Post-Quantum Cryptography Migration: Securing Data and Protecting
Privacy
Biography:
Robert Deng is Lee Kong Chian Chair Professor, Deputy Dean for
Faculty & Research, School of Computing and Information Systems,
Singapore Management University (SMU). His research interests are in the
areas of data security and privacy, network and distributed system
security, and applied cryptography. He received the Outstanding
University Researcher Award from National University of Singapore, Lee
Kuan Yew Fellowship for Research Excellence and Zhongni Distinguished
Educator Award from SMU, Asia-Pacific Information Security Leadership
Achievements and Community Service Star from International Information
Systems Security Certification Consortium (ISC2), the Public
Administration Medal (Silver) Singapore National Day Award. He is a
Fellow of IEEE, AAIA, and Academy of Engineering Singapore.
Abstract:
The rapid advancement of quantum computing poses a fundamental threat
to today's public-key cryptography, making the transition to
post-quantum cryptography (PQC) an urgent global priority. This talk
begins with an overview of the quantum threat landscape, recent
developments in PQC standardization, and the practical challenges of
migrating existing systems to quantum-safe cryptography. The talk then
explores how PQC serves not only as a replacement for classical
public-key cryptography but also as a foundation for a new generation of
secure data protection and privacy-preserving applications. Two recent
research projects will be presented. KyberBridge extends the
NIST-standardized ML-KEM (Kyber) to support efficient one-to-many
encrypted data sharing through broadcast proxy re-encryption. Keyword
PIR enables users to retrieve records using keyword queries without
revealing their interests to the server, while achieving efficiency
comparable to state-of-the-art quantum-safe index PIR. Together, these
examples demonstrate how PQC can enable practical quantum-safe
applications that extend well beyond secure communications.
Keynote Speech 2:
XiaoSong Zhang, University of Electronic Science and
Technology of China
Presentation Title:
Active Cybersecurity Models and Applications
Biography:
He is a professor and doctoral supervisor specializing in
cybersecurity and network confrontation. He received his bachelor’s
degree from Shanghai Jiao Tong University and his master’s and doctoral
degrees from the University of Electronic Science and Technology of
China. As a pioneering scholar in China’s automated network
confrontation research, he has focused on intelligent cybersecurity
theories and technologies since 2004, mainly covering threat perception,
detection defense, and traceability. He originally proposed the active
cybersecurity SAPC model and established a scientific research paradigm
for automated network confrontation, whose relevant achievements were
selected as outstanding outcomes of the 13th Five-Year Plan National
Natural Science Foundation Project. He has long presided over national
key R&D programs and key National Natural Science Foundation
projects, leading the development of a series of core cybersecurity
platforms that have advanced the systematic and automated development of
China’s network security technologies. Academically, he has published 5
monographs, 2 translated works and 249 SCI/EI-indexed papers, and holds
63 authorized national invention patents. His original technological
achievement, the domestic dedicated programming language and system for
cybersecurity, was selected as one of the 2023 Top Ten Information and
Communication Technological Advances and won the 2024 First Prize of
China Institute of Communications Science and Technology Progress
Award.
Abstract:
Network confrontation in non-cooperative computer systems represents
the core challenge of modern cybersecurity. Traditional defense
strategies, which depend on passive response mechanisms, struggle to
address sophisticated and unknown network threats. To tackle this
limitation, the active cybersecurity concept is proposed to upgrade
defense capabilities through integrated technical and strategic defense
systems. This concept treats attackers and defenders as rational
decision-makers optimizing their respective benefits, and adopts game
theory to analyze their interactive behaviors and optimize confrontation
strategies. On this basis, the SAPC active cybersecurity model is
established to achieve integrated defense covering threat perception,
analysis, tracing and response, with four core modules: intelligent
perception, in-depth analysis, live visualization, and countermeasure.
By modeling network confrontation as a dynamic game process, SAPC
constructs a rigorous theoretical and practical cybersecurity framework.
It realizes a paradigm shift from passive emergency response to active
proactive confrontation, and promotes the innovative development of
cybersecurity technologies with predictive, preventive and strategic
defense capabilities.
