streaming reconstruction has to be done the same way it is done ently on Linux and on Windows so the IDS will see a content on the target operating systems and for this reason it can’t rely that is not the one received by the target. This kind of tech- on its host operating system to do it. nique is called evasion [4] and it is available in attack tools Suricata interacts in a number of ways with the underlying just as Metasploit [2]. For this reason it can’t rely on the op- operating system to capture network traffic. Under Linux erating system it is running on to do it.
    [Show full text]
  • Based Intrusion Detection System
    EXAMENSARBETE INOM ELEKTRONIK OCH DATORTEKNIK, GRUNDNIVÅ, 15 HP STOCKHOLM, SVERIGE 2019 Machine Learning for a Network- based Intrusion Detection System Maskininlärning för ett Nätverksbaserat Intrångsdetekteringssystem VILHELM GUSTAVSSON KTH SKOLAN FÖR ELEKTROTEKNIK OCH DATAVETENSKAP Machine Learning for a Network-based Intrusion Detection System An application using Zeek and the CCIDS2017 dataset Swedish title: Maskininl¨arningf¨orett N¨atverksbaserat Intr˚angsdetekteringssystem Thesis project for the degree: Bachelor of Science in Computer Engineering Vilhelm Gustavsson May 2019 Royal Institute of Technology, KTH School of Electrical Engineering and Computer Science Stockholm, Sweden TRITA-CBH-GRU-2019:033 Abstract Cyber security is an emerging field in the IT-sector. As more devices are con- nected to the internet, the attack surface for hackers is steadily increasing. Network-based Intrusion Detection Systems (NIDS) can be used to detect ma- licious traffic in networks and Machine Learning is an up and coming approach for improving the detection rate. In this thesis the NIDS Zeek is used to extract features based on time and data size from network traffic. The features are then analyzed with Machine Learning in Scikit-learn in order to detect malicious traf- fic. A 98.58% Bayesian detection rate was achieved for the CICIDS2017 which is about the same level as the results from previous works on CICIDS2017 (with- out Zeek). The best performing algorithms were K-Nearest Neighbors, Random Forest and Decision Tree. Sammanfattning (Swedish abstract) IT-s¨akerhet ¨ar ett v¨axande f¨alt inom IT-sektorn. I takt med att allt fler sa- ker ansluts till internet, ¨okar ¨aven angreppsytan och risken f¨or IT-attacker.
    [Show full text]
  • Running Bro on BSD
    Running Bro on BSD An analysis of high performance solutions running on BSD operating systems. Michael Shirk BroCon 2016 @Shirkdog http://github.com/Shirkdog Agenda l Introduction l Bro is awesome l Why FreeBSD? l High Performance and FreeBSD l FreeBSD at the Berkley Lab l PF_RING vs. netmap l OpenBSD Rant Warning l Whenever you see the beastie with a hammer, there is a potential for some BSD bias to slip in. l The goal is to minimize this throughout the talk. l All information not cited in this talk is based on personal experience or opinion (marked with an asterisk *). Introduction l Worked in IDS/IPS since 2003 (various positions including consulting) - Engines: Snort, Suricata, Dragon and now Bro (also had to work with McAfee, ISS, NFR … others) - Signatures for Emerging Threats (since they were Bleeding Edge Snort) l Support Open Source Security Tools and Software - Maintain pulledpork for Snort/Suricata (rule updating script): http://github.com/shirkdog/pulledpork - Active community member of open source projects: l Operating Systems: FreeBSD, OpenBSD, HardenedBSD l Security Tools: Snort, Suricata, AIDE, Bro (starting) Bro Beginnings l 2013 – Bro setup on Linux with PF_RING and Suricata ( Dell R610 12 Core 32GB Appliance) - PoC was Security Onion, the production setup was on Ubuntu with PF_RING, Suricata and nothing else. - Gigamon TAP aggregated data to a single 10Gb Fiber interface fed to the Bro/Suricata sensor. - ~700Mbps peak, ~350Mbps non-peak l Bro logs were fed into Splunk (modified Splunk_TA_Bro to work with log formats) l Set it and forget it, it's just that simple.
