1) The document proposes enhancing IDS systems with honeypot placement to detect zero-day attacks. A new network architecture is designed where honeypots attract attackers and log their activities to generate IDS signatures.
2) Experimental setup involves deploying a honeypot server using Honeyd and Arpd to monitor unused IP space and direct attacks. Tcpdump is used to analyze traffic and payloads directed at the honeypot.
3) Analysis of honeypot logs is used to write custom IDS rules matching observed payloads. This allows detection of new attacks before they can harm the internal network.
Final Year Engineering Internship Report for Internship at Siemens Information Systems Ltd. Project : Network Intrusion Detection And Prevention Using Snort And Iptables
Cloudslam09:Building a Cloud Computing Analysis System for Intrusion DetectionWei-Yu Chen
In order to resolve huge amount of anomaly
information generated by Intrusion Detection System (IDS), this paper presents and evaluates a log analysis system for IDS based on Cloud Computing technique,
named IDS Cloud Analysis System (ICAS). To achieve this, there are two basic components have to be designed. First is the regular parser, which normalizes
the raw log files. The other is the Analysis Procedure, which contains Data Mapper and Data Reducer. The Data Mapper is designed to anatomize alert messages and the Data Reducer is used to aggregates and merges. As a result, this paper will show that the
performance of ICAS is suitable for analyzing and reducing large alerts.
Final Year Engineering Internship Report for Internship at Siemens Information Systems Ltd. Project : Network Intrusion Detection And Prevention Using Snort And Iptables
Cloudslam09:Building a Cloud Computing Analysis System for Intrusion DetectionWei-Yu Chen
In order to resolve huge amount of anomaly
information generated by Intrusion Detection System (IDS), this paper presents and evaluates a log analysis system for IDS based on Cloud Computing technique,
named IDS Cloud Analysis System (ICAS). To achieve this, there are two basic components have to be designed. First is the regular parser, which normalizes
the raw log files. The other is the Analysis Procedure, which contains Data Mapper and Data Reducer. The Data Mapper is designed to anatomize alert messages and the Data Reducer is used to aggregates and merges. As a result, this paper will show that the
performance of ICAS is suitable for analyzing and reducing large alerts.
REAL-TIME INTRUSION DETECTION SYSTEM FOR BIG DATAijp2p
The objective of the proposed system is to integrate the high volume of data along with the important
considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack
occurred, the Intrusion Detection System automatically store the log in distributed environment and
monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the
severity of the log to high, medium, and low respectively. After the categorization, the system will
automatically take necessary action against the user-unit with respect to the severity of the log. The
advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or
reports based on abnormal behaviour.
Network Intrusion Prevention by Configuring ACLs on the Routers, based on Sno...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
Order vs. Mad Science: Analyzing Black Hat Swarm IntelligencePriyanka Aash
White hat defense systems continue to improve on supervised learning sets using machine and deep learning neural networks to defend against an exploding attack surface. Zombies that require commands from botnet herders are becoming intelligent, capable of their own decisions as we saw with Hajime in 2017. Swarm intelligence can be used to enhance these networks. What can we do to defend?
Learning Objectives:
1: Learn about the current state of black hat automation/AI practices.
2: Understand the next stage of black hat swarm intelligence hive networks
3: Gain insight into practical defense approaches using white hat automation and AI.
(Source: RSA Conference USA 2018)
ids&ips technique is used to capture logs,sessions,port no,trojans,and malicious activity on the networkand servers.here u can get detailed about ids and ips techniques
Using Genetic algorithm for Network Intrusion DetectionSagar Uday Kumar
Using Genetic algorithm for Network Intrusion Detection : Genetic Algorithm IDS involves detecting the intrusion based on the log history, possible intrusions that are likely to occur. In Genetic Algorithm, each connection will be considered as a chromosome” which consists of many “genes” ( properties of the connection like : sourceIP, targetIP, port no., protocol …), One has to find the fitness value of each such chromosomes to detect intrusion.
Seminar Report - Network Intrusion Prevention by Configuring ACLs on the Rout...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
REAL-TIME INTRUSION DETECTION SYSTEM FOR BIG DATAijp2p
The objective of the proposed system is to integrate the high volume of data along with the important
considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack
occurred, the Intrusion Detection System automatically store the log in distributed environment and
monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the
severity of the log to high, medium, and low respectively. After the categorization, the system will
automatically take necessary action against the user-unit with respect to the severity of the log. The
advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or
reports based on abnormal behaviour.
