Demo Data from EDBT 2026 / reviewers in the wild / expert
Fangjie Jiang
dblp:225/7888
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2024
0000-0002-2598-876XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 3 · 2 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Hardware security and side channels · 75% Systems and software security · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels › side-channel attack
cache side-channel attacks |
0.8 | 1 | 2024 | ZeroShield: Transparently Mitigating Code Page Sharing Attacks With Zero-Cost Stand-By · IEEE Trans. Inf. Forensics Secur. 2024 |
Hardware security and side channels
side-channel attack |
0.8 | 1 | 2024 | ZeroShield: Transparently Mitigating Code Page Sharing Attacks With Zero-Cost Stand-By · IEEE Trans. Inf. Forensics Secur. 2024 |
Hardware security and side channels
trusted execution environments |
0.8 | 1 | 2024 | ZeroShield: Transparently Mitigating Code Page Sharing Attacks With Zero-Cost Stand-By · IEEE Trans. Inf. Forensics Secur. 2024 |
Systems and software security
virtualization security |
0.8 | 1 | 2024 | ZeroShield: Transparently Mitigating Code Page Sharing Attacks With Zero-Cost Stand-By · IEEE Trans. Inf. Forensics Secur. 2024 |
Methods — techniques the papers use, named apart from their topics
hypervisor-level monitoring · 0.8extended page table · 0.8CR3 register · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | ZeroShield: Transparently Mitigating Code Page Sharing Attacks With Zero-Cost Stand-ByabstractNumerous cache side-channel attack techniques enable attackers to execute a cross-VM cache side-channel attack through the sharing of code pages with the targeted victim. Nonetheless, most prior defense solutions fall short of efficiency and ease of deployment, thus restricting their practicality for real-world implementation. This paper introduces ZeroShield, an adaptive and transparent approach implemented at the hypervisor layer, designed to counteract the code page sharing attack, a subset of cache side-channel attacks, occurring within a single virtual machine (VM) or spanning across multiple VMs. By thoroughly scrutinizing the “by-products” resulting from a code page sharing attack, we meticulously track the attacker’s access to security-sensitive code pages. This is achieved through harnessing hardware virtualization features, such as the Intel extended page table, in conjunction with the CR3 register. Utilizing this information, ZeroShield continuously monitors security-sensitive code pages, adeptly navigating complex OS and hypervisor behaviors. The architecture of ZeroShield exhibits an attack-aware design, enabling it to deploy protection measures on demand. Consequently, the system theoretically experiences negligible overhead in the absence of attackers. Empirical evidence confirms the effectiveness of ZeroShield in thwarting code page sharing attacks. It achieves this without imposing any performance penalties in the absence of attackers, and with a minimal overhead of less than 3.8% when attackers are active. Significantly, ZeroShield boasts a cost-free standby state and necessitates no adjustments to upper applications, guest OS, or hardware configurations. This attribute positions ZeroShield as an optimal default solution in real-world cloud environments to effectively counter code page sharing attacks. Fangyu Zheng, Jingqiang Lin 0001, Fangjie Jiang |
IEEE Trans. Inf. Forensics Secur. | 4 |
| 2019 | TF-BIV: transparent and fine-grained binary integrity verification in the cloudabstractWith the emergence of virtualization technologies, various services have been migrated to the cloud. Beyond the tenants' own security controls implemented in the virtual machine (VM), the binary integrity verification mechanism in the virtual machine manager (VMM) provides stronger protections against malware. Unfortunately, none of existing integrity verification mechanisms in the cloud provides complete transparency and fine-grained efficiency. Some schemes selectively check the integrity of sensitive binaries, but they require modifications to the VMs (e.g., integrating monitoring libraries) to trigger verification. Others, although need no modification to the VMs, have to enforce checking on all the binaries, because they cannot distinguish binary images for the sensitive processes from the binaries for insensitive ones, leading to significant performance overheads. In this paper, we present TF-BIV, a transparent and fine-grained binary integrity verification scheme, which does not require any modification or software/driver installation in the VM. TF-BIV identifies the sensitive processes at the creation, and checks the integrity of the binaries (including the guest OS kernel and the dependant binaries) related to these processes. The provided transparency and efficiency are achieved by leveraging existing hardware virtualization supports (i.e., Intel extended page table) and debugging features (i.e., monitor trap flag). We have implemented the TF-BIV prototype based on QEMU-KVM. To demonstrate the usability of TF-BIV, we adopted it for cloud-based cryptographic services, to achieve the strict invoking controls. In addition to the password-based authentication, TF-BIV further achieves process-level authorization to the invokers. Intensive evaluation shows that TF-BIV implements the designed binary integrity verification with only about 3.6% performance overhead. Fangjie Jiang, Quanwei Cai 0001, Jingqiang Lin 0001, Bo Luo, Le Guan, Ziqiang Ma |
ACSAC | 1 |
| 2018 | Enforcing Access Controls for the Cryptographic Cloud Service Invocation Based on Virtual Machine Introspection
Fangjie Jiang, Quanwei Cai 0001, Le Guan, Jingqiang Lin 0001 |
ISC | 1 |