SCTR7: Data Science and Analytics

Cybersecurity Data Science (CSDS) PORTFOLIO                          SCOTT ALLEN MONGEAU

Cybersecurity Data Science: Best Practices in an Emerging Profession https://www.springer.com/gp/book/9783030748951   This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice.  This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement.  Grounded in the management […]

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 […]

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 […]

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 […]

An Uncomfortable Status Quo This month, barely eight weeks from the WannaCry ransomware outbreak, yet another destructive worm attack has disabled systems and compromised data globally: PetrWrap (AKA NotPetya, Nyetya, or GoldenEye). Beleaguered cybersecurity professionals have responded yet again with a flurry of patches and guidance to plug the holes. Based on trending events, there is […]