WhatsApp Number: +1(249) 265-0080
Machine Learning in Cybersecurity
Topic: Enhancing Cyber Security In Healthcare -With The Help Of Machine Learning
Write a research paper than contains following:
1. A brief discussion of the dissertation topic “Enhancing Cyber Security In Healthcare -With The Help Of Machine Learning” and why.
2. The research question(s) you will use to employ to explore the topic.
3. A brief discussion of how you plan to design your study to answer the research questions from #2 (above)
Textbook:
1. Title: Publication Manual of the American Psychological Association: ISBN: 9781433832178
Authors: American Psychological Association, Publisher: American Psychological Association (APA), Publication Date: 2019-10-01
2. Title: Research Design, Subtitle: 5th edition, ISBN: ISBN-10 : 1506386709 ISBN-13 : 978-1506386706, Authors: John W. Creswell, Publisher: SAGE, Publication Date: 2018
Requirements:
– Provide a 500 word (or 2 pages double spaced) minimum reflection.
– Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
– A minimum of two scholarly journal articles.
– Writing should use exceptional language that skillfully communicates meaning to the readers with clarity and fluency and is virtually error-free.
Note: plagiarism check required, APA7 format, include References, within 8hrs
Check our essay writing services here
Machine Learning in Cybersecurity
1. Brief Discussion of the Dissertation Topic
The healthcare industry is increasingly dependent on digital technologies, making the protection of sensitive patient data and medical records a top priority. As the number of cyber threats targeting healthcare organizations continues to rise, it becomes essential to enhance cybersecurity frameworks to ensure that sensitive data remains secure and patient privacy is protected. One promising approach to achieving this goal is the integration of machine learning (ML) algorithms into cybersecurity strategies.
Machine learning, a subset of artificial intelligence (AI), has shown significant potential in improving the detection of cyber threats and vulnerabilities by analyzing large datasets, identifying patterns, and providing real-time responses to security incidents. Healthcare data systems, such as electronic health records (EHR), often face unique challenges due to the sensitivity of the information involved and the complexity of the networked systems. Machine learning techniques can potentially detect anomalous behavior and predict future attacks, enabling a proactive approach to cybersecurity rather than relying solely on reactive methods.
The dissertation topic, “Enhancing Cyber Security In Healthcare – With The Help Of Machine Learning,” is timely and essential due to the increasing frequency of