Introduction
Like any other part of the internet, AI can interact with the dark web differently. The dark web is an intentionally hidden part of the internet and can only be accessed with specific software such as Tor. Although the dark web is often linked with illegal activities, it also has some legitimate purposes, such as privacy, anonymity, and free expression. AI interacts with the dark web in monitoring and surveillance. AI systems can monitor the dark web for illegal activities, including drug sales, hacking tools, stolen data, and illicit goods and services. It can help law enforcement agencies and cyber security firms combat cybercrime since AI automated systems can analyze large amounts of data and identify patterns, hence detecting any possible threat. AI can interact with the dark web in dark web markets. Cybersecurity firms can use AI to understand trends, track the flows of cryptocurrencies, and identify cyber threats. The interaction of AI and the dark web comes with benefits, such as helping individuals understand what the dark web is and how we can use AI to exploit its advantages and regulate its use to avoid its adverse impacts.
Background
The dark web is a small part of the deep web, which contains harmless sites such as email account protection with passwords, some part subscriptions that you must pay for, such as Netflix, and other sites you can only access through online forms. The identities of those who visit these websites are hidden by anonymizing software on their computers, and the dark web will require passwords for access. The main purpose of the dark web is to encrypt any data sent through it by hiding both where the data originated and its destination. Since the launch of AI, forums on the dark web have been trying to find how they can exhaust all the ways they can make use of this technology. Dark web users have been trying to enlighten each other on how to use AI to make their deals look ethical and ensure their safety. The dark web has produced new AI-powered tools and applications designed to cater to cybercriminals’ illegal needs.
Literature Review
Research by Aloqaily et al (2022) suggests that, though the interaction of AI and the dark web has developed great cybersecurity threats, AI has the potential to evolve cyber threat detection. Various intelligent learning techniques are now integrated into cybersecurity systems (Aloqaily et al. 2022). It will provide secure and strong ways to preserve private data and delicate systems from cyber-attacks. Some individual and societal data kept by institutions such as hospitals and schools can be at risk of cyberattacks. Cybersecurity firms can use AI to secure individuals, organizations, and society at large data from cyberattacks.
However, research by Musumeci et al. (2022) differs from the other authors on the importance of AI in cybersecurity. Their research shows that even with the incorporation of AI in the system of plane known as the Software Defined Networking (SDN), the system is still vulnerable to cyber-attacks (Musumeci et al. 2022). A malicious cyber-attack known as Distributed Denial of Service can still affect the operations of SDN either directly or indirectly. It can impair the ability of this controller to function or interfere with its switches’ ability to function properly. To improve the situation, these authors believe the developers should improve their incorporation by using AI tools such as Machine learning algorithms. The ML algorithms can slow down plane data forwarding and provide faster availability of network features. It helps the program detect the attack quicker, hence minimizing the damage it can cause.
According to Smuha & Nathalie (2021), the interaction of AI and the dark web comes with benefits and some notable ethical and legal risks. It can manipulate people to hinder their self-determination, which can result in harming their safety and security (Smuha & Nathalie 2021). These authors suggest that governments should not only accept the brighter side of this program but also look at the dark side of it. It is the government’s responsibility to protect its people; therefore, they are urged to safeguard their people against the risks that come with AI. The potential way to control the negativities that come with the interaction of AI with the dark web is to have regulations on its application.
Results, findings and conclusion
AI-driven tools can be used to monitor and survey the dark web for illegal activities, which may include the sale of stolen data, weapons, hacking services, illegal substances, and malware. Research by Aloqaily et al. (2022) shows that interaction between AI and the dark web not only creates problems for cybersecurity firms but also brings solutions to the existing challenges that come with the existence of the dark web. AI can be used to secure individual and organization data at risk of being stolen and misused by dark web users without a trace.
Musumeci et al. (2022) suggest in their research that AI has severely failed to defend against cyber-attacks. When incorporated with plane data security programs, AI may not fully protect the plane’s program from being attacked. However, the improvements in AI and the introduction of ML algorithms can help the plane data security program detect in advance and slow down the attack, hence minimizing the damage it can cause. Smuha and Nathalie (2021) also suggest that the interaction of AI and the dark web comes with benefits and some notable ethical and legal risks. The program can cause a potential breach of fundamental rights like privacy and non-discrimination. Governments should be careful when accepting the incorporation of AI not to face its future impaired consequences on its citizens. They should have regulations at all levels to regulate the utilization of AI as they enjoy its benefits.
In conclusion, the interaction between AI and the dark web positively and negatively impacts everyone involved. It helps cybersecurity firms control challenges created by the dark web, such as cyber-attacks, by helping intelligence officers monitor and trace the movement of information in the dark web. However, without regulations, the interaction between AI and the dark web can adversely affect individuals by interfering with their privacy rights. Therefore, governments have a duty to put a regime that will regulate the application of AI in the dark web to ensure that its future adverse impacts are avoided or minimized.
Works Cited
Basheer, Randa, and Bassel Alkhatib. “Threats from the dark: A review over dark web investigation research for cyber threat intelligence.” Journal of Computer Networks and Communications 2021 (2021): 1-21.https://doi.org/10.1155/2021/1302999
Aloqaily, Moayad, et al. “Special issue on cybersecurity management in the era of AI.” Journal of Network and Systems Management 30.3 (2022): 39. https://link.springer.com/article/10.1007/s10922-022-09659-3
Musumeci, Francesco, et al. “Machine-learning-enabled DDoS attacks detection in p4 programmable networks.” Journal of Network and Systems Management 30 (2022): 1-27. https://link.springer.com/article/10.1007/s10922-021-09633-5
Smuha, Nathalie A. “From a ‘race to AI’to a ‘race to AI regulation’: regulatory competition for artificial intelligence.” Law, Innovation and Technology 13.1 (2021): 57-84. https://doi.org/10.1080/17579961.2021.1898300
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