Electronic Detection Systems Is High Rate Of False Alarms

Despite the presence of network security devices such as firewalls and other security appliances, today's corporate networks are still vulnerable to both internal and external attacks by hackers intent on creating havoc. By proactively

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

The network team is doing its part to recommend updates to the network intrusion detection system. Also the team has setup alerts which will send email to the team when there is a change in the baseline network bandwidth which can be a precursor to an attack. Additional monitoring has been enabled to alert the team when there is administrative access to the firewall. Also the team will work to build resiliency in the network to automatically switch the network to additional circuits when under this type of

Multiple sources cite false alarms in anywhere from 72-99% of all alarms (Ensslin, 2014; Meeks, 2014; Sendelbach & Funk, 2013). Clinical alarms are in place to enhance patient safety by alerting health care workers to deviations in predetermined normal status (Sendelbach and Funk, 2013), but with up to 1000 electronic alerts and alarms each shift, it is difficult to know which alarms to respond to (Duggan, 2016). In labor and delivery, two lives are depending on the nurse to know which alarms are important to respond to. In addition to the safety of the patient, persistent alarms affect the labor experience of the patient and family, contributing to increased stress and anxiety and decreasing the holistic experience (Meeks, 2014). Many times

False alarms and other common alarm issues can compromise your home security and generate increased expenses. Everyone knows about the boy who cried wolf, and it's just human nature that your local police department might triage your alarm signal if they've sent patrol cars to investigate several previous alarms that turn out to be unwarranted. Many police departments throughout Virginia, North Carolina and the United States charge fees after responding to a certain number of false alarms.[1] Depending on your city's size and departmental staffing, even short delays could have catastrophic consequences. Reducing the instances of unwanted police alerts just makes good sense regardless of your type of security system or alarm company.

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:

Network security has changed significantly over the past years. There is more and more data to monitor and analyze in order to detect the activity of your data and systems. Securing a network has many variables. Password authentication, network access, patches, anti-virus protection, intrusion detection, firewall and network monitoring tools are just a few of the things you can do to protect yourself.

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

Submitted in partial fulfillment of the requirements for the degree of Bachelor of Engineering in Computer Engineering