Results 61 to 70 of about 84,163 (293)

Selective Packet Dropping Attacks to BESS-integrated Smart Grids [PDF]

, 2023
Yongdong Wu, Xin Li, Zhiquan Liu, Jilian Zhang, Kaimin Wei, B.-S. P. Lin   +5 more
openalex   +1 more source

Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam, Ali Laith, Aslihan Gunel, Melda Yilmaz, Nazli Basak, Halil Idrisoglu, P. Hande Ozdinler   +6 more
wiley   +1 more source

Combating False Reports for Secure Networked Control in Smart Grid via Trustiness Evaluation

, 2010
Smart grid, equipped with modern communication infrastructures, is subject to possible cyber attacks. Particularly, false report attacks which replace the sensor reports with fraud ones may cause the instability of the whole power grid or even result in ...
Djouadi, Seddik M., Lai, Lifeng, Li, Husheng   +2 more
core   +1 more source

Enhanced Chaotic Map Based Key Agreement to Mitigate Packet Dropping Attack from MANETs [PDF]

, 2023
Syed Abdul Syed S, C. Atheeq, Abdul Azeez Khan A, K. Javubar Sathick, Syed Mohamed E, C. Altaf   +5 more
openalex   +1 more source

Enhancing DDoS Attack Detection and Network Resilience Through Ensemble-Based Packet Processing and Bandwidth Optimization

International Research Journal on Advanced Engineering Hub (IRJAEH)
It is critical to identify Distributed Denial of Service (DDoS) attacks to preserve network integrity and guarantee continuous service delivery. Our research suggests a novel way to lower the network's packet drop ratio and improve the accuracy of DDoS ...
Amit Dogra, Taqdir
semanticscholar   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

Security and Privacy Issues in Wireless Mesh Networks: A Survey

, 2013
This book chapter identifies various security threats in wireless mesh network (WMN). Keeping in mind the critical requirement of security and user privacy in WMNs, this chapter provides a comprehensive overview of various possible attacks on different ...
A. Gupta, A. Mishra, A. Naveed, A. Perrig, A. Shamir, A.A. Franklin, A.D. Wood, B. He, B. Wu, C. Blundo, C. Gentry, C. Li, C. Tang, D. Boneh, D. Boneh, D. Boneh, D. Chaum, D. Joshi, D.S. Radosavac, E. Shi, E.W. Dijkstra, G. Ateniese, G. Gaubatz, H. Li, H. Moustafa, H. Zhu, I. Lee, I.F. Akyildiz, J. Konorski, J. Konorski, J. Leu, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sen, J. Sun, K. Ren, K. Ren, L. Lamport, L. Zhou, M. Long, M. Raya, M. Reed, M.G. Zapata, N. Ben Salem, N. Ben Salem, N.R. Prasad, R. Ahlswede, R. Blom, R. Curtmola, S. Brands, S. Capkun, S. Zhong, S. Zhu, S..M.. M. Rahman, S.J. Lee, T.M. Chen, W. Diffie, X. Chen, X. Chen, X. Lin, Y. Zhang, Y. Zhang, Y.G. Desmedt, Z. Cao, Z. Li   +73 more
core   +1 more source

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Information Technology and Control, 2020
The Mobile ad-hoc networks are auto configured systems where hubs can travel towards any direction. It doesn’t rely on any other frame to build the framework. Because of its versatility, the black hole is a real security issue to be settled.
Dost Muhammad Khan, Talal Aslam, Nadeem Akhtar, S. Qadri, Imran Mujaddid Rabbani, A. Muhammad   +5 more
semanticscholar   +1 more source

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

Arthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source