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An Exposition on The Dark Web.

The deep web is a part of the internet which bypasses regular search engines such as bing and Google. The Deep web is mostly composed of private information such as library catalogs and court case files (Hurlburt, G. (2017). The dark web is where illegal; activities such as drug trafficking and terrorism occur. This part of the internet is hard to trace and needs special software to access, making it easy for criminal activities to occur.

To access the dark web, a user requires a special software known as The Onion Router (TOR) that can index a special URL that ends with dot onion. Unlike regular browsers, the software bounces the search request around several TOR relays before completion, making it hard for anyone to obtain information (DiPiero, 2017). To communicate directly with anyone on the dark web, users have special emails used to keep the sender and recipient completely unknown. TOR's security is not flawless; therefore, users double their protection using Virtual Private Networks.

Criminals take advantage of the anonymity provided to carry out illegal activities while maintaining buyer-seller anonymity (Dalins et al., 2018). Services like hacking and stealing information, drug trafficking, and sale of ammunition are standard in this part of the web. Terrorists also use this service to recruit soldiers. One famous market was the silk road, which was said to be worth 28.5 million dollars. The FBI put them down for drug trafficking, sale of weapons, and several major hacks.

This site has a bright side as characterized by its lack of geographical limitations. Journalists living in countries that face censorship can air their opinion through the dark web (Coffey, 2020). This aids them in shedding light on social evils that lack any other medium to reach the masses. Information concerning court processes can be hidden in the deep web, keeping them free and fair.

References

Coffey, M. L. (2020). Library application of Deep Web and Dark Web technologies. School of Information Student Research Journal, 10(1), 8.

Dalins, J., Wilson, C., & Carman, M. (2018). Criminal motivation on the dark web: A categorisation model for law enforcement. Digital Investigation, 24, 62-71.

DiPiero, C. (2017). Deciphering cryptocurrency: Shining a light on the deep dark web. U. Ill. L. Rev., 1267.

Hurlburt, G. (2017). Shining light on the dark web. Computer, (4), 100-105.