SCTR7: Data Science and Analytics

OVERVIEW For those interested in the rapidly emerging field of cybersecurity data science (CSDS), below is a corpus of 33 book-length works. The list covers publications going back to 2001, although two-thirds of the works (22 out of 33) were published in the last five years (2016 to 2020). The works cover a broad range […]

A challenging aspect of cybersecurity data science (CSDS) concerns a lack of labeled datasets which record incidents and attacks. Such data is necessary for understanding attack vectors and for training and validating predictive models. A number of cybersecurity research datasets are now available and should be of interest to researchers and practitioners: • CSE-CIC-IDS2018 on […]

Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly formally recognized as a cybersecurity job specialty, for instance in the NIST NICE Cybersecurity Workforce Framework. A proposed CSDS definition derived from multiple sources: CSDS is the practice of […]

Among my greatly respected global colleagues and friends on LinkedIn, there seem to be persistent, circular debates concerning the nature and viability of the data science profession. Opinions seem to run the gamut from ‘data science is the best thing since sliced bread and will take over the world’ to ‘data science is a weak, […]

See full article on Dataversity  By Scott Mongeau on March 8, 2019 Following cybersecurity Data Science best practices can help beleaguered and resource-strapped security teams transform Big Data into smart data for better anomaly detection and enterprise protection. Future Shock: Growing Vulnerabilities and Liabilities The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity […]

Future Shock: Growing Vulnerabilities and Liabilities Cybersecurity data science (CSDS) brings hope to organizations challenged by evolving cyber threats. A rapidly developing field, CSDS utilizes advanced analytics to address security gaps in an increasingly data-driven, interconnected world. The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity Report, over half of cyber-attacks resulted in […]

Answers to Questions on Data Science (Quora) Quora (https://www.quora.com/) is a great platform to get direct answers from global voices on a broad range of topics. Over the past five years I have posted a number of answers to questions concerning data science: How do data scientists build trust in their work with their business […]

October 20th, 2018 Dear Cybersecurity Data Scientist Colleague, For an academic research publication, I am interviewing cybersecurity data scientists concerning practitioner perceptions of trends, challenges, and best practices. I would be greatly appreciative should you be willing to contribute to the community via a 30 minute interview. LIST OF QUESTIONS TO BE COVERED (open response […]

SAS recently produced a helpful video to cut through the misunderstandings that have developed in the market concerning the distinctions between AI, machine learning, and deep learning (many marketers using the terms interchangeably) In summary: > AI is a term for a solution which often utilizes machine learning as a component method to emulate human […]

Overview: The Cyber Big Data Conundrum Organizations are challenged with the spiraling overhead associated with storing and processing ever inflating sets of cybersecurity data. Many admit they are struggling to evidence improved security event detection and decision making. A growing realization is that big data must be turned into smart data: relevant, high-quality data which […]