Firewalls and Filtering Research Paper

Cyber security tendencies have evolved into systems that are used for data security, mostly for big corporations which can afford the service. System vulnerability is one of the major concerns of organizations getting web servers, firewalls and security measures for their data. Technology companies burn the midnight oil trying to provide the highest level of security to databases, and a breach of security can be deemed a lapse by the technology company or that their security measures being ineffective. Hackers might send unauthorized packets of data including network inhibitors that might stall the ABC servers which contain online payment processing and customer data.

The best firewall recommended for this system is the next-generation system equipped with sophisticated security protocols for the deployment in the ABC system. It combines traditional firewall with other network devices that filter unauthorized network protocols. In a distributed system where traffic is passed through different nodes, denial-of-service attacks can come from multiple sources and this needs firewalls to detect and neutralize these attacks to protect the integrity of the data.

In ABC, the model of web application distribution used is a balancing load technique. This technique is used to distribute maximum workload over various nodes in the company’s network. It is further used to balance HTTP traffic across multiple servers thus making it an effective front-end service. Using this model, web traffic can be distributed intelligently across many servers using defined protocols (Martin C. Libicki, 2015). Processing load can thus be shared by many nodes and increases the reliability of the web application. In this case, ABC is able to process online payments, update customer data, and advertise their products online. The model redundancy is always considered during design for the organizations’ web applications since it enhances performance and prevents system lags during high activity.

In a distributed system, the historical intelligence or perceptive algorithm technique is deemed appropriate when loading and balancing web traffic to a web application. The method determines a particular node in which to send traffic using both response time of nodes and the amount of available connections between the server and load balance (Mays, 2018). A Zeus load balances can add traffic gradually to newly added servers without protocols and sometimes this is a vulnerability since the problems in the server might be as a result of a glitch or an attack in the system making it dangerous and vulnerable to breach.

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…the honeypot is scrutinized to assess its threat and redirected to the sandbox (Anderson, 1997). This measure is important since in the sandbox, it is safer to analyze the intricacies of the packets of data and also their integrity without any compromise to the system. The need to get a secure network, in the case of ABC, their customers can be denied access to their online platform, stalled payment processing and being unable to update customer data from their servers due to connection interruption, this can go a long way to a hardware based intrusion detection system to make the network secure.

A secure system needs a honeypot, a next generation firewall and intranet system to ensure that the data is secured. In ABC, the middle layered system whereby customer data, secure payment gateways and intricate customer data needs to be protected needs the attention of network engineers and appropriate methods to determine a particular node in which to send traffic using both response time of nodes and the amount of available connections between the server and load balance. A hardware based intrusion detection system makes the network secure and using intranet and hidden security protocols makes it important for the security and…