Advantages And Disadvantages Of Knowledge Based Detection Techniques

Protocol capture tools and protocol analyzers are important tools for an information systems security professional. These utilities can be used to troubleshoot issues on the network. They can verify adherence to corporate policies, such as whether or not clear text privacy data is being sent on the network. They can be used to test security countermeasures and firewall deployments and are needed to perform audits, security assessments, network baseline definitions, and identification of rogue IP devices.

tools will help to detect intrusions and other suspicious activities on the network. The third challenge is to improve the

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.

Where coursework, other than a Master’s dissertation or Master’s project, is handed in late and there are no valid mitigating circumstances, the

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

The world of cyber security continues to introduce new threats each year against network infrastructures and computer devices. In the recent years, the impact from cyber-attacks has wreaked havoc on many company brands and organizational reputations. As this issue grows so does the technology to prevent and protect against these malicious attacks. It is absolutely crucial for organizations and businesses to shift focus from defense for different types of attacks to improving safeguards to mitigate the loss of sensitive data when an attack occurs. In addition to the traditional security technology used to detect an attack, companies will have to include

When the GCU gathers evidence for later use for the court, sources of evidence can be monitored to detect threatened incidents in a timely manner. The GCU employee’s needs to be aware of suspicious transaction related to any activity in the customer account. Securing intrusion detection systems (IDS) components are important because IDS are often targeted by attackers that want to prevent the IDS from detecting attacks or want to gain access to sensitive information on the IDS, such as host configurations and known vulnerabilities. In monitoring and auditing, the types of activities recognized as suspicious will be different from different business needs. For example, a forensic accountant may look for specific patterns of financial data to trigger suspicion of fraud or theft. A suspicious event might be multiple emails on a sensitive subject from a person that is not involved in the subject. Recommend resources that can be used

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

Identification of an incident can be achieved by recognizing the symptoms of it. These can include any number of situations or circumstances, including unusual computer or network behavior, notification from an intrusion detection device, a review of system log files indicating unusual entries, loss of system connectivity and device malfunctions. It is essential that these symptoms be communicated to all users, for if they do not recognize it they cannot report it. Once a viable threat is identified, communicating and alerting to all that are currently or may be involved about the threat is essential for isolation and further infection.

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

These proposals and systems suggestions can minimize the vulnerabilities associated with any compromises or intrusions within the network. Deploying an intrusion detection system is an essential security strategy for monitoring a network information system for abnormal or authorized activity. An intrusion detection system (IDS) is set of tools which monitor a network topology by providing a system administrator with the overall picture of how the system is being utilized. Executing an IDS will make a difference in creating a defense in depth architecture to be more compelling in recognizing any form of malicious activities. The capacity of the IDS is to monitor and survey the network traffic without affecting network activity. IDS tools gather information and analyzes it against a pre-characterized manage set, and against a set of known assault 'marks'. The IDS can scan port numbers and to determine if any breaches or attacks are occurring (Kuipers,

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:

As organizations reliance on technology continues to grow so has the amount of cyber attacks which occur compromising organizations information systems and networks. These cyber attacks can have drastic effect on organization financially including downtime or even regulatory fines. Due to this the need to be able to properly identify assets, their vulnerabilities and threats, and the risk they pose to the organization has become a must for ensuring the protection of organizations information systems and networks. This have gave way to the creation of threat modeling process to aid organizations beater identify and mitigate the risk to their organizations security.

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

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.