Using deep learning for detecting BotCloud by Guang KOU, Guang-ming TANG, Shuo WANG, Hai-tao SONG, Yuan BIAN

“…The differences of the basic network flow characteristics between BotCloud and normal cloud services were not obvious, and this led to the inefficiency of the method in BotCloud detection based on network flow characteristics analysis. …”
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Multi-Granularity User Anomalous Behavior Detection by Wenying Feng, Yu Cao, Yilu Chen, Ye Wang, Ning Hu, Yan Jia, Zhaoquan Gu

Subjects: “…insider threat detection…”
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Modelling Oil-Spill Detection with Swarm Drones by F. Aznar, M. Sempere, M. Pujol, R. Rizo, M. J. Pujol

“…One of them is the detection and monitoring of pollutants to delimit their perimeter and area accurately. …”
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Tumor detection on bronchoscopic images by unsupervised learning by Qingqing Liu, Haoliang Zheng, Zhiwei Jia, Zhihui Shi

“…To address this issue, a datasets for intratracheal tumor detection has been constructed to simulate the diagnostic level of experienced specialists, and a Knowledge Distillation-based Memory Feature Unsupervised Anomaly Detection (KD-MFAD) model was proposed to learn from this simulated experience. …”
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Advanced Imaging Modalities in the Detection of Cerebral Vasospasm by Jena N. Mills, Vivek Mehta, Jonathan Russin, Arun P. Amar, Anandh Rajamohan, William J. Mack

“…Advances in imaging have provided clinicians with a multifaceted approach to assist in the detection of cerebral vasospasm and the diagnosis of delayed ischemic neurologic deficits (DIND). …”
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Refined feature enhancement network for object detection by Zonghui Li, Yongsheng Dong

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Probe into Quality Detection of Cement Agitation Pile by FU Wen-tong, WANG Shao-biao, XIE Meng

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Motion detection for patient safety in CT scanner by Zaynab Boujelb, Ahmed Idrissi, Achraf Benba, El Mahjoub Chakir

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Integrated artificial immune system for intrusion detection by Yue-bing CHEN, Chao FENG, Quan ZHANG, Chao-jing TANG

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SVDD: SAR Vehicle Dataset Construction and Detection by Dan Gao, Xiaofang Wu, Zhijin Wen, Yue Xu, Zhengchao Chen

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Channeled Polarimetry for Magnetic Field/Current Detection by Georgi Dyankov, Petar Kolev, Tinko A. Eftimov, Evdokiya O. Hikova, Hristo Kisov

“…It is shown that in contrast to other methods, this method allows the detection of the phase shift caused by Faraday rotation alone, making the detection independent of temperature. …”
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Could electrodermal activity detect emotions soon? by Aldosky Haval Y. Y., Bari Dindar S.

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Floer homology and non-fibered knot detection by John A. Baldwin, Steven Sivek

“…We prove for the first time that knot Floer homology and Khovanov homology can detect non-fibered knots and that HOMFLY homology detects infinitely many knots; these theories were previously known to detect a mere six knots, all fibered. …”
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Hardware Trojans detection based on projection pursuit by Peng ZHANG, Xin-cheng WANG, Qing ZHOU

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Survey of software anomaly detection based on deception by Jianming FU, Chang LIU, Mengfei XIE, Chenke LUO

“…Advanced persistent threats (APT) will use vulnerabilities to automatically load attack code and hide attack behavior, and exploits code reuse to bypass the non-executable stack ＆amp; heap protection, which is an essential threat to network security.Traditional control flow integrity and address space randomization technologies have effectively prevented the pace of APT.However, the complexity of the software and the evolution of attacks make the software still being vulnerable.For this reason, deception defense with resources as bait is an indispensable supplement for network security.The trapping mechanism consists of bait design and attack detection, which infer possible unauthorized access or malicious attacks by sensing the interaction behavior with the bait.According to the three types of bait, which are file, data and code, the automatic construction scheme of bait is designed and deployed, and the effectiveness of bait is measured from the aspects of believability, detectability and enticement, etc.Ransom ware detection based on deception defense focuses on the deployment location of bait files, and in the area of vulnerability detection, code reuse attacks are detected by injecting bait code.Research work related to the implementation of deception defense in each phase of APT attacks was introduced, and the mechanism of deception defense from bait type, bait generation, bait deployment, and bait measurement was described.Simultaneously, deception defense applications in ransom ware detection, vulnerability detection, and Web security were analyzed.In response to the shortcomings of existing ransom ware detection research in terms of bait file design and deployment, a dynamic update method of bait for ransom ware detection was proposed.The deception defense challenges were discussed and hoped that deception defense can provide theoretical and technical support for discovering unknown attacks and attack attribution.…”
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Detection of circular permutations by Protein Language Models by Yue Hu, Bin Huang, Chun Zi Zang, Jia Jie Xu

“…Protein circular permutations are crucial for understanding protein evolution and functionality. Traditional detection methods face challenges: sequence-based approaches struggle with detecting distant homologs, while structure-based approaches are limited by the need for structure generation and often treat proteins as rigid bodies. …”
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Survey on adversarial attacks and defenses for object detection by Xinxin WANG, Jing CHEN, Kun HE, Zijun ZHANG, Ruiying DU, Qiao LI, Jisi SHE

Subjects: “…object detection…”
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Detection of Bacterial Endospores in Soil by Terbium Fluorescence by Andrea Brandes Ammann, Linda Kölle, Helmut Brandl

“…Our study might provide a basis for the detection of “hot spots” of bacterial spores in soil.…”
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Intrusion detection method for IoT in heterogeneous environment by LIU Jing, MU Zelin, LAI Yingxu

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Design of Unmanned Vehicle System for Disaster Detection by Ming-Chih Chen, Chien-Hsing Chen, Ming-Sheng Huang, Jheng-Yu Ciou, Guo-Tai Zhang

“…The vehicle system is capable of detecting a variety of gases by the sensors deployed on it. …”
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