Network Intrusion Prevention by Configuring ACLs on the Routers, based on Sno...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
Order vs. Mad Science: Analyzing Black Hat Swarm IntelligencePriyanka Aash
White hat defense systems continue to improve on supervised learning sets using machine and deep learning neural networks to defend against an exploding attack surface. Zombies that require commands from botnet herders are becoming intelligent, capable of their own decisions as we saw with Hajime in 2017. Swarm intelligence can be used to enhance these networks. What can we do to defend?
Learning Objectives:
1: Learn about the current state of black hat automation/AI practices.
2: Understand the next stage of black hat swarm intelligence hive networks
3: Gain insight into practical defense approaches using white hat automation and AI.
(Source: RSA Conference USA 2018)
ids&ips technique is used to capture logs,sessions,port no,trojans,and malicious activity on the networkand servers.here u can get detailed about ids and ips techniques
Using Genetic algorithm for Network Intrusion DetectionSagar Uday Kumar
Using Genetic algorithm for Network Intrusion Detection : Genetic Algorithm IDS involves detecting the intrusion based on the log history, possible intrusions that are likely to occur. In Genetic Algorithm, each connection will be considered as a chromosome” which consists of many “genes” ( properties of the connection like : sourceIP, targetIP, port no., protocol …), One has to find the fitness value of each such chromosomes to detect intrusion.
Seminar Report - Network Intrusion Prevention by Configuring ACLs on the Rout...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
PROJECT DESCRIPTION
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The main objective of this project is to develop a device for wireless power transfer. The concept of wireless power transfer was realized by Nikolas tesla. Wireless power transfer can make a remarkable change in the field of the electrical engineering which eliminates the use conventional copper cables and current carrying wires.
Based on this concept, the project is developed to transfer power within a small range. This project can be used for charging batteries those are physically not possible to be connected electrically such as pace makers (An electronic device that works in place of a defective heart valve) implanted in the body that runs on a battery.
The patient is required to be operated every year to replace the battery. This project is designed to charge a rechargeable battery wirelessly for the purpose. Since charging of the battery is not possible to be demonstrated, we are providing a DC fan that runs through wireless power.
This project is built upon using an electronic circuit which converts AC 230V 50Hz to AC 12V, High frequency. The output is fed to a tuned coil forming as primary of an air core transformer. The secondary coil develops a voltage of HF 12volt.
Thus the transfer of power is done by the primary(transmitter) to the secondary that is separated with a considerable distance(say 3cm). Therefore the transfer could be seen as the primary transmits and the secondary receives the power to run load.
Moreover this technique can be used in number of applications, like to charge a mobile phone, iPod, laptop battery, propeller clock wirelessly. And also this kind of charging provides a far lower risk of electrical shock as it would be galvanically isolated.
Gave a talk at StartCon about the future of Growth. I touch on viral marketing / referral marketing, fake news and social media, and marketplaces. Finally, the slides go through future technology platforms and how things might evolve there.
Each technological age has been marked by a shift in how the industrial platform enables companies to rethink their business processes and create wealth. In the talk I argue that we are limiting our view of what this next industrial/digital age can offer because of how we read, measure and through that perceive the world (how we cherry pick data). Companies are locked in metrics and quantitative measures, data that can fit into a spreadsheet. And by that they see the digital transformation merely as an efficiency tool to the fossil fuel age. But we need to stretch further…
32 Ways a Digital Marketing Consultant Can Help Grow Your BusinessBarry Feldman
How can a digital marketing consultant help your business? In this resource we'll count the ways. 24 additional marketing resources are bundled for free.
