AquaSonic: Acoustic Manipulation of Underwater Data Center Operations and Resource Management
Jennifer Sheldon, Weidong Zhu, Adnan Abdullah, Sri Hrushikesh Varma Bhupathiraju, Takeshi Sugawara, Kevin R. B. Butler, Md Jahidul Islam, Sara Rampazzi
Abstract
Underwater data centers (UDCs) hold promise as next-generation data storage due to their energy efficiency and environmental sustainability benefits. While the natural cooling properties of water save power, the isolated aquatic environment and long-range sound propagation characteristics in water create unique vulnerabilities which differ from those of on-land data centers. Our research discovers the unique vulnerabilities of fault-tolerant storage devices, resource allocation software, and distributed file systems to acoustic injection attacks in UDCs. With a realistic testbed approximating UDC server operations, we empirically characterize the capabilities of acoustic injection underwater and find that an attacker can reduce fault-tolerant RAID 5 storage system throughput by 17% up to 100%. Our closed-water analyses reveal that an attacker can (i) cause unresponsiveness and automatic node removal in a distributed filesystem with only 2.4 minutes of sustained acoustic injection, (ii) induce a distributed database’s latency to increase by up to 92.7% to reduce system reliability, and (iii) induce load-balance managers to redirect up to 74% of resources to a target server to cause overload or force resource colocation. Furthermore, we perform open-water experiments in a lake and find that an attacker can cause controlled throughput degradation at the maximum allowable distance of 6.35 m using a commercial speaker. We also investigate and discuss the effectiveness of standard defenses against acoustic injection attacks. Finally, we formulate a novel machine learning-based detection system that reaches 0% False Positive Rate and 98.2% True Positive Rate trained on our dataset of profiled hard disk drives under 30-second FIO benchmark execution. With this work, we aim to help manufacturers proactively protect UDCs against acoustic injection attacks and ensure the security of subsea computing infrastructures.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Builds on17
- DolphinAttack: Inaudible Voice CommandsGuoming Zhang, Chen Yan, Xiaoyu Ji, Tianchen Zhang et al.CCS 2017 · 753 citations
- Injected and Delivered: Fabricating Implicit Control over Actuation Systems by Spoofing Inertial SensorsYazhou Tu, Zhiqiang Lin, Insup Lee, Xiali HeiUSENIX Security 2018 · 132 citations
- Poltergeist: Acoustic Adversarial Machine Learning against Cameras and Computer VisionXiaoyu Ji, Yushi Cheng, Yuepeng Zhang, Kai Wang et al.S&P 2021 · 99 citations
- LinnOS: Predictability on Unpredictable Flash Storage with a Light Neural NetworkMingzhe Hao, Levent Toksoz, Nanqinqin Li, Edward Edberg Halim et al.OSDI 2020 · 97 citations
- Exploiting Combined Locality for Wide-Stripe Erasure Coding in Distributed StorageYuchong Hu, Liangfeng Cheng, Qiaori Yao, Patrick P. C. Lee et al.FAST 2021 · 88 citations
Related papers
- Synergetic Denial-of-Service Attacks and Defense in Underwater Named Data NetworkingYue Li, Yingjian Liu, Yu Wang, Zhongwen Guo et al.INFOCOM 2020 · 10 citations
- AquaKey: Exploiting the Randomness of the Underwater Visible Light Communication Channel for Key ExtractionLupeng Zhang, Pingchuan Wang, Minhao Cui, Jingwen Wei et al.UbiComp 2024 · 6 citations
- Un-Rocking Drones: Foundations of Acoustic Injection Attacks and Recovery ThereofJinseob Jeong, Dongkwan Kim, Joon-Ha Jang, Juhwan Noh et al.NDSS 2023
- SurfingAttack: Interactive Hidden Attack on Voice Assistants Using Ultrasonic Guided WavesQiben Yan, Kehai Liu, Qin Zhou, Hanqing Guo et al.NDSS 2020
- Enabling Long-Range Underwater Backscatter via Van Atta Acoustic NetworksAline Eid, Jack Rademacher, Waleed Akbar, Purui Wang et al.SIGCOMM 2023 · 36 citations
