Risk Management Policy of Telecommunication and Engineering Laboratory

Abdul Salam Shah,Muhammad Fayaz,Asadullah Shah,Shahnawaz Shah 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4

The Telecommunication laboratory plays an important role in carrying out research in the different fields like Telecommunication, Information Technology, Wireless Sensor Networks, Mobile Networks and many other fields. Every Engineering University has a setup of laboratories for students particularly for Ph.D. scholars to work on the performance analysis of different Telecommunication Networks including WLANs, 3G/4G, and Long Term Evolution (LTE). The laboratories help students to have hand on practice on the theoretical concepts they have learned during the teachings at the university. The technical subjects have a practical part also which boosts the knowledge of students and learning of new ideas. The Telecommunication and Engineering laboratories are equipped with different electronic equipment’s like digital trainers, simulators etc. and some additional supportive devices like computers, air conditioners, projectors, and large screens, with power backup facility that creates the perfect environment for experimentation. The setup of Telecommunication and Engineering laboratories cost huge amount, required to purchase equipment, and maintain the equipment. In any working environment risk factor is involved. To handle and avoid risks there must be risk management policy to tackle with accidents and other damages during working in the laboratory, may it be human or equipment at risk. In this paper, we have proposed a risk management policy for the Telecommunication and Engineering laboratories, which can be generalized for similar type of laboratories in engineering fields of studies.

Testing Desktop Application : Police Station Information Management System

Abdul Salam Shah,Muhammad Fayaz,Asadullah Shah,Shahnawaz Shah 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.7

The police stations have adequate importance in the society to control the law and order situations of the country. In Pakistan, police stations manage criminal records and information manually. We have previously developed and improved a desktop application for the record keeping of the different registers of the police stations. The data of police stations is sensitive and that need to be handled within secured and fully functional software to avoid any unauthorized access. For the proper utilization of the newly developed software, it is necessary to test and analyze the system before deployment into the real environment. In this paper, we have performed the testing of an application. For this purpose, we have used Ranorex, automated testing tool for the functional and performance testing, and reported the results of test cases as pass or fail.

An Offline Signature Verification Technique Using Pixels Intensity Levels

Abdul Salam Shah,M.N.A. Khan,Fazli Subhan,Muhammad Fayaz,Asadullah Shah 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8

Offline signature recognition has great importance in our day to day activities. Researchers are trying to use them as biometric identification in various areas like banks, security systems and for other identification purposes. Fingerprints, iris, thumb impression and face detection based biometrics are successfully used for identification of individuals because of their static nature. However, people’s signatures show variability that makes it difficult to recognize the original signatures correctly and to use them as biometrics. The handwritten signatures have importance in banks for cheque, credit card processing, legal and financial transactions, and the signatures are the main target of fraudulence. To deal with complex signatures, there should be a robust signature verification method in places such as banks that can correctly classify the signatures into genuine or forgery to avoid financial frauds. This paper, presents a pixels intensity level based offline signature verification model for the correct classification of signatures. To achieve the target, three statistical classifiers; Decision Tree (J48), probability based Naïve Bayes (NB tree) and Euclidean distance based k-Nearest Neighbor (IBk), are used. For comparison of the accuracy rates of offline signatures with online signatures, three classifiers were applied on online signature database and achieved a 99.90% accuracy rate with decision tree (J48), 99.82% with Naïve Bayes Tree and 98.11% with K-Nearest Neighbor (with 10 fold cross validation). The results of offline signatures were 64.97% accuracy rate with decision tree (J48), 76.16% with Naïve Bayes Tree and 91.91% with k-Nearest Neighbor (IBk) (without forgeries). The accuracy rate dropped with the inclusion of forgery signatures as, 55.63% accuracy rate with decision tree (J48), 67.02% with Naïve Bayes Tree and 88.12% (with forgeries).

Navigation through Citation Network Based on Content Similarity Using Cosine Similarity Algorithm

Abdul Ahad,Muhammad Fayaz,Abdul Salam Shah 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.5

The rate of scientific literature has been increased in the past few decades; new topics and information is added in the form of articles, papers, text documents, web logs, and patents. The growth of information at rapid rate caused a tremendous amount of additions in the current and past knowledge, during this process, new topics emerged, some topics split into many other sub-topics, on the other hand, many topics merge to formed single topic. The selection and search of a topic manually in such a huge amount of information have been found as an expensive and workforce-intensive task. For the emerging need of an automatic process to locate, organize, connect, and make associations among these sources the researchers have proposed different techniques that automatically extract components of the information presented in various formats and organize or structure them. The targeted data which is going to be processed for component extraction might be in the form of text, video or audio. The addition of different algorithms has structured information and grouped similar information into clusters and on the basis of their importance, weighted them. The organized, structured and weighted data is then compared with other structures to find similarity with the use of various algorithms. The semantic patterns can be found by employing visualization techniques that show similarity or relation between topics over time or related to a specific event. In this paper, we have proposed a model based on Cosine Similarity Algorithm for citation network which will answer the questions like, how to connect documents with the help of citation and content similarity and how to visualize and navigate through the document.

