CSR DS4CS 2021

2021 IEEE CSR Workshop on Data Science for Cyber Security (DS4CS)

July 26, 2021

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Prospective authors are encouraged to submit previously unpublished contributions from a broad range of topics, which include but are not limited to the following: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 31, 2021 AoE
Camera-ready submission: May 10 June 7, 2021 AoE
Early registration deadline: June 14, 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)

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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)

Program Information

All sessions are held in Nafsika room (July 26, 2021)

Keynote session WS-DS4CS1

Chair: Christos Tryfonopoulos, University of Peloponnese (GR)

10:00–10:20 CET

Welcome from the DS4CS workshop chairs

C. Tryfonopoulos, S. Skiadopoulos, and S. Idreos

10:20–11:00 CET

Invited talk: Tracking IoT botnets in the wild

Angelos K. Marnerides, University of Glasgow (UK)

Biography. Dr. Angelos K. Marnerides is Senior Lecturer (eq. tenured Associate Professor) in the School of Computing Science at the University of Glasgow, UK, leading the Glasgow Cyber Defence Group (GCDG). His research revolves around data-driven security and resilience for Internet-enabled cyber physical systems, the IoT and the Internet at scale. Prior to that he was an Assistant Professor with the School of Computing and Communications at Lancaster University where he founded the innovative Digital Infrastructure Defense (i-DID) group and led the activities of 11 researchers. His research has received significant funding from the industry (e.g., Fujitsu, BAE, Raytheon), governmental bodies (e.g., EU, IUK, EPSRC) and he has been invited to serve as an expert reviewer in grant proposal panels and research assessment exercise frameworks (e.g., Hong-Kong RAE, EU, Chilean research commission, Polish National Science Centre, Israel Innovation Authority). He has been a member of the IEEE and the ACM since 2007 and served as a TPC member, track chair, workshop co-chair and organiser for several top IEEE and IFIP conferences including IEEE ICC, IEEE GLOBECOM, IEEE INFOCOM, IEEE CCNC, IFIP Networking, IEEE WoWMoM, and IEEE GLOBALSIP leading him to receive IEEE ComSoc contribution awards in 2016 and 2018. Angelos holds an MSc and PhD in Computer Science (Lancaster University, ’07 & ’11) and held postdoctoral and visiting researcher positions at Carnegie Mellon University (USA), University of Porto (Portugal), Lancaster University (UK) and University College London (UK).



Coffee break



Technical session WS-DS4CS2

Chair: Spiros Skiadopoulos, University of Peloponnese (GR)

11.40–12:00 CET

Social media monitoring for IoT cyber-threats

S. Alevizopoulou, P. Koloveas, C. Tryfonopoulos, and P. Raftopoulou

12.00–12:20 CET

Data exfiltration: Methods and detection countermeasures

J. King, G. Bendiab, N. Savage, and S. Shiaeles

12.20–12:40 CET

Detecting adversarial DDoS attacks in software-defined networking using deep learning techniques and adversarial training

B. Nugraha, N. Kulkarni, and A. Gopikrishnan



Lunch break



Technical session WS-DS4CS3

Chair: Christos Tryfonopoulos, University of Peloponnese (GR)

14:00–14:20 CET

Unveiling MIMETIC: Interpreting deep learning traffic classifiers via XAI techniques

A. Nascita, A. Montieri, G. Aceto, D. Ciuonzo, V. Persico, and A. Pescape

14:20–14:40 CET

Detecting attacks on IoT devices using featureless 1D-CNN

A. Khan and C. Cotton

14:40–15:00 CET

DAHID: Domain adaptive host-based intrusion detection

O. Ajayi and A. Gangopadhyay

See also the conference’s overall program.

DAHID: Domain adaptive host-based intrusion detection
O. Ajayi and A. Gangopadhyay

Data exfiltration: Methods and detection countermeasures
J. King, G. Bendiab, N. Savage, and S. Shiaeles

Detecting adversarial DDoS attacks in software-defined networking using deep learning techniques and adversarial training
B. Nugraha, N. Kulkarni, and A. Gopikrishnan

Detecting attacks on IoT devices using featureless 1D-CNN
A. Khan and C. Cotton

Social media monitoring for IoT cyber-threats
S. Alevizopoulou, P. Koloveas, C. Tryfonopoulos, and P. Raftopoulou

Unveiling MIMETIC: Interpreting deep learning traffic classifiers via XAI techniques
A. Nascita, A. Montieri, G. Aceto, D. Ciuonzo, V. Persico, and A. Pescape

See also the conference’s overall list of accepted papers.