Optimized Intrusion Detection System using Deep Learning Algorithmijtsrd
A method and a system for the detection of an intrusion in a computer network compare the network traffic of the computer network at multiple different points in the network. In an uncompromised network the network traffic monitored at these two different points in the network should be identical. A network intrusion detection system is mostly place at strategic points in a network, so that it can monitor the traffic traveling to or from different devices on that network. The existing Software Defined Network SDN proposes the separation of forward and control planes by introducing a new independent plane called network controller. Machine learning is an artificial intelligence approach that focuses on acquiring knowledge from raw data and, based at least in part on the identified flow, selectively causing the packet, or a packet descriptor associated with the packet. The performance is evaluated using the network analysis metrics such as key generation delay, key sharing delay and the hash code generation time for both SDN and the proposed machine learning SDN. Prof P. Damodharan | K. Veena | Dr N. Suguna "Optimized Intrusion Detection System using Deep Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21447.pdf
Paper URL: https://www.ijtsrd.com/engineering/other/21447/optimized-intrusion-detection-system-using-deep-learning-algorithm/prof-p-damodharan
Intrusion Detection Systems (IDSs) have become widely recognized as powerful tools for identifying, deterring and deflecting malicious attacks over the network. Intrusion detection systems (IDSs) are designed and installed to aid in deterring or mitigating the damage that can be caused by hacking, or breaking into sensitive IT systems. . The attacks can come from outsider attackers on the Internet, authorized insiders who misuse the privileges that have been given them and unauthorized insiders who attempt to gain unauthorized privileges. IDSs cannot be used in isolation, but must be part of a larger framework of IT security measures. Essential to almost every intrusion detection system is the ability to search through packets and identify content that matches known attacks. Space and time efficient string matching algorithms are therefore important for identifying these packets at line rate. In this paper we examine string matching algorithm and their use for Intrusion Detection. Keywords: System Design, Network Algorithm
A secure intrusion detection system against ddos attack in wireless mobile ad...vishnuRajan20
At Softroniics we provide job oriented training for freshers in IT sector. We are providing IEEE project guidance and Final year project guidance. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI, Modelsim, Tanner, Xilinx etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. We are providing long term and short term internship also. We are also providing IEEE project support at Calicut, Thrissur and Palakkad. For more details contact 9037291113, 7907435072
This project mainly focuses on remotely scanning the organization’s internal network using precise, advanced and most efficient tools built installed on the Raspberry Pi. Keeping all the security aspects in scope, this tool is built and configured to meet and protect one’s required operations through the process. The whole scanning operation is done through the Secured Shell because it’s open source and uses open protocol, so it’s hard to plant a backdoor attack. The encryption will provide privacy and maintain integrity throughout the operation and will protect against network sniffers, eavesdropping and Man in the Middle Attack. This tool is made to completely eliminate the physical traveling of security team to the client’s location and to perform any contractual based security operations. Sharique Raza | Feon Jaison Maliyekkal | Nitin Choudhary "Remotely Scanning Organization’s Internal Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33636.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/33636/remotely-scanning-organization’s-internal-network/sharique-raza
NETWORK SECURITY USING LINUX INTRUSION DETECTION SYSTEMIJORCS
Attacks on the nation’s computer infrastructures are becoming an increasingly serious problem. Firewalls provide a certain amount of security, but can be fooled at times by attacks like IP spoofing and the so called authorized users. So an intelligent system that can detect attacks and intrusions is required. The tool GRANT (Global Real-time Analysis of Network Traffic) being a Linux based Intrusion Detection System(LIDs), takes the advantage of the security of a Linux box and secures the other nodes in the perimeter of the network. It is capable of detecting intrusions and probes as and when they occur and capable of responding to “already” successful attacks, thus causing minimal or no damage to the entire network. For better performance, this Linux Intrusion Detection System should be part of a defense in depth strategy such as Firewall and Intrusion Prevention.
A honeynet framework to promote enterprise network security
Icmis
1. Enhancing the efficiency of IDS system with Honey pot placement in
Network Architecture
Vijay K. Chaurasiya1, Ashish Srivastava2 Shuchi Chandra3Shashank Srivastava4, Sandeep Saxena5, Manish Rai6,
IIIT-Allahabad, India
The Intrusion Detection System specially involves two
types of techniques: Anomaly Detection involving the
Abstract -- Increasing technology space has pressurized the detection based on behavior/heuristic rules and Misuse
orgainsational enviroment to safegraurd its network from Detection involving the detection based on patterns and
outside as well as inside attack. Any malicious intrusion can signatures. Anomaly detection lags behind as it requires
dragdown a highly reputed organisation to the floors of
too much time to detect the behavior and Misuse
defamation and even insolvency. Henceforth network
Detection lags behind for detection of new attack
security is one of the biggest challenge for organisation.
