Explain how an anomaly detection system makes use of profiles to identify normal traffic and organize users into known behavioral patterns.
Sample solution
Dante Alighieri played a critical role in the literature world through his poem Divine Comedy that was written in the 14th century. The poem contains Inferno, Purgatorio, and Paradiso. The Inferno is a description of the nine circles of torment that are found on the earth. It depicts the realms of the people that have gone against the spiritual values and who, instead, have chosen bestial appetite, violence, or fraud and malice. The nine circles of hell are limbo, lust, gluttony, greed and wrath. Others are heresy, violence, fraud, and treachery. The purpose of this paper is to examine the Dante’s Inferno in the perspective of its portrayal of God’s image and the justification of hell.
In this epic poem, God is portrayed as a super being guilty of multiple weaknesses including being egotistic, unjust, and hypocritical. Dante, in this poem, depicts God as being more human than divine by challenging God’s omnipotence. Additionally, the manner in which Dante describes Hell is in full contradiction to the morals of God as written in the Bible. When god arranges Hell to flatter Himself, He commits egotism, a sin that is common among human beings (Cheney, 2016). The weakness is depicted in Limbo and on the Gate of Hell where, for instance, God sends those who do not worship Him to Hell. This implies that failure to worship Him is a sin.
God is also depicted as lacking justice in His actions thus removing the godly image. The injustice is portrayed by the manner in which the sodomites and opportunists are treated. The opportunists are subjected to banner chasing in their lives after death followed by being stung by insects and maggots. They are known to having done neither good nor bad during their lifetimes and, therefore, justice could have demanded that they be granted a neutral punishment having lived a neutral life. The sodomites are also punished unfairly by God when Brunetto Lattini is condemned to hell despite being a good leader (Babor, T. F., McGovern, T., & Robaina, K. (2017). While he commited sodomy, God chooses to ignore all the other good deeds that Brunetto did.
Finally, God is also portrayed as being hypocritical in His actions, a sin that further diminishes His godliness and makes Him more human. A case in point is when God condemns the sin of egotism and goes ahead to commit it repeatedly. Proverbs 29:23 states that “arrogance will bring your downfall, but if you are humble, you will be respected.” When Slattery condemns Dante’s human state as being weak, doubtful, and limited, he is proving God’s hypocrisy because He is also human (Verdicchio, 2015). The actions of God in Hell as portrayed by Dante are inconsistent with the Biblical literature. Both Dante and God are prone to making mistakes, something common among human beings thus making God more human.
To wrap it up, Dante portrays God is more human since He commits the same sins that humans commit: egotism, hypocrisy, and injustice. Hell is justified as being a destination for victims of the mistakes committed by God. The Hell is presented as being a totally different place as compared to what is written about it in the Bible. As a result, reading through the text gives an image of God who is prone to the very mistakes common to humans thus ripping Him off His lofty status of divine and, instead, making Him a mere human. Whether or not Dante did it intentionally is subject to debate but one thing is clear in the poem: the misconstrued notion of God is revealed to future generations.
References
Babor, T. F., McGovern, T., & Robaina, K. (2017). Dante’s inferno: Seven deadly sins in scientific publishing and how to avoid them. Addiction Science: A Guide for the Perplexed, 267.
Cheney, L. D. G. (2016). Illustrations for Dante’s Inferno: A Comparative Study of Sandro Botticelli, Giovanni Stradano, and Federico Zuccaro. Cultural and Religious Studies, 4(8), 487.
Verdicchio, M. (2015). Irony and Desire in Dante’s” Inferno” 27. Italica, 285-297.
Sample Answer
Sample Answer
Anomaly Detection System: Utilizing Profiles to Identify Normal Traffic and Organize Users into Behavioral Patterns
Introduction
In today’s digital landscape, organizations face a constant threat of cyber-attacks that can compromise their systems, leading to financial losses, reputation damage, and privacy breaches. To combat these threats, anomaly detection systems have emerged as a crucial component of cybersecurity. These systems employ advanced algorithms and machine learning techniques to identify abnormal activities in network traffic. One key aspect of anomaly detection is the use of profiles, which helps in determining normal traffic patterns and categorizing users into known behavioral patterns. This essay will explore how an anomaly detection system utilizes profiles to identify normal traffic and organize users into behavioral patterns.
Understanding Anomaly Detection Systems
Anomaly detection systems play a vital role in identifying deviations from normal behavior within network traffic. These systems rely on the principle that normal patterns of behavior can be established by analyzing historical data. By understanding what is considered normal, the system can effectively detect and flag any suspicious or anomalous activities.
The Role of Profiles
Profiles are a fundamental component of anomaly detection systems as they serve as a reference point for normal behavior. These profiles consist of aggregated information about various aspects of users’ activities, such as login times, data transfer rates, protocols used, and applications accessed. By analyzing this information, the system can establish baseline behaviors for individual users or groups and compare them to real-time activities.
Identifying Normal Traffic
Profiles enable anomaly detection systems to identify normal network traffic patterns. By analyzing historical data, the system can establish typical behaviors for different types of network traffic, such as web browsing, file transfers, or email communications. These profiles capture statistical information about the frequency, volume, and timing of various network activities.
For example, if a user typically accesses the company’s internal database during regular business hours, an abnormal activity would be flagged if the same user tries to access the database at midnight. The system would compare the current behavior with the established profile and recognize it as anomalous.
Organizing Users into Behavioral Patterns
In addition to identifying normal traffic patterns, profiles also allow anomaly detection systems to organize users into known behavioral patterns. By categorizing users based on their typical activities and behavior, the system can differentiate between legitimate users and potential threats.
Profiles can be created using various techniques such as clustering algorithms or statistical modeling. These methods group users with similar behavior and create behavioral patterns specific to each group. By doing so, the system can identify when a user deviates from their established pattern, indicating potential malicious intent.
For example, if a user typically accesses a limited set of applications and suddenly starts accessing sensitive files or attempting unauthorized system modifications, the system would flag this abnormal behavior as a potential security threat.
Conclusion
Anomaly detection systems are crucial in identifying abnormal activities within network traffic to protect organizations from cyber threats. The utilization of profiles is a key element in these systems as they establish baseline behaviors and enable the identification of normal traffic patterns. By organizing users into known behavioral patterns, anomaly detection systems can effectively differentiate between legitimate activities and potential threats. As cyber-attacks continue to evolve, the use of profiles in anomaly detection systems will play an increasingly significant role in safeguarding organizations’ digital assets.
