Term

Sandworm

別名: 第74455部隊

Overview

ロシア連邦軍参謀本部情報総局(GRU)の第74455部隊に所属するとされる国家支援型のハッカー集団。2015年のウクライナ大規模停電、2017年のNotPetya攻撃、2022年のViasat攻撃など、重要インフラを標的とした破壊的なサイバー作戦を専門とする。

Research Papers

5 件
  • Sandworm: a new era of cyberwar and the hunt for the Kremlin’s most dangerous hackers

    Florian J. Egloff, M. Smeets

    2020 75 件引用 Semantic Scholar

    Andy Greenberg is a rightly adored technology writer. His extensive reporting on some of the most important issues in privacy and cybersecurity lends him great credibility to write on ‘Russia's rec...

  • Synergetic effects of in-plane and interlayer dual regulation on sandworm-like graphitic carbon nitride for high-efficiency photocatalytic performance

    Yichi Zhang, Guangyu Wu, Fukang Feng, Changyao Gao, Xinjie Jin, Xiaoyu Zhang, Weinan Xing

    2024 10 件引用 Semantic Scholar
  • Determination of perfluoroalkyl acids in seawater and sandworm samples by high-performance liquid chromatography-tandem mass spectrometry

    J. Sevilla-Nastor, T. Sakurai, M. J. Mozo, J. Villanueva

    2021 2 件引用 Semantic Scholar
  • Janibacter alittae sp. nov., an actinobacterium isolated from the gut of marine sandworm (Alitta virens).

    Bora Kim, M. O. Jun, Ah-In Yang, Sung-Hong Joe, H. Joe, Hojun Sung, Ki Hyun Kim, Hyun Jung Kim, Na-Ri Shin

    2024 1 件引用 Semantic Scholar

    A novel Gram-stain-positive, facultatively anaerobic, non-motile, catalase-positive, oxidase-negative and ovoid cocci, designated as A1S7T, was isolated from the gut of a marine sandworm (Alitta virens). Strain A1S7T exhibited optimal growth at temperatures of 20-30 ℃, pH 6-8 and in the presence of 2-4% (w/v) NaCl. Phylogenetic analysis based on the 16S rRNA gene sequence indicated that strain A1S7T belonged to the genus Janibacter, exhibiting a similarity of 99.0% to Janibacter cremeus KCTC 49873T, followed by Janibacter anophelis KCTC 19282T (98.8%), Janibacter hoylei KCTC 49872T (98.4%), Janibacter limosus KACC 20518T (98.2%) and Janibacter corallicola KACC 21120T (97.2%). The complete genome sequence of strain A1S7T revealed a genome size of 3360920 bp with a genomic G+C content of 70.1 mol%. The orthologous average nucleotide identity and the digital DNA-DNA hybridization values between strain A1S7T and Janibacter cremeus KCTC 49873T were determined to be 89.5 and 37.2%, respectively. The major respiratory quinone was MK-8(H4). The predominant fatty acids (>10%) included iso-C16:0, C17:1  ω8c, C18:1  ω9c and C17:0. Polar lipids comprised diphosphatidylglycerol, phosphatidylglycerol, phosphatidylinositol, one unknown phosphoglycolipid and three unknown polar lipids. The cell-wall peptidoglycan type was A1γ. The major whole-cell sugars were ribose, mannose and glucose. Based on phenotypic, phylogenetic, genotypic and chemotaxonomic properties, strain A1S7T represents a novel species in the genus Janibacter, for which the name Janibacter alittae sp. nov. is proposed. The type strain is A1S7T (=KCTC 49714T = JCM 36706T).

  • SandWorm: Event-Based Visuotactile Perception With Active Vibration for Screw-Actuated Robot in Granular Media

    Shoujie Li, Changqing Guo, Junhao Gong, Chenxin Liang, Wenhua Ding, Wenbo Ding

    2026 1 件引用 Semantic Scholar

    Perception in granular media remains challenging due to unpredictable particle dynamics. To address this challenge, we present SandWorm, a biomimetic screwactuated robot augmented by peristaltic motion to enhance locomotion, and sandworm tactile sensor (SWTac), a novel event-based visuotactile sensor with an actively vibrated elastomer. The event camera is mechanically decoupled from vibrations by a spring isolation mechanism, enabling high-quality tactile imaging of both dynamic and stationary objects. For algorithm design, we propose an IMU-guided temporal filter to enhance imaging consistency, improving masked signal-to-noise ratio (MSNR) by 24%. Moreover, we systematically optimize SWTac with vibration parameters, event camera settings, and elastomer properties. Motivated by asymmetric edge features, we also implement contact surface estimation by U-Net. Experimental validation demonstrates SWTac’s 0.2 mm texture resolution, 98% stone classification accuracy, and 0.15 N force estimation error, while SandWorm demonstrates versatile locomotion (up to 12.5 mm/s) in challenging terrains, successfully executes pipeline dredging and subsurface exploration in complex granular media (observed 90% success rate). Field experiments further confirm the system’s practical performance.

Mentioned Articles

1 件

External Mentions

10 件