Fill a form in 3 easy steps - less than 5 mins.
Posted: February 19th, 2022
Cybersecurity
Name
Institution
Cybersecurity
Predictive analytics denotes an approach used to forecast a cyberattack’s probability, thus allowing an organization to reinforce its defenses against looming attempts even before they surface. Like a radar that illustrates the approaching enemy, these analytics helps a company know where cybercriminals are likely to attack next, pinpoint where weak points are situated, and establish how well the organization is prepared to counter an attack before it is too late.
Behavior analytics refers to the use of software tools to identify data transmission patterns in an unusual network. The theory behind behavior analytics is that the analytics tool would identify the irregularity and alert managers of IT, who would bring the cyberattack or odd behavior to a stop (Carrascosa, Kalutarage & Huang, 2017). Organizations utilize behavior analytics to identify intrusions that escape preventive technologies like antivirus software, firewalls, and intrusion-prevention systems. Those traditional tools match signatures or fingerprints in previous attacks, whereas tools of behavior analytics study and report abnormalities that are judged against a baseline of normal behavior.
Some organizations are discovering ways to obtain insights into the stock-keeping unit optimization by applying analytic tools to their data-rich records. Algorithms pertaining to analytics tools provide a powerful way for organizations to recognize and quantify intuitive and non-intuitive product associations in their stock data. In turn, these insights make it possible to make better decisions regarding the products they carry and their optimization of inventory (Strickland, 2015). Also, algorithms can be utilized to find and measure how possible it is that a particular item set will be found in a basket containing some other set of items. The outputs of these algorithms, in turn, assist in the stock-keeping unit optimization.
References
Carrascosa, I. P., Kalutarage, H. K., & Huang, Y. (2017). Data analytics and decision support for cybersecurity: Trends, methodologies and applications. Springer.
Strickland, J. (2015). Data science and analytics for ordinary people. Lulu.com.
You Want Quality and That’s What We Deliver
Our writing team is assembled through a rigorous selection process, where we handpick accomplished writers with specialized expertise in distinct subject areas and a proven track record in academic writing. Each writer brings a unique blend of knowledge and skills to the table, ensuring that our content is not only informative but also engaging and accessible to a general college student audience
Competitive pricing is a cornerstone of our service, where we balance affordability with exceptional quality. In offering the best writers at rates that rival other writing services, we ensure that students can access top-notch content without breaking the bank unnecessarily. Our fair and transparent pricing structure is designed to provide value for money, making us a go-to choice for students seeking high-quality writing services at an affordable price.
Academic integrity is paramount to our writing service, which is why we produce original research and writing content for every paper. Each piece of work is carefully written from scratch, ensuring that every sentence, paragraph, and page is authentic and free from plagiarism. Our rigorous quality control process involves thorough scanning of every final draft, guaranteeing that the content meets the highest standards of originality and academic integrity. With keen attention to citation and referencing, we ensure that every source is properly credited, giving you complete peace of mind. We also have the best plagiarism checkers like safeassign and turnitin thus providing similarity score for each paper.
When you decide to place an order with Dissertation Help, here is what happens: