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Security Completeness Problem in Wireless Sensor Networks
Shaikh, Riaz Ahmed,Lee, Sungyoung,Albeshri, Aiiad AUTOSOFT PRESS 2015 INTELLIGENT AUTOMATION AND SOFT COMPUTING Vol.21 No.2
<P>With the emergence of wireless sensor networks and its usage in sensitive monitoring and tracking applications, the need of ensuring complete security is gaining more importance than ever before. Complete security can only be ensured by adding privacy, cryptographic-based security and trust management aspects in a security solution. However, integration of all these three aspects in a single solution for resource constraints wireless sensor networks is not trivial. Current research intensively focuses on all these three aspects in an isolated manner. To the best of our knowledge, we have not found any work in the literature that comprehensively discusses: how these various privacy, security and trust solutions work together? In this work, we have made the first step towards this direction and to show how integration of various privacy, security and trust solutions can be performed in a single solution in step-by-step manner.</P>
Outlier Detection in Indoor Localization and Internet of Things (IoT) using Machine Learning
Mansoor Ahmed Bhatti,Rabia Riaz,Sana Shokat,Farina Riaz,Se Jin Kwon 한국통신학회 2020 Journal of communications and networks Vol.22 No.3
In Internet of things (IoT) millions of devices are intelligently connected for providing smart services. Especially in indoor localization environment, that is one of the most concerningtopic of smart cities, internet of things and wireless sensor networks. Many technologies are being used for localization purposein indoor environment and Wi-Fi using received signal strengths(RSSs) is one of them. Wi-Fi RSSs are sensitive to reflection, refraction, interference and channel noise that cause irregularity insignal strengths. The irregular and anomalous RSS values, used ina Wi-Fi indoor localization environment, cannot define the locationof any unknown node correctly. Therefore, this research has developed an outlier detection technique named as iF_Ensemblefor Wi-Fi indoor localization environment by analyzing RSSs using the combination of supervised, unsupervised and ensemble machine learning methods. In this research isolation forest (iForest)is used as an unsupervised learning method. Supervised learningmethod includes support vector machine (SVM), K-nearest neighbor (KNN) and random forest (RF) classifiers with stacking thatis an ensemble learning method. For the evaluation purpose accuracy, precision, recall, F-score and ROC-AUC curve are used. Theevaluation of used machine learning method provides high accuracy of 97.8 percent with proposed outlier detection methods andalmost 2 percent improvement in the accuracy of localization process in indoor environment after eliminating outliers.
Riaz Uddin,Ali S. Alghamdi,Muhammad Hammad Uddin,Ahmed Bilal Awan,Syed Atif Naseem 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6
The fault diagnosis and control through fault detection, isolation and supply restoration (FDIR) technique is the part of a commonly used distribution management system application in smart grid. When the fault occurs, it becomes essential to detect and isolate the faulty section of the distribution network at once and then restore back to its running condition through tie switches. The communication between IEDs is done through diferent communication mediums such as Ethernet, wireless, power line communication etc. Therefore, formal analysis of the FDIR mechanism is required with communication network (ideally Ethernet), which helps us to predict the behavior of FDIR response upon the occurrence of fault in terms of various important probabilities, reliability study and efciency (showing the system will work properly). In this regard, for the above said analyses, this article discusses (a) the development of the Markovian model of FDIR for distribution network of smart grid considering Tianjin Electric Power Network as case study with intelligent electronic devices (IEDs) using ideal communication medium (Ethernet); (b) utilized probabilistic model checker (PRISM tool) to predict the probabilities; (c) perform the reliability analyses and (d) study the efciency of FDIR behavior for future grid using logical properties. The detailed analysis and prediction (done for the fault occurrence scenario) mainly focus in determining the (1) the probability of switching failures of FDIR in smart grid; (2) the probability of isolating the defective switch from the system within limited time and (3) the probability of restoring the system automatically within the minimum possible interval.
Riaz Uddin,Muhammad Affan,Asad Arfeen,Jeha Ryu,Saad Ahmed Qazi 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1
The paper presents the comprehensive transparency analyses in terms of low frequency approximation of perceived impedance for the notable passivity-based approaches such as wave variable (WV), time domain passivity observer and control (TDPC), energy-bounding approach (EBA) and predictive energy-bounding approach (Predictive-EBA). Firstly, low frequency models of perceived impedance for the aforesaid approaches are developed and then, analyzed and discussed in detail. Secondly, these approaches are compared with each other to study the transparency in free motion and contact mode for prominent two-channel (2C) force feedback architectures namely, position error-based force reflection (PE) and direct force sensing (PF). Lastly, the detailed analyses and comparisons among WV, TDPC, EBA and Predictive-EBA are done both qualitatively and quantitatively, followed by the important discussions and conclusions.
Lipoxygenase Inhibitory Constituents from Indigofera oblongifolia
Sharif, Ahsan,Ahmed, Ejaz,Malik, Abdul,Riaz, Naheed,Afza, Nighat,Nawaz, Sarfraz Ahmad,Arshad, Muhammad,Shah, Muhammad Raza,Chaudhary, Muhammad Iqbal The Pharmaceutical Society of Korea 2005 Archives of Pharmacal Research Vol.28 No.7
Indigin, alkylated xanthene (1) and indigoferic acid (2) have been isolated from the chloroform soluble fraction of Indigofera oblongifolia, along with $\beta$-sitosterol (3) and 3-hydroxybenzoic acid (4), which are reported for the first time from this species. Their structures were determined through spectroscopic techniques. Both the new compounds 1 and 2 showed significant activity against enzyme lipoxygenase, while 2 further showed moderate inhibition against BChE.
New Butyrylcholinesterase Inhibitory Triterpenes from Salvia santolinifolia
Mehmood Sajid,Riaz Naheed,Nawaz Sarfraz Ahmed,Afza Nighat,Malik Abdul,Choudhary Muhammad Iqbal The Pharmaceutical Society of Korea 2006 Archives of Pharmacal Research Vol.29 No.3
Slavins A (1) and B (2), the new amyrin type triterpenes, have been isolated from the chloroform soluble fraction of Salvia santolinifolia and assigned structures on the basis of spectral studies including 2D NMR. Both the compounds displayed inhibitory potential against the enzyme butyrylcholinesterase.
New Butyrylcholinesterase Inhibitory Triterpenes from Salvia santolinifolia
Sajid Mehmood,Naheed Riaz,Sarfraz Ahmed Nawaz,Nighat Afza,Abdul Malik,Muhammad Iqbal Choudhary 대한약학회 2006 Archives of Pharmacal Research Vol.29 No.3
Slavins A (1) and B (2), the new amyrin type triterpenes, have been isolated from the chloroform soluble fraction of Salvia santolinifolia and assigned structures on the basis of spectral studies including 2D NMR. Both the compounds displayed inhibitory potential against the enzyme butyrylcholinesterase.