{"id":123,"date":"2025-09-11T14:35:12","date_gmt":"2025-09-11T14:35:12","guid":{"rendered":"https:\/\/wp.odu.edu\/odupresentationtemplate\/?page_id=2"},"modified":"2025-09-13T19:02:03","modified_gmt":"2025-09-13T19:02:03","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/sites.wp.odu.edu\/cs201s-espruill\/","title":{"rendered":"Home"},"content":{"rendered":"
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As time goes on our society as a whole begins to become even more revolved around technology. In turn our data stored on our personal devices and in databases for various companies and services becomes much more susceptible to attack. Thanks to cybersecurity and the social sciences we can help prevent these attacks by using various techniques to ethically and accurately predict them before they ever happen based on past trends. On top of this by introducing new advanced tech such as AI and machine learning we can heighten our data analysis allowing us to increase these defenses even more. As seen in the graphs below as we go further into the future the threats begin to rise, but the data at risk is beginning to see a decline due to our cybersecurity efforts. These threats will continue to rise with the higher technology increasing in everyone’s homes as well as the amount of desirable data online rising waiting to be attacked, so our cybersecurity innovations desperately need to stay ahead of this curve as our society continues to be more intertwined with this online world.<\/p>\n\n\n\n

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Citations for images: (APA)<\/p>\n\n\n\n