Appraisal of the Most Prominent Attacks due to Vulnerabilities in Cloud Computing

Masood Shah,Abdul Salam Shah 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.7

Cloud computing has attracted users due to high speed and bandwidth of the internet. The e-commerce systems are best utilizing the cloud computing. The cloud can be accessed by a password and username and is completely dependent upon the internet. The threats to confidentiality, integrity, authentication and other vulnerabilities that are associated with the internet are also associated with cloud. The internet and cloud can be secured from threats by ensuring proper security and authorization. The channel between user and cloud server must be secured with a proper authorization mechanism. The research has been carried out and different models have been proposed by the authors to ensure the security of clouds. In this paper, we have critically analyzed the already published literature on the security and authorization of the internet and cloud.

Implementation of User Authentication as a Service for Cloud Network

Masood Shah,Abdul Salam Shah,Imran Ijaz 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.10

There are so many security risks for the users of cloud computing, but still the organizations are switching towards the cloud. The cloud provides data protection and a huge amount of memory usage remotely or virtually. The organization has not adopted the cloud computing completely due to some security issues. The research in cloud computing has more focus on privacy and security in the new categorization attack surface. User authentication is the additional overhead for the companies besides the management of availability of cloud services. This paper is based on the proposed model to provide central authentication technique so that secured access of resources can be provided to users instead of adopting some unordered user authentication techniques. The model is also implemented as a prototype.

A Robust Technique of Brain MRI Classification using Color Features and K-Nearest Neighbors Algorithm

Muhammad Fayaz,Abdul Salam Shah,Fazli Wahid,Asadullah Shah 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.10

The analysis of MRI images is a manual process carried by experts which need to be automated to accurately classify the normal and abnormal images. We have proposed a reduced, three staged model having pre-processing, feature extraction and classification steps. In preprocessing the noise has been removed from grayscale images using a median filter, and then grayscale images have been converted to color (RGB) images. In feature extraction, red, green and blue channels from each channel of the RGB has been extracted because they are so much informative and easier to process. The first three color moments mean, variance, and skewness are calculated for each red, green and blue channel of images. The features extracted in the feature extraction stage are classified into normal and abnormal with K-Nearest Neighbors (k-NN). This method is applied to 100 images (70 normal, 30 abnormal). The proposed method gives 98.00% training and 95.00% test accuracy with datasets of normal images and 100% training and 90.00% test accuracy with abnormal images. The average computation time for each image was .06s.

An Evaluation of Automated Tumor Detection Techniques of Brain Magnetic Resonance Imaging (MRI)

Fazli Wahid,Muhammad Fayaz,Abdul Salam Shah 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.2

Image processing is a technique developed by computer and Information technology scientist and being used in all field of research including medical sciences. The focus of this paper is the use of image processing in tumor detection from the brain Magnetic Resonance Imaging (MRI). For the brain tumor detection, Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are the prominent imaging techniques, but most of the experts prefer MRI over CT. The traditional method of tumor detection in MRI images is a manual inspection which provides variations in the results when analyzed by different experts, therefore, in view of the limitations of the manual analysis of MRI, there is a need for an automated system that can produce globally acceptable and accurate results. There is enough amount of published literature available to replace the manual inspection process of MRI images with the digital computer system using image processing techniques. In this paper, we have provided a review of digital image processing techniques in the context of brain MRI processing and critically analyzed them for the identification of the gaps and limitations of the techniques so that the gaps can be filled and limitations of various techniques can be improved for precise and better results.

Critical Evaluation of Frontal Image-Based Gender Classification Techniques

Hira Khalid Khan,Abdul Salam Shah,Muhammad Asim Khan 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.10

The face describes the personality of humans and has adequate importance in the identification and verification process. The human face provides, information as age, gender, face expression and ethnicity. Research has been carried out in the area of face detection, identification, verification, and gender classification to correctly identify humans. The focus of this paper is on gender classification, for which various methods have been formulated based on the measurements of face features. An efficient technique of gender classification helps in accurate identification of a person as male or female and also enhances the performance of other applications like Computer-User Interface, Investigation, Monitoring, Business Profiling and Human Computer Interaction (HCI). In this paper, the most prominent gender classification techniques have been evaluated in terms of their strengths and limitations.

Critical Analysis of Cloud Computing Software Development Process Models

Ayub Khan,Muhammad Fayaz,Abdul Salam Shah,Fazli Wahid 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.11

Nowadays, every vendor and IT service provider wants to switch into a cloud environment for better Quality of Service (QoS), Scalability, Performance and reasonable Cost. Many software developers trying to get the benefits of cloud computing and want to access the cloud environments at low cost and easy access. For this rationale and real-time cloud services, a reliable virtual platform is required. Many issues are encountering in development and deployment of these platforms regarding programming models, application architecture, APIs and services it provided. On the other hand, there are too many issues on the client side, including the limitation of tools, the interaction between client and service provider and user requirements in a specific cloud. As the cloud is inherently distributed environment, so it fabricates gaps in communication and coordination between stack holders. To cope with these obstacles and overcome challenges during software development in Cloud Computing, it is necessary to have a framework which resolves the issues and develop the software process model which meet the user requirement and provide quality of services within a time and budget. In this paper, the literature review mainly focuses on the software process model with their strength and weakness. The literature review also analyzes some attributes for software life cycle including cost, time, scalability and QoS.