Multivariate Statistical Approach for Anomaly Detection and Lost Data Recovery in Wireless Sensor Networks by Roberto Magán-Carrión, José Camacho, Pedro García-Teodoro

“…The present paper introduces a novel data loss/modification detection and recovery scheme in this context. Both elements, detection and data recovery, rely on a multivariate statistical analysis approach that exploits spatial density, a common feature in network environments such as WSNs. …”
Get full text

GDSN-CD: Graph-Guided Diffusion Synergistic Network for Remote Sensing Change Detection by Yunfei Zhu, Jintao Song, Jinjiang Li

“…Remote sensing change detection often faces the challenge of accurately capturing discontinuous change features in complex scenes. …”
Get full text

A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media by Amir Jalaly Bidgoly, Zolikha Rahmanian, Abbas Dehghani

“…This paper proposes a novel multi-layer graph-based method that represents reviews, reviewers, and products as interconnected nodes. This approach captures the complex relationships among them and addresses adversarial attempts to manipulate the detection process. …”
Get full text

Online Banking Fraud Detection Model: Decentralized Machine Learning Framework to Enhance Effectiveness and Compliance with Data Privacy Regulations by Hisham AbouGrad, Lakshmi Sankuru

“…The research methodology applied robust preprocessing, the implementation of a compact autoencoder architecture, and a threshold-based anomaly detection strategy. Evaluation metrics, such as confusion matrices, receiver operating characteristic (ROC) curves, precision–recall (PR) curves, and reconstruction error distributions, are used to assess the model’s performance. …”
Get full text

Towards saturation attack detection in SDN: a multi-edge representation learning-based method by Zhangli Ji, Yunhe Cui, Yinyan Guo, Guowei Shen, Yi Chen, Chun Guo

“…The proposed method includes a novel graph construction strategy that generates Multi-edge Communication Flow Graphs (MCF-Graphs), and an edge representation learning model, Node-Edge Relationship GraphSAGE (NER-SAGE), for detecting saturation attack flows. …”
Get full text

Data poisoning attack detection approach for quality of service aware cloud API recommender system by Zhen CHEN, Wenchao QI, Taiyu BAO, Limin SHEN

“…To solve the problem that existing studies usually assumed that the QoS data of cloud API recommender system was reliable, ignoring the data poisoning attack on cloud API recommender system by malicious users in open network environment, a data poisoning attack detection approach based on multi-feature fusion was proposed.Firstly, a user connected network graph was constructed based on the designed similarity function, and users’ neighborhood features were captured using Node2vec.Secondly, sparse auto-encoder was used to mine user QoS deep feature, and user interpretation feature based on QoS data weighted average deviation was designed.Furthermore, a fake user detection model based on support vector machine was established by integrating user neighborhood feature, QoS deep feature, and interpretation feature, the model parameters were learned using grid search and alternating iterative optimization strategy to complete fake user detection.Finally, the effectiveness and superiority of the proposed approach were verified through extensive experiments, realizing the poison attack defense against QoS aware cloud API recommender system at the data side.…”
Get full text

Deployment cost minimization for composite event detection in large-scale heterogeneous wireless sensor networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…How to use as few sensor nodes as possible to detect composite event in large area is a difficult problem because multiple heterogeneous sensor nodes are required for detecting the composite event which consists of several atomic events, and the detection accuracy would be worse if there are no enough sensor nodes. …”
Get full text

Modeling and Simulation of Abnormal Behavior Detection Through History Trajectory Monitoring in Wireless Sensor Networks by Jung Sub Ahn, Tae Ho Cho

“…By recognizing abnormal correlations, the proposed method prevents the inflow of false data generated as a result of widespread damage. Furthermore, a new strategy is proposed to maximize the lifetime of the network by blocking any compromised nodes. …”
Get full text

Tumor characteristics and survival rate of axillary metastatic breast cancer patients: a three decades retrospective cohort study by Seyed Mohamad Sadegh Mousavi-kiasary, Mahdis Bayat, Fereshteh Abbasvandi, Batoul Khoundabi, Fatemeh Mousavi, Atieh Akbari, Maryam Bagherian, Afsoon Zandi, Behnam Honarvar, Mohammad Esmaeil Akbari

“…Conclusion: The axillary lymph node status has been considered as one of the fundamental factors determining the therapeutic strategy and prognosis of BC patients, which has an association with tumor characteristics. …”
Get full text

Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering by Zhengjiang Wu, Xuyang Wu, Junwei Luo

“…In SpaRC, sequences are defined as nodes and clustered by a parallel label propagation algorithm (LPA). …”
Get full text

Dynamic Sensor-Based Data Management Optimization Strategy of Edge Artificial Intelligence Model for Intelligent Transportation System by Nu Wen, Ying Zhou, Yang Wang, Ye Zheng, Yong Fan, Yang Liu, Yankun Wang, Minmin Li

“…By doing so, it meets the real-time computing requirements of intelligent transportation business applications. By adopting node and sensor management mechanisms as well as efficient communication protocols, dynamic sensor-based data management of AI algorithm models was achieved, such as pedestrian object recognition, vehicle object detection, and ship object positioning. …”
Get full text

TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach by Mirza Akhi, Ciaran Eising, Lubna Luxmi Dhirani

“…A dynamic threshold strategy also provides adaptive security by averaging detected malicious behavior messages across all nodes to determine the base threshold. …”
Get full text

Decentralized Detection and Mitigation of False Data Injection Attacks in DC Microgrids Using Artificial Neural Network by Omid Danaei Koik, Shahram Karimi, Khaled M. Almustafa, Juliano Katrib

“…In this framework, the MLP neural networks are trained offline using local data under various conditions and are subsequently deployed online within the distributed generator units for fault detection and mitigation. Resilience is achieved through a pinning-node consensus-based secondary control strategy, which enables attack detection via MLP on other units regardless of whether all units are pinned. …”
Get full text

SIGKD: A Structured Instance Graph Distillation Method for Efficient Object Detection in Remote Sensing Images by Fangzhou Liu, Wenzhe Zhao, Haoxiang Qi, Guangyao Zhou

“…Through carefully calibrated weights, this strategy effectively extracts and integrates background information, thereby minimizing noise interference in detection results and augmenting the expressive capacity of foreground features. …”
Get full text

Relapse detection in the Danish surveillance program of patients with clinical stage I seminoma: a nationwide study by Niklas B. Lindahl, Jakob Lauritsen, Thomas Wagner, Gedske Daugaard, Mikkel Bandak

“…Background and purpose: Active surveillance is a recommended management strategy for patients with clinical stage I (CSI) seminoma. …”
Get full text

The scRNA-sequencing landscape of pancreatic ductal adenocarcinoma revealed distinct cell populations associated with tumor initiation and progression by Ying Wang, Zhouliang Bian, Lichao Xu, Guangye Du, Zihao Qi, Yanjie Zhang, Jiang Long, Wentao Li

“…As a result, our study provides valuable insights for early detection of PDAC and promising therapeutic targets for combatting lymph node metastasis.…”
Get full text

Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network by Kunxian Yan, Xiangyu Luo, Lei Ye, Wenping Geng, Jian He, Jiliang Mu, Xiaojuan Hou, Xiang Zan, Jiuhong Ma, Fei Li, Le Zhang, Xiujian Chou

“…The multi-head attention mechanism and dynamic graph generation strategy effectively resolve the temporal variability of functional connectivity. …”
Get full text

Fibrolamellar hepatocellular carcinoma: a case report and gene analysis by Akira Watanabe, Norifumi Harimoto, Hideyuki Saito, Reika Kawabata-Iwakawa, Takaomi Seki, Ryo Muranushi, Kouki Hoshino, Kei Hagiwara, Norihiro Ishii, Mariko Tsukagoshi, Takamichi Igarashi, Kenichiro Araki, Hayato Ikota, Takashi Ishige, Koshi Mimori, Ken Shirabe

Get full text

ESfix: An Embedded Program Repair Tool for Effective Removal of Concurrency Defects by Jingwen Zhao, Yanxia Wu, Yan Fu, Shuyong Liu

“…ESfix first utilizes the bug information reported by the defect detection tool to locate the repair region and extracts the node information corresponding to the defective code. …”
Get full text

Synchronous Primary Malignancies: Incidental Detection of Ascending Colon Adenocarcinoma During Staging of Invasive Ductal Carcinoma of the Breast by Salif Balde, Ulrich Igor Mbessoh Kengne, Jaafar Ibn Abou Talib Thiam, Joël Gabin Konlack Mekontso, Sokhna Diop Niang, Amacoumba Fall, Mamadou Ndiaye, Gorgui Sarr, Etienne Tossou Zoure, Mamadou Sow, Sidy Ka

Get full text