[AISWorld] CFP: ICIS 2023 Track on Cybersecurity and Privacy

[D'Arcy, John]

Dear All,

Please consider submitting your research to the ICIS 2023 track on "Cybersecurity and Privacy."

Track Description:

Cybersecurity is an arms-race between attackers and defenders. The attacks evolve with the development of technologies, such as cloud computing, artificial intelligence (AI), and payment methods. Cloud security breaches caused by poor password security practices in cloud systems are a case in point. The defenders, in response, must secure their systems, which put them at the forefront of dealing with emerging issues presented by new technologies. These new emerging issues include responding to the changing regulatory landscape, advancing organizational best practices, and understanding the behavioral and privacy challenges.


The Covid-19 pandemic and the digital disruption that ensued has only heightened the cybersecurity concerns of organizations. This is because expanding digital infrastructures, such as those needed to facilitate remote work arrangements, create additional attack vectors for cybercriminals and other adversaries. More generally, modern digital innovation and transformation projects bring about increased cybersecurity and privacy risks for users and organizations. For example, companies increasingly face the non-trivial task of striking a balance between executing data analytics initiatives and ensuring sufficient security/privacy protection.

Further, as the modern economy is increasingly dependent on user-supplied data, privacy concerns remain an important topic on the research and policy agenda. Currently, scientific evidence on the impact of privacy concerns on users' behavior remains mixed. It is still to be understood what value users attach to their privacy and what it depends on. Moreover, increasing calls for data donation put pressure on researchers to better understand individual decision-making in these highly complex scenarios.


This track aims to encourage cutting edge research that focuses on topics in cybersecurity and privacy (either jointly or separately). A goal is to facilitate timely debates on the application of theories and methods that broaden and deepen our understanding of the newly emerging phenomena and classical problems in these areas (cybersecurity and privacy).



Topics of interest include, but are not limited to:

  *   AI for cybersecurity
  *   Economic aspects of managing cybersecurity and privacy
  *   Adoption, use, and continuance of cybersecurity technologies and policies
  *   Employee accountability, insider threats, computer abuse, and employee insecure behaviors
  *   Corporate strategies, governance, and compliance in cybersecurity and privacy
  *   Cyberwarfare and cybersecurity
  *   Identify theft and deception in online communication
  *   Design and development of cybersecurity and privacy enhancing technologies
  *   Digital forensics and investigations of cybercrime and cybersecurity policy violations
  *   Hacker culture, white hat and black hat research issues
  *   Neuroscience applications to cybersecurity
  *   Cybersecurity risk analysis and management
  *   Socio-technical policies and mechanisms for countering cyber threats
  *   Security and privacy concerns with social media
  *   Security and privacy metrics
  *   Security and privacy of mobile devices
  *   Privacy concerns and user behavior
  *   Privacy paradox
  *   The value of data
  *   User behavior in the face of privacy threats
  *   Online self-disclosure
  *   Data donation



For more information on the track:

https://icis2023.aisconferences.org/track-descriptions/#toggle-id-6



For more information on the conference:

https://icis2023.aisconferences.org/



Submission deadline: May 4, 2023 11:59 PM EDT (New York Time) (Thurs)



Acceptance Notification: July 31 (Mon)



Conference Dates and Venue: December 10-13, 2023 in Hyderabad, India



We are looking forward to your submissions!



Regards,

John D'Arcy University of Delaware (jdarcy at udel.edu<mailto:jdarcy at udel.edu>)

Juhee Kwon, City University of Hong Kong (juhee.kwon at cityu.edu.hk<mailto:juhee.kwon at cityu.edu.hk>)

Hanna Krasnova, University of Potsdam (krasnova at uni-potsdam.de<mailto:krasnova at uni-potsdam.de>)