scholarly journals A Short-Cycle Framework Approach to Integrating Psychometric Feedback and Data Analytics to Rapid Cyber Defense

2019 ◽  
pp. 45-58 ◽  
Author(s):  
Erik L. Moore ◽  
Steven P. Fulton ◽  
Roberta A. Mancuso ◽  
Tristen K. Amador ◽  
Daniel M. Likarish
Keyword(s):  
Data Analytics ◽  
Cyber Defense ◽  
Short Cycle ◽  
Framework Approach

Artificial Intelligence and Big Data Analytics in Support of Cyber Defense

2021 ◽  
pp. 1738-1753
Author(s):  
Louise Leenen ◽  
Thomas Meyer
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Future Research ◽  
Data Sets ◽  
Data Types ◽  
Cyber Defense ◽  
Intelligent Decision Making ◽  
Big Data Technologies

Cybersecurity analysts rely on vast volumes of security event data to predict, identify, characterize, and deal with security threats. These analysts must understand and make sense of these huge datasets in order to discover patterns which lead to intelligent decision making and advance warnings of possible threats, and this ability requires automation. Big data analytics and artificial intelligence can improve cyber defense. Big data analytics methods are applied to large data sets that contain different data types. The purpose is to detect patterns, correlations, trends, and other useful information. Artificial intelligence provides algorithms that can reason or learn and improve their behavior, and includes semantic technologies. A large number of automated systems are currently based on syntactic rules which are generally not sophisticated enough to deal with the level of complexity in this domain. An overview of artificial intelligence and big data technologies in cyber defense is provided, and important areas for future research are identified and discussed.

Act or Be Acted Upon: Revolutionizing Accounting Curriculums with Data Analytics

2020 ◽  
Author(s):  
Vernon J. Richardson ◽  
Marcia Weidenmier Watson
Keyword(s):  
Real World ◽  
Data Analytics ◽  
Core Competencies ◽  
Real World Data ◽  
Use Of Data ◽  
Accounting Curriculum ◽  
Framework Approach ◽  
Business Acumen ◽  
Using Data ◽  
Do So

Technology is revolutionizing accounting. To survive, accountants must focus on areas where they can complement technology and carve out a competitive advantage where the expertise of accountants is uniquely needed. To do so, we highlight the new core competencies emphasizing the use of data analytics. We propose a new, revolutionized curriculum focusing on (1) providing students with a step-by-step framework/approach for analyzing the data that includes the use of statistics; (2) using data analytics across the accounting curriculum to build data analytics skills; and (3) incorporating the use of real-world data for its analysis. This new curriculum combines business acumen to provide context as well as technological adeptness to analyze the data, and prepares the CPA professional for the future. We conclude by arguing that the accounting profession faces a choice: either master technology or be mastered by technology. The choice is ours. Act or be acted upon.

Artificial Intelligence and Big Data Analytics in Support of Cyber Defense

2019 ◽  
pp. 42-63 ◽  
Author(s):  
Louise Leenen ◽  
Thomas Meyer
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Future Research ◽  
Data Sets ◽  
Data Types ◽  
Cyber Defense ◽  
Intelligent Decision Making ◽  
Big Data Technologies

Cybersecurity analysts rely on vast volumes of security event data to predict, identify, characterize, and deal with security threats. These analysts must understand and make sense of these huge datasets in order to discover patterns which lead to intelligent decision making and advance warnings of possible threats, and this ability requires automation. Big data analytics and artificial intelligence can improve cyber defense. Big data analytics methods are applied to large data sets that contain different data types. The purpose is to detect patterns, correlations, trends, and other useful information. Artificial intelligence provides algorithms that can reason or learn and improve their behavior, and includes semantic technologies. A large number of automated systems are currently based on syntactic rules which are generally not sophisticated enough to deal with the level of complexity in this domain. An overview of artificial intelligence and big data technologies in cyber defense is provided, and important areas for future research are identified and discussed.

Vigilance in cyber defense: A strategy and individual differences-based approach

2014 ◽  
Author(s):  
Ben D. Sawyer ◽  
Victor Finomore ◽  
Joel Warm ◽  
Peter A. Hancock
Keyword(s):  
Individual Differences ◽  
Cyber Defense

Assessing Potential Herb-Drug Interactions Using a Common Framework Approach: Boswellia serrata as a Case Study

Planta Medica ◽  
2016 ◽  
Vol 82 (05) ◽  
Author(s):  
AL Roe ◽  
C Black ◽  
K Brouwer ◽  
J Jackson ◽  
FB Jariwala ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Boswellia Serrata ◽  
Framework Approach ◽  
Common Framework

Big Data Analytics: The Next Big Thing

2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Strategy in Discovery Mode - Wie Big Data & Analytics strategisches Denken verdrängen kann

2020 ◽  
Vol 49 (5) ◽  
pp. 11-17
Author(s):  
Thomas Wrona ◽  
Pauline Reinecke
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.

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