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Why is cyber crime such a lucrative criminal venture? Submit and defend one technological advance or policy course of action that would address a specific cyber crime. Define terms and provide examples.

 

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Many will disagree with this, but cybercrime is a way more lucrative business than many others, and the criminals earn way more than many business people. Money works as motivation, which is why they work with much more passion than most other professionals. As per Cybersecurity Venture Report , cyber crime is going to cost the world USD 10.5 Trillion by 2025. The main point is that they don’t need to buy such an expensive high-tech tool to hack; neither they require to learn any particular hacking skill that costs much. Malware may be costly, but hackers can quickly get them from other hacker forum at a very pocket-friendly price and even if some expenses are involved, they can quickly pay with a tiny percentage of the amount they get from the victims.

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

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