    [Show full text]
  • Writing Parsers Like It Is 2017
    Writing parsers like it is 2017 Pierre Chifflier1 and Geoffroy Couprie2 [email protected] [email protected] 1 ANSSI 2 Clever Cloud Abstract. Despite being known since a long time, memory violations are still a very important cause of security problems in low-level programming languages containing data parsers. We address this problem by proposing a pragmatic solution to fix not only bugs, but classes of bugs. First, using a fast and safe language such as Rust, and then using a parser combinator. We discuss the advantages and difficulties of this solution, and we present two cases of how to implement safe parsers and insert them in large C projects. The implementation is provided as a set of parsers and projects in the Rust language. 1 Introduction 1.1 Manipulating data and related problems In 2016, like every year for a long time, memory corruption bugs have been one of the first causes of vulnerabilities of compiled programs [2]. When looking at the C programming language, many errors lead to memory corruption: buffer overflow, use after free, double free, etc. Some of these issues can be complicated to diagnose, and the consequence is that a huge quantity of bugs is hidden in almost all C software. Any software manipulating untrusted data is particularly exposed: it needs to parse and interpret data that can be controlled by the attacker. Unfortunately, data parsing is often done in a very unsafe way, especially for network protocols and file formats. For example, many bugs were discovered in media parsing libraries in Android [12], leading to the possible remote exploitation of all devices by a simple MMS message.
    [Show full text]
  • Snort, Suricata and Bro Intrusion Detection Systems in Perspective
    International Journal of Computer Applications (0975 – 8887) Volume 176 – No. 40, July 2020 Comparative Analysis of the Performance of Network Intrusion Detection Systems: Snort, Suricata and Bro Intrusion Detection Systems in Perspective Godwin Kudjo Bada Williams Kwame Nabare Daniel Kwame Kwansah E.P. College of Education, Valley View University, Ghana Quansah Amedzofe, Ghana Department of Information University of Cape Coast, Ghana Department of Mathematics and ICT Technology Department of Medical Education and IT ABSTRACT 3. RESEARCH QUESTIONS There exists a number of intrusion detection systems a. How do open-source IDSs such as Snort, Suricata particularly those that are open-source. These intrusion and Bro respond to specific network attacks? detection systems have their strengths and weaknesses when it comes to intrusion detection. This work compared the b. What are the levels of false and negative alarms performance of open-source intrusion detection systems generated by open-source IDSs such Snort, Suricata namely Snort, Suricata and Bro. The comparative analysis of and Bro for normal and malicious network traffic? these intrusion detection systems was carried out to present an 4. LITERATURE REVIEW independent view of their performance regarding intrusion detection. It took into consideration their effectiveness in 4.1 Snort as Signature-based IDS detecting Denial of Service, probe, scan, User-to-Local and Snort engine by its design allows for a single rule to be User-to-Root attacks and also detection accuracy in terms of applied to different network protocols. The Snort software false positive, false negative and true positive alarms. All carries out analysis of protocol and content matching.
    [Show full text]
  • Release 4.1.0-Dev OISF
    Suricata User Guide Release 4.1.0-dev OISF Sep 24, 2019 Contents 1 What is Suricata 1 1.1 About the Open Information Security Foundation............................1 2 Installation 3 2.1 Source..................................................3 2.2 Binary packages.............................................5 2.3 Advanced Installation..........................................5 3 Command Line Options 7 3.1 Unit Tests................................................. 10 4 Suricata Rules 11 4.1 Rules Format............................................... 11 4.2 Meta Keywords.............................................. 16 4.3 IP Keywords............................................... 19 4.4 TCP keywords.............................................. 23 4.5 ICMP keywords............................................. 25 4.6 Payload Keywords............................................ 29 4.7 Transformations............................................. 44 4.8 Prefiltering Keywords.......................................... 45 4.9 Flow Keywords.............................................. 49 4.10 Bypass Keyword............................................. 54 4.11 HTTP Keywords............................................. 54 4.12 File Keywords.............................................. 74 4.13 DNS Keywords.............................................. 77 4.14 SSL/TLS Keywords........................................... 78 4.15 SSH Keywords.............................................. 81 4.16 JA3 Keywords.............................................
    [Show full text]