Data Science in Cybersecurity and Cyberthreat Intelligence

Author:   Leslie F. Sikos ,  Kim-Kwang Raymond Choo
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   177
ISBN:  

9783030387877


Pages:   129
Publication Date:   06 February 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Data Science in Cybersecurity and Cyberthreat Intelligence


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Author:   Leslie F. Sikos ,  Kim-Kwang Raymond Choo
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   177
Weight:   0.454kg
ISBN:  

9783030387877


ISBN 10:   3030387879
Pages:   129
Publication Date:   06 February 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

The Formal Representation of Cyberthreats for Automated Reasoning.- A Logic Programming Approach to Predict Enterprise-Targeted Cyberattacks.- Discovering Malicious URLs Using Machine Learning Techniques.- Machine Learning and Big Data Processing for Cybersecurity Data Analysis.- Systematic Analysis of Security Implementation for Internet of Health Things in Mobile Health Networks.- Seven Pitfalls of Using Data Science in Cybersecurity.

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Author Information

Dr. Leslie F. Sikos is a computer scientist specializing in network forensics and cybersecurity applications powered by artificial intelligence and data science. He has worked in both academia and the industry and acquired hands-on skills in datacenter and cloud infrastructures, cyberthreat management, and firewall configuration. He regularly contributes to major cybersecurity projects in collaboration with the Defence Science and Technology Group of the Australian Government, CSIRO’s Data61, and the CyberCRC. He is a reviewer of journals such as Computers & Security and Crime Science and chairs sessions at international conferences on AI in cybersecurity. Dr. Sikos holds professional certificates and is a member of industry-leading organizations, such as the ACM, the IEEE Special Interest Group on Big Data for Cyber Security and Privacy, and the IEEE Computer Society Technical Committee on Security and Privacy.  Prof. Kim-Kwang Raymond Choo received a Ph.D. in Information Security in 2006 from the Queensland University of Technology, Australia. He currently holds a Cloud Technology Endowed Professorship at The University of Texas at San Antonio, USA, and has a courtesy appointment at the University of South Australia, Australia. He serves on the editorial board of Computers & Electrical Engineering, Computers & Security, Cluster Computing, Digital Investigation, IEEE Access, IEEE Blockchain Newsletter, IEEE Cloud Computing, IEEE Communications Magazine, IEEE Transactions on Big Data, Future Generation Computer Systems, Journal of Network and Computer Applications, PLoS ONE, Soft Computing, etc. He also serves as the Special Issue Guest Editor of ACM Transactions on Embedded Computing Systems (2017), ACM Transactions on Internet Technology (2016), Applied Soft Computing (2018), Computers & Electrical Engineering (2017), Computers & Security (2018), Digital Investigation (2016), Future Generation Computer Systems (2016, 2018), IEEE Access (2017, 2018), IEEE Cloud Computing (2015), IEEE Communications Magazine (2018), IEEE Network (2016), IEEE Transactions on Cloud Computing (2017), IEEE Transactions on Dependable and Secure Computing (2017), IEEE Transactions on Industrial Informatics (2018), Journal of Computational Science (2018), Journal of Computer and System Sciences (2017), Multimedia Tools and Applications (2017), Personal and Ubiquitous Computing (2017), Pervasive and Mobile Computing (2016), Wireless Personal Communications (2017), etc. In 2016, he was named the Cybersecurity Educator of the Year – APAC (Cybersecurity Excellence Awards are produced in cooperation with the Information Security Community on LinkedIn), and in 2015, he and his team won the Digital Forensics Research Challenge organized by the University of Erlangen-Nuremberg, Germany. He is the recipient of the 2018 UTSA College of Business Col. Jean Piccione and Lt. Col. Philip Piccione Endowed Research Award for Tenured Faculty, IEEE TrustCom 2018 Best Paper Award, ESORICS 2015 Best Research Paper Award, 2014 Highly Commended Award by the Australia New Zealand Policing Advisory Agency, Fulbright Scholarship in 2009, 2008 Australia Day Achievement Medallion, and British Computer Society’s Wilkes Award in 2008. He is also a Fellow of the Australian Computer Society and an IEEE Senior Member.    ​

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