Keynote Speech 3:
Aniello Castiglione, University of Salerno
Presentation Title:
Quantum Computing: Fact, Issues and Applications
Biography:
Aniello Castiglione received his PhD in Computer Science from the
University of Salerno, Italy, where he currently serves as Associate
Professor in the Department of Management & Innovation Systems. In
2021, he obtained the Italian National Scientific Qualification for the
position of Full Professor in Computer Science. His scientific activity
is marked by a strong international profile, with more than 300
publications in international journals and conference proceedings. His
international collaboration network includes more than 95 co-authors
affiliated with over 84 institutions across more than 25 countries. He
has also contributed to the organization of approximately 300
international conferences, mainly as Program Chair and Technical Program
Committee member. On the editorial side, he is currently Managing Editor
and Editor-in-Chief for Special Issues of Elsevier’s Image and Vision
Computing. Until 2024, he served as Editor-in-Chief for Special Issues
of the Journal of Ambient Intelligence and Humanized Computing,
published by Springer. He has also been Managing Editor of two
ISI-indexed international journals, reviewer for around 140
international scientific journals, Guest Editor of about 30 Special
Issues, and member of more than 10 Editorial Boards of international
journals, including IEEE Transactions on Sustainable Computing, IEEE
Access, IET Image Processing, Journal of Ambient Intelligence and
Humanized Computing, Multimedia Tools and Applications, Cyber Security
and Applications, IET Intelligent Transport Systems, Sustainability,
Smart Cities, Future Internet, and Electronics. According to Web of
Science Essential Science Indicators, two of his papers, published
respectively in IEEE Transactions on Computers and Future Generation
Computer Systems, were recognized as “Highly Cited Paper” and “Research
Front paper”, placing them among the top 1% of worldwide publications in
Computer Science in 2017 and 2022. Since 2019, he has consistently been
included in Stanford University’s ranking of the world’s top 100,000
most influential scientists, based on Scopus data, in the areas of
Artificial Intelligence & Image Processing and Networking &
Telecommunications. Since 2022, he has also appeared in the Italian
Computer Science Top Scientists ranking published by Research.com. His
main research interests include Artificial Intelligence in Cyber
Security, Information Forensics, Digital Forensics, Cloud Security and
Privacy, Communication Networks, Post-Quantum Cryptography, Quantum
Computing, Applied Cryptography, Steganography, and Sustainable
Computing. He is a member of IEEE and ACM.
Abstract:
As the era of Noisy Intermediate-Scale Quantum (NISQ) technology
advances, the risk of quantum-based attacks capable of breaking
conventional encryption becomes increasingly realistic. This is
particularly concerning for Blockchain and Trustworthy Systems, which
depend heavily on cryptographic mechanisms to ensure full security. The
emergence of quantum computing introduces serious challenges, as
existing blockchain infrastructures rely on cryptographic algorithms
that are susceptible to quantum breakthroughs. One of the most
vulnerable algorithms is the widely adopted Elliptic Curve Digital
Signature Algorithm (ECDSA), which experts warn could be compromised as
early as 2027, according to the most optimistic forecasts. Furthermore,
the shift to post-quantum cryptography raises critical questions about
the associated costs, including energy consumption and the additional
storage required to implement these new cryptographic methods. The
tremendous computational power of quantum devices holds the potential to
significantly contribute to building a more reliable and secure world.
However, this power also brings the risk of exploitation, putting
numerous systems in jeopardy. To safeguard the digital environment and
ensure the privacy and security of people worldwide, implementing strict
regulations and advanced quantum security techniques—such as
Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), and
Quantum Random Number Generators (QRNG)—will be crucial.
Keynote Speech 4:
Jianwei Liu, Beihang University
Presentation Title:
AI-Empowered Security for 6G Networks
Biography:
Jianwei Liu is a Professor and Ph.D. supervisor at Beihang
University, and the founding Dean of its School of Cyber Science and
Technology. He is a National Distinguished Teaching Professor and a
recipient of the Special Government Allowance of the State Council of
China.
He currently serves as a member of the Discipline Appraisal Group of
the Academic Degrees Committee of the State Council, Vice Chair of the
Ministry of Education Steering Committee for Cyberspace Security
Education, and a member of the National Steering Committee for
Professional Degree Graduate Education in Cryptography. He is a Standing
Council Member of the Chinese Association for Cryptologic Research, and
a Standing Council Member and Chair of the Publication Committee of the
Cyber Security Association of China. He is Executive Associate
Editor-in-Chief of the Journal of Cyberspace Security Science and
Associate Editor-in-Chief of the Chinese Journal of Network and
Information Security. He has served as chief editor of 16 textbooks, and
has authored 7 monographs and translated 1 book. His honors include the
National Distinguished Teaching Professor award, the National Cyber
Security Outstanding Teacher Award, the Baosteel Outstanding Teacher
Special Prize, the Beijing Distinguished Teaching Professor Award, and
the Beijing Outstanding Teacher Award.
Abstract:
The sixth generation of mobile communications (6G), envisioned as an
intelligently connected world spanning land, sea, air and space, will
deliver terabit-per-second data rates, sub-millisecond latency and
ultra-high reliability for a vast range of applications. However, the
heterogeneous interconnection and ubiquitous connectivity of 6G raise
severe security challenges: unified management is hard to guarantee,
massive numbers of devices are hard to control, and network trust is
hard to establish. Artificial intelligence (AI), with its capabilities
in learning, knowledge reasoning, and perception-driven decision making,
breaks through the limits of human expertise. With an AI engine at its
core, deep collaboration across security layers, and closed-loop
feedback for adaptive learning, an AI-empowered 6G security architecture
can make endogenous security in 6G networks a reality.
