A New Comprehensive Hybrid Model For Improving Intrusion Detection And Prevention System

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 Intrusion Detection System (IDS) is a protection scheme which collect and analyze audit data for the entire network.

2.4.7 Rapid intrusion detection and response procedures: KIU should have mechanisms in place to reduce the risk of undetected system intrusions. Computing systems are never perfectly secure. When a security failure occurs and an attacker is "in" the institution's system, only rapid detection and reaction can minimize any damage that might occur. Techniques used to identify intrusions include intrusion detection systems (IDS) for the network and individual servers (i.e., host computer), automated log correlation and analysis, and the identification and analysis of operational

Interruption identification frameworks (IDS) take either system or host based methodology for perceiving and redirecting assaults. In either case, these items search for assault marks (particular examples) that for the most part demonstrate malignant or suspicious goal. At the point when an IDS searches for these examples in system activity then it is system based (figure 1). At the point when an IDS searches for assault marks in log records, then it is host based.

IDPS technology uses a lot of different methods to detect attacks. Signature-based, anomaly-based, and stateful protocol analysis. Most IDPS technology use multiple methods either separately or together to broaden and have better accuracy detection. The simplest detection method is signature-based because it corresponds to a known attack or type of attack. Signature based detection is the process of comparing observed events with known signatures of attacks to help identify possible attacks. Detection technologies only implementing signature-based attacks will be ineffective at detecting day-zero attacks.

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:

Intrusion Detection Systems – IDS should be installed that contain the capabilities to monitor the network and send alerts if odd or different behavior is observed.

This section of paper includes why we need cloud computing as a security control tool against the cyber criminal activities and in how many ways it can be implemented. As we are living in a technical era, many aspects of our lives rely on the Internet and computers, including transportation, communications, government, medicine, finance and education. Consider how much of our personal information is stored either on our own computer or on someone else’s system.

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

Attacks can be classified as “known attacks” or “anomaly based”. Some attacks have signature similar to previous attacks others are novel and may have no common signature. To deal with such variation different techniques are incorporated. Thus, we can say IDS (intrusion detection system) can be classified into 2 main categories. One that uses the signature of previous attacks to estimate or detect intrusion other that checks for anomalies. Both have their limitations and advantages. Biggest limitation of anomaly system is false reports. Thus a third type of system also exists, Hybrid, which uses both the previous two to detect Intrusions.

Cloud computing has become so famous; there is much widespread news about the cloud these days. This is mainly because of the exponential shift of the business applications from traditional models of software towards the Internet, and now through mobile devices. Cloud computing is a model that uses the network of remote servers that has been hosted on the internet rather than on a specific hardware. This would enable a better shared pool for storing, accessing and processing of data. With the huge information being available in the internet, the security for cloud computing has been challenging and this paper would elucidates the security threats of cloud computing also stating the possible countermeasures for them.

Knowledge based detection Technique can be used for both signature based IDS as well as anomaly based IDS. It accumulates the knowledge about specific attacks and system vulnerabilities. It uses this knowledge to exploit the attacks and vulnerabilities to generate the alarm. Any other event that is not recognized as an attack is accepted. Therefore the accuracy of knowledge based intrusion detection systems is considered good. However their completeness requires that their knowledge of attacks be updated regularly [29].