WELCOME TO ADIoT 2024
The 7th International Conference on Attacks and Defenses for Internet-of-Things (ADIoT 2024)
Keynote 1:
Prof. Qiong Huang (South China Agricultural University, China)
Talk title: Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT
Abstract: The cloud-edge collaborative data sharing supporting data confidentiality can be realized by adopting outsourced Attribute-Based Encryption (ABE) schemes. Yet, most existing schemes in such kind of scenarios are facing challenges such as vulnerable terminal devices that are easy to be attacked, lack of flexible authorization management methods for a large number of devices, and lack methods to securely specify on-demand data sharing domains. In this paper, we propose a Domain-specific On-demand Access Control scheme with fully Independent Revocation (DOACIR), which not only realizes a three-layer on-demand data sharing framework for cloud-edge collaborative IoT environments but also allows data uploader to restrict the data sharing domain through a succinct way. The attribute authority and multiple edge servers perform data access authorization collaboratively to improve the data sharing efficiency as well as avoid the key-abuse problem and key-leakage problem. We further extend the scheme to support cross-domain data sharing, namely Cross-Domain DOACIR (CD-DOACIR), by improving the encryption phase allowing data uploader to specify any number of sharing domains while the size of ciphertext remains constant.
Bio: Qiong Huang received his PhD degree from City University of Hong Kong in 2010, and joined South China Agricultural University (SCAU) in 2011. Now he is a professor and the dean of College of Mathematics and Informatics, College of Software Engineering, SCAU. His main research interest is in cryptography, data privacy, blockchain technology and etc. He has been PI of about 20 research grants, and is the receiver of Guangdong Natural Science Foundation for Distinguished Young Scholars. He has published about 200 papers in prestigious international conferences and journals, e.g. ASIACRYPT, PKC, CT-RSA, ESORICS, IEEE TIFS, IEEE TDSC, IEEE TC, IEEE TSC, TCS and etc. He has served as Program Chair of several international conferences, e.g. ProvSec 2021, and as PC member of more than 50 international conferences. He is also the receiver of the Fok Ying Tung Education Foundation Award for College and University Young Scholars, and the ACM Guangzhou Rising Star Award.
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Keynote 2:
Dr. Guomin Yang (Singapore Management University, Singapore)
Talk title: Privacy Enhancing Technologies for IoT and Decentralized Systems: Approaches and Challenges
Abstract: Due to the fast evolving of computer and communications technologies and the increasing demand for user and data privacy, privacy enhancing technologies have gathered a lot of attention and been extensively studied by the cybersecurity community. This talk will review the challenges in building privacy-preserving solutions for IoT and decentralized systems from trust, privacy, usability, and accountability perspectives, followed by some recent proposals aiming to address those challenges. The talk will also discuss some gaps between the theoretical advancements and practical applications of the new technologies.
Bio: Guomin Yang is an Associate Professor & Lee Kong Chian Fellow at the School of Computing and Information Systems, Singapore Management University. He completed PhD in Computer Science from City University of Hong Kong, and then worked at the Temasek Lab, National University of Singapore, and University of Wollongong, before joining SMU in 2022. His research interests are applied cryptography and privacy enhancing technologies. He has published over 180 research papers at highly ranked cybersecurity venues such as Crypto, Asiacrypt, SP, NDSS. In 2015, he received the Australian Research Council Discovery Early Career Researcher Award. He is on the editorial boards of IEEE Transactions on Services Computing and Theoretical Computer Science.
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Keynote 3:
Dr. Feng Lin (Zhejiang University, China)
Talk title: Security for Cross-modality Acoustic IoT: Attack and Defense
Abstract: Acoustic security is paramount in today's digital era, particularly as device interconnectivity accelerates through the Internet of Things (IoT). By protecting personal and confidential information, it upholds privacy and cultivates trust among users¡ªkey components for the continued evolution and uptake of voice-driven technologies. Expanding beyond traditional acoustic monitoring, cross-modality sensing enables the conversion of data across wireless, electromagnetic, and visual signals into auditory information. In this presentation, we will explore cutting-edge research in cross-modality acoustic security, tackling both offensive and defensive strategies. We will delve into the nuances of speech injection attacks and its defense, wireless side-channel eavesdropping, and multimodal authentication techniques.
Bio: Feng Lin is currently a ¡°Hundred Talents¡± Young Professor with the School of Cyber Science and Technology, College of Computer Science and Technology in Zhejiang University. He was an Assistant Professor with the University of Colorado Denver, USA, and a Research Scientist with the State University of New York (SUNY) at Buffalo, USA. His current research interests include Internet of Things security, smart vehicle security, and AI security. He has published more than 130 research papers in mobile computing and security areas, including Oakland, CCS, Security, NDSS, MobiCom, MobiSys, SenSys, and UbiComp. Dr. Lin was a recipient of the Young Chang Jiang Scholar, ACM SIGSAC China Rising Star Award, Best Paper Awards from ACM MobiSys¡¯20, IEEE Globecom¡¯19, IEEE/ACM CHASE¡¯22, IEEE BHI¡¯17, Best Demo Award from ACM HotMobile¡¯18, and the Best Paper Award Nomination from ACM SenSys¡¯21 and IEEE INFOCOM¡¯21.
