Executive Summary
Internet has grown leap and bounds over the last few years. This has resulted in a number of computer security breaches on the Internet. Most of the computers that use Internet are vulnerable to attack. Due to this reason, Intrusion Detection systems have grown rapidly and there is an ongoing research since it’s a developing field. ID (Intrusion Detection) is a type of a security management system that gathers and analyzes information to identify security breaches, which include both, attacks from outside the organization and attacks from inside as well (misuse). ID includes analysis of abnormal activity, tracking user policy violations, assessing systems and file integrity and vulnerability. It helps us differentiate the normal behavior of system and helps us obtain any abnormal activity that is taking place. This can be done easily using data mining and it helps increase its sustainability to attacks.
This project helps us understand the Intrusion Detection System (IDS) and our aim is to implement it using a common tool named (Waitkato Environment for Knowledge Analysis) WEKA that is written in Java. This tool is very powerful and it will help us implement IDS by using techniques of data analysis and predictive modeling. It supports various algorithms and tasks such as data preprocessing, classification, regression, clustering, and many more. It is a very simple tool to understand and is an open source.
Specification
We considered various tools
tools will help to detect intrusions and other suspicious activities on the network. The third challenge is to improve the
Segregation of affected system as soon as possible and investigation begins to establish the amount of damage.
For the purpose of this assignment snort will be used as intrusion detections systems which is an open source IDS, snort has the ability to monitor traffics in real time and packet locking its also inspecting each packets as they enters into the network, Snort can be used as packet sniffer to analyse the network traffic in order to detect any bizarre looking packets or payloads which might have malicious data in it. Snort can also detect payloads attacks against the network or host system including but not limited to stealth port scan, and buffer overflows.
KDDCup99 dataset was introduced at the Third International Knowledge Discovery and Data Mining Tools Competition which was held by DARPA in 1999 .KDDCup99 is a refined data set from DARPA 1998 dataset as it contains only network data[3]. KDDCup99 is commonly used developers and implementers of new IDS to evaluate their systems. IDS systems take the KDDCup99 dataset as an input to train ,test the system and check performance of the IDS in classifying and detecting attack records. KDDCup99 dataset is used by most researchers because it contains 22 different attack types which could be classified into four main attack categories of the network discussed in the previous section. The full DARPA dataset consists of relatively 4,900,000 lines of connection vectors where each single connection vectors consists of 41 features and is marked as either normal or an attack, with exactly one particular attack type [38]. Among the 41 features of the connection, only sixteen significant attributes are considered which are: A1,A5,A6,A8, A9, A10, A11, A13, A16, A17, A18, A19, A23, A24, A32, A33[38] The KDD 99
Network Intrusion Detection: Software exists to watch traffic on your network to search for malicious intent. Is an Intrusion Detection System going to be implemented? An IDS is not a fire and forget type system. It requires constant monitoring. Smaller organizations will be overwhelmed by the amount of information it produces.
CSEC 630 Lab2 -Intrusion Detection System and Protocol Analysis Lab (n.d.). University of Maryland University College. Retrieved from: https://learn.umuc.edu/d2l/common/viewFile.d2lfile/Database/NzkyMzkw/CSEC630_lab2_LEO.pdf?ou=33745
The goal of intrusion detection is to monitor network assets, detect anomalous behavior, and identify misuse within a network (Ashoor, Gore, 2011). An intrusion detection system (IDS) is a device or software application that monitors network system activities for malicious activity or policy violations and produces reports to a management station (Kashyap, Agrawal, Pandey, Keshri, 2013), additionally there are three types of IDS:
Cyber security breaches have shown a spike in 2015, with large-scale compromises on companies like Target, Sony and Home Depot. There is a strong demand to deploy more robust cyber security tools to prevent future attacks. FireEye, a cyber-security firm, has started to fill the void and is reaping the rewards.
Information technology (IT) is evolving everyday and our day-to-day life is becoming more and more dependent on it. In this twenty first century, we cannot imagine ourselves without emails, online banking systems and health care systems and without World Wide Web. In other words, evolution of IT has given a modern, technologically advanced and convenient life to the society. But, over the time we are also observing explosive growth in the darker side of the IT - regarding hacking and cyber crimes. Activities like unauthorized computer intrusion, denial of service (DOS), stealing computer passwords and secure data; causing damage to computer systems and databases and causing damage to
Q2: When one visits a few websites, many alerts pop up. An Intrusion Detection System conducts monitoring of any suspicious patters as well as outbound and inbound activities through packet
Firewalls is categorized as a preventive control which is used as a defense shield around IT systems to keep intruders and hacking from occurring, whereas, an Intrusion Detection System (IDS) which is categorized as a detective control is used to detect intrusions that have already occurred (Cavusoglu, Mishra, & Raghunathan, 2005). However, IDSs are not
The main problem with current intrusion detection systems is the high rate of false alarms triggered off by attackers. Effective way of protecting the network against malicious attacks is the problem in both area of research and the computer network managing professionals. Improved monitoring of malicious attacks will require integration of multiple monitoring systems. In our current project we are analyzing potential benefits of distributed multi sensor
The examination of Network security situational Awareness (NSSA) is imperative since it can progress the system checking capacities, Emergency reaction limit and anticipate the advancement pattern of system security. In light of the substantial measure of Intrusion Detection System (IDS), We propose another strategy for information preprocessing for NSSA in light of Conditional Random fields (CRFs). It takes points of interest of the CRFs models which can line to arrangement information stamping and add irregular ascribes to manage the measure of information from IDS, and give the information to NSSA. It utilizes KDD Cup 1999 information sets as exploratory information and arrives at a conclusion that our proposed strategy is practicable, solid and productive. , This paper explains the situational familiarity with the three fundamental explore content: This paper expounds on the situational awareness of the three main research content: extraction the factors of NSSA, situation understanding and situation
Almost all kind of large and small organizations might face increasing number of attacks into their network or intellectual property. This may lead to data disclosure, data destruction, and damage of organization’s reputation. There are numerous threats in the cyber space which might be capable of stealing, destroying or making use of out sensitive data for financial and non-financial gains. As the amount of computer, mobile and internet users increases, so does the number of exploiters.
Now a day’s internet based services faced a problem of cyber threats and attack. The cyber-attack performs illegal activity over computer and network. The cyber-attack damage of computer software and meaningful information over the internet communication. For the detection and prevention of cyber-attack various approach are used such as system level approach and