DS4CS 2021
2021 IEEE CSR Workshop on Data Science for Cyber Security (DS4CS)
Over the years cyber-threats have increased in numbers and sophistication; adversaries now use a vast set of tools and tactics to attack their victims with their motivations ranging from intelligence collection to destruction or financial gain. Lately, the introduction of IoT devices on a number of applications, ranging from home automation to monitoring of critical infrastructures, has created an even more complicated cyber-defense landscape. The sheer number of IoT devices deployed globally, most of which are readily accessible and easily hacked, allows threat actors to use them as the cyber-weapon delivery system of choice in many today’s cyber-attacks, ranging from botnet-building for DDoS attacks, to malware spreading and spamming.
Staying on top of these evolving cyber-threats has become an increasingly difficult task that nowadays entails the collection, analysis, and leveraging of huge volumes of data and requires methodologies and techniques located at the intersection of statistics, data mining, machine learning, visualization and big data. Although the application of Data Science methodology to the Cyber Security domain is a relative new topic, it steadily gathers the interest of the research community as showcased by the utilization of data science techniques in a variety of cyber-defense facets that include proactive technologies (e.g., cyber-threat intelligence gathering and sharing), platform profiling (e.g., trust calculation and blacklisting), attack detection/mitigation (e.g., active network monitoring, situational awareness, and adaptable mitigation strategies), and others. This workshop aims to spotlight cutting-edge research in data science driven cyber-security in academia, business and government, as well as help in the alignment of these endeavors.
Topics of Interest
Prospective authors are encouraged to submit previously unpublished contributions from a broad range of topics, which include but are not limited to the following:
› Big data-driven cyber-security (incl. analytics, management)
› Machine and deep learning methods for cyber-security (incl. malware/phishing/botnet/ spam/intrusion/anomaly detection)
› Visualization methods (incl. visual situation awareness, VR & AR visualization, real-time visualization)
› AI-driven cybersecurity
› Private information retrieval
› Cyber-threat intelligence collection, identification and sharing at scale
› Private/sensitive information protection
› Machine-learning powered traffic analysis and attack modelling
› Machine learning-based platform profiling and trust management
› Advanced attack detection and mitigation
Important Dates
Paper submission deadline: April 19 May 10, 2021 AoE (firm)
Authors’ notification: May 3 May 24, 2021 AoE
Camera-ready submission: May 10 May 31, 2021 AoE
Early registration deadline: May 31, 2021 AoE
Workshop date: July 26, 2021
Submission Guidelines
The workshop’s proceedings will be published by IEEE and will be included in IEEE Xplore. The guidelines for authors, manuscript preparation guidelines, and policies of the IEEE CSR conference are applicable to DS4CS 2021 workshop. Please visit the authors’ instructions page for more details. When submitting your manuscript via the conference management system, please make sure that the workshop’s track 2T4 DS4CS is selected in the Topic Areas drop down list.
Workshop Committees
Workshop chairs
Christos Tryfonopoulos, University of Peloponnese (GR)
Spiros Skiadopoulos, University of Peloponnese (GR)
Stratos Idreos, Harvard University (US)
Publicity chair
Paraskevi Raftopoulou, University of Peloponnese (GR)
Contact us
Program committee
Christos Anagnostopoulos, University of Glasgow (UK)
Avi Arampatzis, Democritus University of Thrace (GR)
Denilson Barbosa, University of Alberta (CA)
Srikanta Bedathur, IIT Delhi (IN)
Christos Dimitrakakis, University of Oslo (NO)
Gabriel Ghinita, University of Massachusetts at Boston (US)
Aris Gkoulalas-Divanis, IBM Watson (US)
Christos Iliou, Centre for Research and Technology (GR); Bournemouth University (UK)
Mouna Kacimi, Free University of Bozen-Bolzano (IT)
Panos Kalnis, King Abdullah University of Science and Technology (SA)
Gjergji Kasneci, University of Tübingen (DE)
Aniket Kate, Purdue University (US)
George Kollios, Boston University (US)
George Lepouras, University of Peloponnese (GR)
Ida Mele, IASI-CNR (IT)
Dimitris Michail, Harokopio University of Athens (GR)
Katerina Mitrokotsa, Chalmers University of Technology (SE)
Luis Munoz Gonzalez, Imperial College London (UK)
Kim Pecina, DIaLOGIKa GmbH (DE)
Nikos Platis, University of Peloponnese (GR)
Neoklis Polyzotis, Google (US)
Panagiotis Rizomiliotis, Harokopio University of Athens (GR)
Alkis Simitsis, Athena Research Center (GR)
Marco Squarcina, TU Wien (AT)
Theodora Tsikrika, Centre for Research and Technology (GR)
Ioannis Tsimperidis, Democritus University of Thrace (GR)
Thanasis Vergoulis, Athena Research Center (GR)