This talk focuses on the emerging requirements and unique challenges
of 6G network security and proposes a deeply integrated, AI-empowered
security architecture. It elaborates on the core enabling role of AI in
protecting the physical layer, the network layer and the service layer
of 6G, and identifies the specific points at which AI can empower each
layer. It further reviews frontier research topics and key technologies
in AI-empowered 6G security, and outlines promising directions for
future work, aiming to provide both theoretical reference and practical
guidance for advancing endogenous security in 6G.
Keynote Speech 5:
Shengke Zeng, Xihua University
Presentation Title:
Encrypted Data Deduplication: Rebuilding Trust Models for Cloud
Storage Optimization
Biography:
Candidate for Academic and Technical Leaders of Sichuan Province, and
recipient of Xihua University's "My Favorite Teacher" title. She has
worked as a research assistant and visiting scholar at Curtin University
(Australia), University of Waterloo (Canada) and University of
Wollongong (Australia). Currently, she serves as a Standing Committee
Member of the Professional Committee on Big Data Security and Privacy
Computing of the Chinese Information Processing Society of China.
Focusing on the research of cryptography and information security, she
has presided over 8 national and provincial-level scientific research
projects on privacy protection in vehicular ad-hoc networks and data
security in industrial internet. As the first (corresponding) author,
she has published more than 40 papers in journals and conferences
including IEEE TDSC/TSC, IEEE ICC, JIII, The Computer Journal and TCS.
She has presided over the construction of provincial first-class
undergraduate courses, provincial advanced courses and provincial
high-quality postgraduate teaching resources, and won the second prize
of teaching achievement, the third prize of the Outstanding Talent and
Educator Challenge of China Chengdu International Software Design and
Application Competition as the first achiever. She also guided the
postgraduate work "Pioneer of Secure Exchange and Sharing of Encrypted
Data in Cloud Computing" to win the provincial silver award in the
"Internet+" competition.
Abstract:
Cloud storage faces problems such as large data scale, high
redundancy and strong privacy requirements. Driven by encrypted data
deduplication, optimizing encrypted data storage is an important
approach to rebuild the trust model of cloud storage. Currently, there
are bottlenecks in encrypted data deduplication technology regarding
guess attacks, deduplication efficiency and cross-data type
deduplication, which cannot meet the requirements of efficient and
secure storage of large-scale data.
This presentation is based on the balance between storage efficiency
and privacy protection in a non-trusted execution environment. It
focuses on the technical limitations of encrypted data deduplication and
storage optimization requirements to realize the optimization of storage
space efficiency and privacy. It focuses on introducing technologies
such as batch secure deduplication, fuzzy deduplication, color-aware
deduplication and hierarchical deduplication. We also discuss the future
research feasibility of encrypted data deduplication in visual data
deduplication, entropy based similarity check and AI integrated
deduplication technology.
Keynote Speech 6:
Chiara Pero, Link Campus University
Presentation Title:
PQ-FLCom: Post-quantum secure communication for industrial federated
learning
Biography:
Chiara Pero received the B.Sc. and M.Sc. degrees in Computer Science
from the University of Salerno, Italy, in 2016 and 2018, respectively.
She earned the Ph.D. degree in Computer Science from the same university
in 2023, graduating with the highest distinction (“Excellent”) with a
dissertation entitled “Behavioral Biometrics in the Era of Artificial
Intelligence”. She is currently with Link Campus University, Rome,
Italy. She holds the Italian National Scientific Qualification (ASN) for
Associate Professor in Computer Science (Competition Sector 01/B1). She
has authored more than 50 peer-reviewed journal and conference
publications, which have received over 600 citations. She serves as
Associate Editor for several international journals and as Guest Editor
for numerous Special Issues and scientific workshops. She is a member of
the Biometrics and Image Processing Laboratory (BIPLab), the Context
Aware Security Analytics Laboratory (CASALab), and the Computer Graphics
Laboratory (CGLab). She is also an IEEE Member and a member of the
Italian Association for Research in Computer Vision, Pattern
Recognition, and Machine Learning (CVPL). Her research interests include
computer vision, pattern recognition, deep learning, biometrics, and
trustworthy artificial intelligence, with recent research focusing on
the integration of post-quantum cryptography into intelligent
systems.
Abstract:
Federated Learning (FL) has become a key paradigm for enabling
collaborative artificial intelligence in Industry 4.0 by allowing
distributed devices to train shared models without exchanging sensitive
data. Despite its privacy advantages, the continuous exchange of model
updates exposes FL to communication-level threats such as eavesdropping,
model poisoning, and man-in-the-middle attacks. Furthermore, the
emergence of quantum computing poses a significant challenge to the
classical cryptographic mechanisms currently protecting these
communications. PQ-FLCom is a modular communication framework that
integrates NIST-standardized post-quantum cryptographic primitives into
industrial federated learning systems. Its multi-level security
architecture provides configurable protection for confidentiality,
integrity, and authenticity while preserving the efficiency required by
Industrial Internet of Things (IIoT) applications. Experimental results
demonstrate the framework's robustness against communication-level
attacks and evaluate the computational overhead introduced by
post-quantum cryptography, showing that strong quantum-resistant
security can be achieved without compromising the practicality and
scalability of distributed learning systems.
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