Although traditional concepts of firewall and intrusion signature. So Honeypot is used as a tool to support the
detction system is prevailing yet there is a need to secure the technique of Misuse Detection so that new attacks can be
enviroment from the so called zero day attacks. Attackers detected before they can harm internal network and the
every now and then generate exploits to penetrate the secure signature can be framed in the IDS to defend the network
network enviroment and the existing known signatures are from internal and external threat of such attack in future.
not able to detect such an attack. This paper brings forth the
concept of deployment of honeypot so as to make the IDS Honeypots are Bait Servers which are not the part of any
system more effective and efficient for the zero day attack production server in the organization and are just placed
leading to least penetration to the network enviroment. This isolated so as to attract the attackers to plug and play with
paper lays down a new network architecture so that the IDS
it and at its end it logs all the actions of the attacker so
system can be updated with the latest attack scenarios. The
that it can be analyzed further to generate signatures for
aforesaid objective is achived with the help of establishment
of honeypot. Later tcpdump is used for he further analysis of
IDS. Attackers before making an attack performs a ping
payload so as to generate alert signautre in IDS(Snort v2.0). sweep and if the honeypot is pinged. As the request
reaches the honeypot server it records all the activities,
even the keystrokes typed by the attackers so every
command entered by the attacker becomes a part of log to
I. INTRODUCTION the honeypot server. It also stores all tools used by the
intruders in records as a forensic machine.
The high use of internet in today’s IT world has purged in The given paper describes how the data returned from the
the concept of security deployment in the organization so honeypot server is used to write custom IDS rules. Thus
as to make it almost immune to various upcoming attack new network architecture is designed to collect the
scenarios. One of the critical areas is the protection of response to write custom IDS rules by seeing the data
internal network from new attacks. Although the most payload and writing the rules matching the payload.
desirable is the deployment of intrusion and prevention
system in the network architecture but this system is still II. RELATED WORK
vulnerable to zero day attacks. The IDS generally
includes signatures for known attacks and generates the
alerts for the same but if any new attack penetrates the One of the drawback stumble upon with network intrusion
system then it lacks behind. To deal with this problem the detection systems is that the logging of failed connection
concept of honeypot can be used along with any packet attempts just occurs when services are not listening on a
analyzing tool so as to generate signatures for zero-day scanned port. When a RST signal terminates a TCP
attacks in IDS. connection attempt, the system never logs the data packet
that the remote machine was trying to send into the
network. A honeypot as a one of the greatest security tool
2. suggests a mechanism by completing the connection
attempt and providing an attacker a false illusion of
accessing the critical servers and then recording the
interactions between the honeypot and the remote
machine.
Honeypot placement is one of the greatest issues to be
taken care of to optimize the efficiency of the
implemented Intrusion Detection System. Various
network architectures are presented till now to achieve the
aforesaid motive but the basic idea behind this as we
suppose is detection of hackers scripts and actions to
penetrate into the system and henceforth the proposed
architecture is presented which will help the
organizational security to build up patches for the existing
loophole and make their system robust and stringent to
attack scenarios.
III. PROPOSED DESIGN AND IMPLEMENTATION
Fig 1.1 Deployment of IDS & honeypot in the LAN Architecture
In this configuration, main network is a “TCP/IP based
In this section we outline the requirements of the network” which contains clients and servers. Snort 2.0 is
proposed infrastructure which is considered as a solution used as IDS and is capable to be configured with server.
to decrease the malicious inflow of packets in the Honeyd is a honeypot system that is configured as a
organizational environment and enhance the efficiency of separate server and is connected to the main server. We
IDS system deployed. assume a”switched network” in our approach, with a
configurable switch which is connected to the main server
The real honeypot server is used to safeguard the main and the respective clients. As the LAN architecture is
server from if the hacker is able to compromise the developed in within a primary network henceforth the
honeypot server. Although it is hard to implement the real server is supported with two Ethernet cards eth0 and eth1.
honeypot but it is desirable for large organizations as such Eth0 directs the internet connection to the main sever and
servers do not hamper the production process in the eth1 manages the intranet traffic within the private LAN
organization and only IT staff is able to access the 192.168.0.1.
required logs. Neither the attacker nor the organizational The attacker first performs a ping sweep attack to detect
staff knows where honeypot is placed. the available servers in the network and the honeypot
server entices him to perform attacks to penetrate the
The given network architecture is used to develop an network. Once the requests are directed to the honeypot
understanding as to why and how honeypots are used to server the incoming connection is established with the
enhance the work of IDS system. attacking system. As the attacker gets a feel of entering
into the server it performs all his efforts to penetrate into
different servers. Honeypot gives him the illusion of
different servers and constantly interacts with him to
record his activities and send the specific response to the
syslog server for future analysis and investigation.
3. IV. EXPERIMENTAL SETUP %01/..%01/..%01/..%01/..%01/..%01/..%0
1/..%01/..%01/..%01/.