Prof. Qiong Huang (South China Agricultural University, China)
Talk title: Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT
Abstract: The cloud-edge collaborative data sharing supporting data confidentiality can be realized by adopting outsourced Attribute-Based Encryption (ABE) schemes. Yet, most existing schemes in such kind of scenarios are facing challenges such as vulnerable terminal devices that are easy to be attacked, lack of flexible authorization management methods for a large number of devices, and lack methods to securely specify on-demand data sharing domains. In this paper, we propose a Domain-specific On-demand Access Control scheme with fully Independent Revocation (DOACIR), which not only realizes a three-layer on-demand data sharing framework for cloud-edge collaborative IoT environments but also allows data uploader to restrict the data sharing domain through a succinct way. The attribute authority and multiple edge servers perform data access authorization collaboratively to improve the data sharing efficiency as well as avoid the key-abuse problem and key-leakage problem. We further extend the scheme to support cross-domain data sharing, namely Cross-Domain DOACIR (CD-DOACIR), by improving the encryption phase allowing data uploader to specify any number of sharing domains while the size of ciphertext remains constant.
Bio: Qiong Huang received his PhD degree from City University of Hong Kong in 2010, and joined South China Agricultural University (SCAU) in 2011. Now he is a professor and the dean of College of Mathematics and Informatics, College of Software Engineering, SCAU. His main research interest is in cryptography, data privacy, blockchain technology and etc. He has been PI of about 20 research grants, and is the receiver of Guangdong Natural Science Foundation for Distinguished Young Scholars. He has published about 200 papers in prestigious international conferences and journals, e.g. ASIACRYPT, PKC, CT-RSA, ESORICS, IEEE TIFS, IEEE TDSC, IEEE TC, IEEE TSC, TCS and etc. He has served as Program Chair of several international conferences, e.g. ProvSec 2021, and as PC member of more than 50 international conferences. He is also the receiver of the Fok Ying Tung Education Foundation Award for College and University Young Scholars, and the ACM Guangzhou Rising Star Award.
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Keynote 2:
Dr. Guomin Yang (Singapore Management University, Singapore)
Talk title: Privacy Enhancing Technologies for IoT and Decentralized Systems: Approaches and Challenges
Abstract: Due to the fast evolving of computer and communications technologies and the increasing demand for user and data privacy, privacy enhancing technologies have gathered a lot of attention and been extensively studied by the cybersecurity community. This talk will review the challenges in building privacy-preserving solutions for IoT and decentralized systems from trust, privacy, usability, and accountability perspectives, followed by some recent proposals aiming to address those challenges. The talk will also discuss some gaps between the theoretical advancements and practical applications of the new technologies.
Bio: Guomin Yang is an Associate Professor & Lee Kong Chian Fellow at the School of Computing and Information Systems, Singapore Management University. He completed PhD in Computer Science from City University of Hong Kong, and then worked at the Temasek Lab, National University of Singapore, and University of Wollongong, before joining SMU in 2022. His research interests are applied cryptography and privacy enhancing technologies. He has published over 180 research papers at highly ranked cybersecurity venues such as Crypto, Asiacrypt, SP, NDSS. In 2015, he received the Australian Research Council Discovery Early Career Researcher Award. He is on the editorial boards of IEEE Transactions on Services Computing and Theoretical Computer Science.
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Keynote 3:
Dr. Feng Lin (Zhejiang University, China)
Talk title: Security for Cross-modality Acoustic IoT: Attack and Defense
Abstract: Acoustic security is paramount in today's digital era, particularly as device interconnectivity accelerates through the Internet of Things (IoT). By protecting personal and confidential information, it upholds privacy and cultivates trust among users¡ªkey components for the continued evolution and uptake of voice-driven technologies. Expanding beyond traditional acoustic monitoring, cross-modality sensing enables the conversion of data across wireless, electromagnetic, and visual signals into auditory information. In this presentation, we will explore cutting-edge research in cross-modality acoustic security, tackling both offensive and defensive strategies. We will delve into the nuances of speech injection attacks and its defense, wireless side-channel eavesdropping, and multimodal authentication techniques.
Bio: Feng Lin is currently a ¡°Hundred Talents¡± Young Professor with the School of Cyber Science and Technology, College of Computer Science and Technology in Zhejiang University. He was an Assistant Professor with the University of Colorado Denver, USA, and a Research Scientist with the State University of New York (SUNY) at Buffalo, USA. His current research interests include Internet of Things security, smart vehicle security, and AI security. He has published more than 130 research papers in mobile computing and security areas, including Oakland, CCS, Security, NDSS, MobiCom, MobiSys, SenSys, and UbiComp. Dr. Lin was a recipient of the Young Chang Jiang Scholar, ACM SIGSAC China Rising Star Award, Best Paper Awards from ACM MobiSys¡¯20, IEEE Globecom¡¯19, IEEE/ACM CHASE¡¯22, IEEE BHI¡¯17, Best Demo Award from ACM HotMobile¡¯18, and the Best Paper Award Nomination from ACM SenSys¡¯21 and IEEE INFOCOM¡¯21.
