Introduction
My research project will be based on Argus Cybersecurity, a famous company, and a global leader due to its independent automatic cybersecurity tools. The company has a well-developed Audit Record Generation and Utilization System. The tool is an open-source network flow monitor that was founded by Carter Bullard in 1984. The Argus is used to monitor the network and maintain an audit trail on the traffic (Argus, 2020). The tool is current utilized by the largest companies such as Duke and Stanford University. It is good to keep entire records of multiple things that are happening on the network. Companies will be able to track down issues, which will be invaluable during a security incident.
Argus is popular and trusted because it does not take up too much space. It is only a tool that allows a person to log network transactions in multiple ways and even goes ahead in collecting performance metrics on each connection that a person can check. Argus also has various utilities that can make queries against the logs to extract data when required quickly. These tools enable one to generate data such as XML, ASCII, RMON- from the Argus log file. It is also an excellent tool in providing a Perl Interface to access personal log files and quickly help in writing custom scripts to utilize the information one collects. The tool is supported by many platforms such as Windows, AIX, IRIX, Solaris, OS X, Linux, OpenWrt, and BSD
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Significance of the Project
I am interested in understanding the Argus company and its tool because it has become the best system for many customers. The firm has allowed the consumers to remain current with dynamic technology because its fundamental usefulness lies in its capability to perform evaluation and audit tests on 100% of the data accessible instead of merely sampling the information. Its power to audit 100% of the data helps consumers identify potential fraud patterns and information irregularities.
The other significance of the project also is because of its vast area of functionalities. Argus deals in a massive quantity of data processing initiations. It includes data distribution, gathering, filtering, correction, databases, compression, mistake correction, binning, metadata improvement, aggregation, net-spatial location, anonymization, privacy, and many more. It is also categorized into several efforts such that individuals can contribute to the tool through suggestions, bug fixes, modification to present programs, and opinion on architectural strategies (Johnson, 2017). An individual can also contribute to the program in terms of coding styles, marketing, and library tools.
Many consumers also are interested in the tool because they can utilize it in many platforms to generate network activities for each network transaction. This audit information that the tool generates is important for safety, performance, and operation management. The data is also utilized for customer relations, network assets, service inventories, network forensics, and non-repudiation (Davidoff & Ham, 2016). The Argus Project is up to date technology that will not get out of the market. It is termed as the next-generation network flow technologies that are in processed packets on captures or wire. This aspect is what intrigues me to learn about the project more than any other area.
How Did the Idea Come About?
While searching the internet about anything any topic related to cybersecurity, I found Argus at the top of the list. The firm caught my eyes because it sounded familiar. I had read another article on how it has transformed cyberspace in terms of security and performance. I found several items about Argus, and that is when I realized that I wanted to focus more on the project so that I can comprehend its functions and capabilities.
Literature Review
While researching the topic idea, I found several sources to help me in my final research project. Bullard, Gerth, and FloCon (2014), in their website, illustrated important information about data exfiltration. They argue that it is a severe challenge and a primary problem in US cyber warfare. Also, its detection can be challenging because the novel transport approaches make it difficult. Also, its behavioral threshold based on the system can be quickly subverted, and the challenge also lies in internal data consolidation with mechanical extraction. The authors stated that associations do not worry about data loss for most cases, but the organization's image and liabilities are damaging. They can implicate them as co-conspirators, and many infrastructures are utilized as a means to facilitate the distribution of information. The solution to this problem is through the Argus system, which enables behavioral classification and supports all flow data operations such as metadata enhancement, binning, inverse, filtering, search, aggregations, and selection.
Another interesting source that will help during the project is SecTools. Org (2012). it highlights the critical and favorite tools open source and commercial tools on multiple platforms. The source listed Argus is the top-rated open-source network created to track and report and analyze all network transactions' status and performance as evaluated in data network traffic. The source is also essential for comparing Argus with network security tools such as Wireshark, Metaspoilt, Nessus, Aircrack, Snort, Cain and Abel Backstrap, and many more. For instance, Wireshark is an open-source network utilized in many platforms and used in analyzing network protocols. It enables a user to analyze information from a live network or capture files on disks. A use can interest the browsers and capture data. Wireshark has powerful elements such as reconstructing the TCP section's stream and supporting many protocols and media forms. Also, Metaspoilt competes favorably with Argus because it is an advanced open-source network designed to develop, test, and use exploit codes. It enables users to write personal exploits quickly. What makes Metaspoilt attractive to its users is that the framework is free and open source. It also has a non-limited edition. Additionally, the source argues that Nessus is the favorite and famous due to its remote and local security checks, constant updates, and many more. Its website has many reviews from its clients.
Another essential source is authored by Cherian (2020). The authors argue that Argus has partnered with CounterFlow AI, and with this current sponsorship, the Argus user will now have access to multiple commercial technologies. It states that Argus is a logical choice Argus because of its useful features. The powerful combination will offer companies the essential abilities to understand what is happening on the networks in this encrypting-everything period. The application of machine learning will allow the firm to analyze network traffic elements that will lead to rapid identification of malicious behaviors and other signs that will be important to the firm.
After gathering this information, my research project will be based on unique research questions that will help me develop a unique and quality paper. The main research question is why the Argus project is becoming popular among many consumers. The second question is whether the Argus project has superior features over its competitors.
References
Argus. (2020). openargus - Home. https://openargus.org/
Bullard, C., Gerth, J., & FloCon. (2014). QoSient - Network Situational Awareness. https://qosient.com/argus/presentations/Argus.FloCon.2014.PCR.Presentation .
Cherian, J. (2020, January 9). CounterFlow AI becomes first commercial sponsor of the Argus project . https://www.businesswire.com/news/home/20200109005094/en/CounterFlow-AI-Becomes-First-Commercial-Sponsor-of-the-Argus-Project
Davidoff, S., & Ham, J. (2016). Network forensics: Tracking hackers through cyberspace . Prentice Hall.
Johnson, M. (2017). Network monitoring: What you need to know for it operations management . Tebbo.
SecTools.Org. (2011). SecTools.Org Top Network Security Tools. https://sectools.org/
