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| 1 | Activation of an IL6 Inflammatory Loop Mediates Trastuzumab Resistance in HER2+ Breast Cancer by Expanding the Cancer Stem Cell Population显示文摘 | Hasan Korkaya Gwang-il Kim April Davis Fayaz Malik N. Lynn Henry Suthinee Ithimakin Ahmed A. Quraishi Nader Tawakkol Rosemarie D’Angelo Amanda K. Paulson Susan Chung Tahra Luther Hayley J. Paholak Suling Liu Khaled A. Hassan Qin Zen Shawn G. Clouthier Max | 2012 | Molecular Cell2012，，4： | 1 |
| 2 | Developing Transparent IDS for VANETs Using LIME and SHAP:An Empirical Study显示文摘Vehicular Ad-hoc Networks(VANETs)are mobile ad-hoc networks that use vehicles as nodes to create a wireless network.Whereas VANETs offer many advantages over traditional transportation networks,ensuring security in VANETs remains a significant challenge due to the potential for malicious attacks.This study addresses the critical issue of security in VANETs by introducing an intelligent Intrusion Detection System(IDS)that merges Machine Learning(ML)–based attack detection with Explainable AI(XAI)explanations.This study ML pipeline involves utilizing correlation-based feature selection followed by a Random Forest(RF)classifier that achieves a classification accuracy of 100%for the binary classification task of identifying normal and malicious traffic.An innovative aspect of this study is the incorporation of XAI methodologies,specifically the Local Interpretable Model-agnostic Explanations(LIME)and SHapley Additive exPlanations(SHAP).In addition,this research also considered key features identified by mutual information-based feature selection for the task at hand.The major findings from this study reveal that the XAI-based intrusion detection methods offer distinct insights into feature importance.Key features identified by mutual information,LIME,and SHAP predominantly relate to Transmission Control Protocol(TCP),Hypertext Transfer Protocol(HTTP),Domain Name System(DNS),and Message Queuing Telemetry Transport(MQTT)protocols,highlighting their significance in distinguishing normal and malicious network activity.This XAI approach equips cybersecurity experts with a robust means of identifying and understanding VANET malicious activities,forming a foundation for more effective security countermeasures. | Fayaz Hassan Jianguo Yu Zafi Sherhan Syed Arif Hussain Magsi Nadeem Ahmed | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 3 | Improved Sequencing Heuristic DSDV Protocol Using Nomadic Mobility Model for FANETS显示文摘Most interesting area is the growing demand of flying-IoT mergers with smart cities.However,aerial vehicles,especially unmanned aerial vehicles(UAVs),have limited capabilities for maintaining node energy efficiency.In order to communicate effectively,IoT is a key element for smart cities.While improving network performance,routing protocols can be deployed in flying-IoT to improve latency,packet drop rate,packet delivery,power utilization,and average-end-to-end delay.Furthermore,in literature,proposed techniques are verymuch complex which cannot be easily implemented in realworld applications.This issue leads to the development of lightweight energyefficient routing in flying-IoT networks.This paper addresses the energy conservation problem in flying-IoT.This paper presents a novel approach for the internet of flying vehicles using DSDV routing.ISH-DSDV gives the notion of bellman-ford algorithm consisting of routing updates,information broadcasting,and stale method.DSDV shows optimal results in comparison with other contemporary routing protocols.Nomadic mobility model is utilized in the scenario of flying networks to check the performance of routing protocols. | Inam Ullah Khan Muhammad Abul Hassan Muhammad Fayaz Jeonghwan Gwak Muhammad Adnan Aziz | 2022 | Computers, Materials & Continua2022，，2： | 0 |
| 4 | Secure and Reliable Routing in the Internet of Vehicles Network:AODV-RL with BHA Attack Defense显示文摘Wireless technology is transforming the future of transportation through the development of the Internet of Vehicles(IoV).However,intricate security challenges are intertwinedwith technological progress:Vehicular ad hoc Networks(VANETs),a core component of IoV,face security issues,particularly the Black Hole Attack(BHA).This malicious attack disrupts the seamless flow of data and threatens the network’s overall reliability;also,BHA strategically disrupts communication pathways by dropping data packets from legitimate nodes altogether.Recognizing the importance of this challenge,we have introduced a new solution called ad hoc On-Demand Distance Vector-Reputation-based mechanism Local Outlier Factor(AODV-RL).The significance of AODVRL lies in its unique approach:it verifies and confirms the trustworthiness of network components,providing robust protection against BHA.An additional safety layer is established by implementing the Local Outlier Factor(LOF),which detects and addresses abnormal network behaviors.Rigorous testing of our solution has revealed its remarkable ability to enhance communication in VANETs.Specifically,Our experimental results achieve message delivery ratios of up to 94.25%andminimal packet loss ratios of just 0.297%.Based on our experimental results,the proposedmechanismsignificantly improves VANET communication reliability and security.These results promise a more secure and dependable future for IoV,capable of transforming transportation safety and efficiency. | Nadeem Ahmed Khalid Mohammadani Ali Kashif Bashir Marwan Omar Angel Jones Fayaz Hassan | 2024 | Computer Modeling in Engineering & Sciences2024，139，4： | 0 |
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