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| 1 | Cerebral venous system anatomy显示文摘 | Haq TU Rafique MZ | 2006 | J Pak Med Assoc2006，56，： | 1 |
| 2 | Effect of soil salinity on the concentration of Na +,K + and Cl-in the leaf sap of the four Brassica species显示文摘 | Haq TU Akhtar J Haq AU | | 0，，： | 1 |
| 3 | Atypical focal nodular hyperplasia of the liver显示文摘 | Khan MR Saleem T Haq TU et at | 2011 | Hepatobiliary Pancreat Dis Int2011，10，1： | 1 |
| 4 | The effect of pre-anaesthetic fasting on blood glucose level in children undergoing surgery显示文摘 | Zahoorullah Haq TU | 1990 | Pak Med Assoc1990，40，10： | 1 |
| 5 | Cerebral venous system anatomy显示文摘 | Uddin MA Haq TU Rafique MZ | 2006 | J Pak Med Assoc2006，56，： | 1 |
| 6 | Authentication of Vehicles and Road Side Units in Intelligent Transportation System显示文摘Security threats to smart and autonomous vehicles cause potential consequences such as traffic accidents,economically damaging traffic jams,hijacking,motivating to wrong routes,and financial losses for businesses and governments.Smart and autonomous vehicles are connected wirelessly,which are more attracted for attackers due to the open nature of wireless communication.One of the problems is the rogue attack,in which the attacker pretends to be a legitimate user or access point by utilizing fake identity.To figure out the problem of a rogue attack,we propose a reinforcement learning algorithm to identify rogue nodes by exploiting the channel state information of the communication link.We consider the communication link between vehicle-to-vehicle,and vehicle-to-infrastructure.We evaluate the performance of our proposed technique by measuring the rogue attack probability,false alarm rate(FAR),mis-detection rate(MDR),and utility function of a receiver based on the test threshold values of reinforcement learning algorithm.The results show that the FAR and MDR are decreased significantly by selecting an appropriate threshold value in order to improve the receiver’s utility. | Muhammad Waqas Shanshan Tu Sadaqat Ur Rehman Zahid Halim Sajid Anwar Ghulam Abbas Ziaul Haq Abbas Obaid Ur Rehman | 2020 | Computers, Materials & Continua2020，，7： | 0 |
| 7 | Physical Layer Authentication Using Ensemble Learning Technique in Wireless Communications显示文摘Cyber-physical wireless systems have surfaced as an important data communication and networking research area.It is an emerging discipline that allows effective monitoring and efficient real-time communication between the cyber and physical worlds by embedding computer software and integrating communication and networking technologies.Due to their high reliability,sensitivity and connectivity,their security requirements are more comparable to the Internet as they are prone to various security threats such as eavesdropping,spoofing,botnets,man-in-the-middle attack,denial of service(DoS)and distributed denial of service(DDoS)and impersonation.Existing methods use physical layer authentication(PLA),themost promising solution to detect cyber-attacks.Still,the cyber-physical systems(CPS)have relatively large computational requirements and require more communication resources,thus making it impossible to achieve a low latency target.These methods perform well but only in stationary scenarios.We have extracted the relevant features from the channel matrices using discrete wavelet transformation to improve the computational time required for data processing by considering mobile scenarios.The features are fed to ensemble learning algorithms,such as AdaBoost,LogitBoost and Gentle Boost,to classify data.The authentication of the received signal is considered a binary classification problem.The transmitted data is labeled as legitimate information,and spoofing data is illegitimate information.Therefore,this paper proposes a threshold-free PLA approach that uses machine learning algorithms to protect critical data from spoofing attacks.It detects the malicious data packets in stationary scenarios and detects them with high accuracy when receivers are mobile.The proposed model achieves better performance than the existing approaches in terms of accuracy and computational time by decreasing the processing time. | Muhammad Waqas Shehr Bano Fatima Hassan Shanshan Tu Ghulam Abbas Ziaul Haq Abbas | 2022 | Computers, Materials & Continua2022，，12： | 0 |
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