To implement honeypot an additional tool Arpd is .%01/..%01/..%01/..%01/..%01/..%01/..%
embedded in it. Honeypot cannot do everything alone and 01/..%01/..%01/..%01/
..%01/..%01/..%01/..%01/..%01/..%01/..
requires the help of Arpd. Arpd is used for ARP spoofing; %01/..%01/..%01/..%01
this is what actually monitors the unused IP space and /..%01/..%01/..%01/..%01/..%01/..%01/.
directs the attacks to the honeypot. Honeyd is only able to .%01/..%01/..%01/..%0
interact with attackers. For example if the aim is to 1/..%01/..%01/..%01/..%01/..%01//etc/s
monitor all the unused IPs in the 192.168.1.0/24 network, hadow HTTP/1.1
the required commands to start both Arpd and Honeyd are Host: 202.174.22.145:10000
as follows:
It is visible that the attacking port is 10000 thus port
10000 is of interest. The various ip addresses from where
arpd 192.168.0.1/24
such request came can be filtered using tcpdump analysis.
honeyd -p nmap.prints -f honeyd.conf
192.168.0.1/24
Based on the commands, the Arpd process monitors the B. Results and Discussion
unused IPs, directs all corresponding attacks to the
honeyd and spoofs the victim’s IP address with the MAC Once the analysis is done now it is the time to write the
address of the honeypot. For the honeyd command –p snort rule. By the analysis of the payload it is visible that
nmap.prints refers to the nmap fingerprint database and -f the string started with “GET/unauthenticated/”
honeyd.conf is the honeyd configuration file. thus following snort rule can be set:
Once the installation is honeypot server is completed the alert tcp $EXTERNAL_NET any ->
traffic directed to honeypot server is dumped o other $192.168.0.1 10000 (content:"GET /unauthenticated/";
system using packet analyzing tool tcpdump with the help msg:"Get unauthenticated";)
of following command:
tcpdump -nn -x -s 1500 host
192.168.0.145 -w store.cap
Now any attack coming from the specified port will
The tcpdump command will dump all the malicious generate the alert to the administrator of penetration for
packets directed to the honeypot and hence will help in unauthorized access in the network environment by the
writing the snort rule set by analyzing the payload. attacker.
If the set rule has to be further customized then the
A. Writing of Snort Rules: following payload can be added:
alert tcp any any -> any 10000
Penetrating in the network to gain access by getting the (content:"GET /unauthenticated/..%01/..%01/"; msg:"Get
etc/passwd file in the Linux environment or the password unauthenticated";)
shadow file i.e. etc/shadow which contains the username
The point of concern here is that adding too much of
and password of all users. No such rule is defined in the payload may result in false negatives which will overall
latest snort rule set. Suppose you get the following log lower down the implementation of snort in organizational
generated in honeypot: network.
# cat 44F75D6380122.shell
:::::::::::::: V. CONCLUSION
GET/unauthenticated/..%01/..%01/..%01/
..%01/..%01/..%01/..%
The Intrusion detection system can only give the optimum
01/..%01/..%01/..%01/..%01/..%01/..%01
/..%01/..%01/..%01/.. benefit if it is also able to detect those attacks for which
4. signatures are not defined in its database. The area of
work will be to give attention to this Snort limitation and
thus increasing the scalability and responsiveness of the
system towards the various types of attacks so as to
achieve the motto of building a smart agile and secure
system to face the new challenges of technological arena.
Though honeypot deployment is a cost-effective solution
for the security of large organization but in future
refinement is required to elimination false alarm
generations.
REFERENCES
1. Vidar Ajaxon Grønland: Building IDS signatures
by means of a honeypot Norwegian Information
system Laboratory.
2. Chi-Hung Chi , Ming Li Dongxi Liu : A method
to obtain Signatures From Honeypots Data,
School of Computing National University of
Singapore
3. Babak Khosravifar, Jamal Bentahar: An
Experience Improving Intrusion Detection
Systems False Alarm Ratio by Using Honeypot.
Department of Electrical and Computer
Engineering, Concordia University
4. Greg M. Bednarski and Jake Branson:
Understanding Network Threats through
Honeypot Deployment, Carnegie Mellon
University March 2004.
5. Richard Hammer : Enhancing IDS using, Tiny
Honeypot SANS Institute InfoSec Reading
Room
6. Solution Base: What you need to know about
honeypots
http://articles.techrepublic.com.com/5100-
22_11-5758218.html