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ACM Transactions on Management Information Systems (TMIS) Call for
Papers: Special Issue on Analytics for Cybersecurity and Privacy
_____________________________________________________________________________________
Editor-in-Chief:
Dr. Daniel Zeng, Professor, Management Information Systems,
University of Arizona
Guest Editors:
* Dr. Hsinchun Chen, Regents Professor, Management Information
Systems, University of Arizona
(
hchen@eller.arizona.edu<mailto:hchen@eller.arizona.edu>)
* Dr. Murat Kantarcioglu, Professor, Computer Science, UT Dallas
(
muratk@utdallas.edu<mailto:muratk@utdallas.edu>)
* Dr. Sagar Samtani, Assistant Professor, Information Systems and
Decision Sciences, University of South Florida
(
ssamtani@usf.edu<mailto:ssamtani@usf.edu>)
Background:
The rapid proliferation of computing technologies has led to
modern society's irreversible reliance on complex information
systems (IS) to execute day-to-day operations. Unfortunately,
these systems often contain numerous vulnerabilities that allow
malicious hackers from across the globe to circumvent
cybersecurity controls and manipulate them in a fashion not
intended by the developer. These cyber-attacks result in hundreds
of billions of dollars of loss and jeopardize the privacy of
hundreds of millions of citizens. Increasingly sophisticated
attack methods developed and used by cyber criminals and the
growing role of outdated cyberinfrastructure and malicious
insiders in several recent large-scale security breaches clearly
indicate that traditional reactive approaches to information
security and privacy can no longer keep up. Analytics is the key
element in enhancing cyber resilience. To date, numerous social
media analytics, stream data mining, social network analysis, and
advers
arial modeling, have been applied on terabytes of heterogeneous
data ranging from the traditional internal server and application
logs for vulnerability and risk assessment, to the emerging
external adversarial hacker community (i.e., Dark Web) threats for
proactive cyber threat intelligence (CTI). However, the highly
dynamic threat landscape necessitates the development of novel
analytics to quickly sift through large quantities of structured,
unstructured, and semi-structured data to identify patterns,
emerging threats, and key hackers. Ultimately, such advances can
improve modern society's cybersecurity posture and protect the
privacy of millions of people across the globe.
Scope and Topics of Interest:
This special issue seeks high quality papers related to emerging
applications, techniques, and methodologies related to analytics
for cybersecurity and privacy applications. Topics of interest
include, but are not limited to:
* Dark Web Analytics for Proactive Cyber Threat Intelligence
applications
* Open Source Intelligence (OSINT) and Social Media Intelligence
(SOCINT) analytics for cybersecurity applications
* Adversarial machine learning for cybersecurity or privacy
applications
* Phishing analytics (e.g., email, website, mobile, etc.)
* Security Intelligence Augmentation (e.g., human-in-the-loop
systems)
* Big Data malware analysis (e.g., APT, static, dynamic,
Hadoop/SPARK-based)
* IoT analysis (e.g., fingerprinting, anomaly detection, network
telescopes, measurements etc.)
* Real-time analytics for threat detection (e.g., stream mining)
* Security data fusion (e.g., event correlation)
* Privacy analytics (e.g., pre-post GDPR analysis)
* Data anonymization techniques for privacy
* Privacy preserving data mining
All accepted manuscripts are expected to make a significant
scientific contribution and present a rigorous evaluation of the
Information Systems Outcomes focus on implementation in real world
practices and analysis of real world practices to advance real
world outcomes.
Paper length: Papers in the Research Article category should be
4,000 to 6,000 words. ACM TMIS discourages excessively long papers
(more than 7,000 words). Please visit
https://tmis.acm.org/authors.cfm for additional submission
guidelines.
Submission Information:
For submission instructions and reviewing procedure, please refer
to
http://tmis.acm.org/authors.cfm and add a comment in the email
to the Assistant to the Editor-In-Chief that the submission is
intended for the special issue on: Analytics for Cybersecurity and
Privacy. Then, please select the paper type for submission called
"Analytics for Cybersecurity and Privacy." All papers will be
reviewed by three external reviewers, plus at least one guest
editor.
Editorial Timeline:
* Submission Deadline: September 15, 2019
* Notification to Authors (first round): December 1, 2019
* Revision Deadline: February 15, 2020
* Final Notification to Authors: May 1, 2020
* Publication Date (tentative): October 2020
ACM Transactions on Management Information Systems (ACM TMIS) is a
scholarly quarterly journal of the Association for Computing
Machinery (ACM) that focuses on publishing high quality
information systems research. TMIS welcomes innovative work on the
design, development, assessment, and management of information
technology and systems within organizations, businesses, and
societies. TMIS is indexed by the Emerging Sources Citation Index
(ESCI) and other scientific databases, such as SCOPUS, INSPECT,
and Ei Compendex (EI). For further information, please visit
tmis.acm.org.
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