Journal of Intelligent & Fuzzy Systems - Volume 32, issue 5

Authors: Mishra, K.K.

Article Type: Editorial

DOI: 10.3233/JIFS-169266

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3229-3229, 2017

Authors: Navarro, Pedro Luis Mateo | Ruiz, Diego Sevilla | Pérez, Gregorio Martínez

Article Type: Research Article

Abstract: GUI testing is essential to provide validity and quality of system response, but applying it to a development is not straightforward: it is time consuming, requires specialized personnel, and involves complex activities that sometimes are implemented manually. GUI testing tools help supporting these processes. However, integrating them into software projects may be troublesome, mainly due to the diversity of GUI platforms and operating systems in use. This work presents the design and implementation of Open HMI Tester (OHT), an application framework for the automation of testing processes based on GUI introspection. It is cross-platform, and provides an adaptable design aimed …at supporting major event-based GUI platforms. It can also be integrated into ongoing and legacy developments using dynamic library preloading. OHT provides a robust and extensible basis to implement GUI testing tools. A capture and replay approach has been implemented as proof of concept. Introspection is used to capture essential GUI and interaction data. It is used also to simulate real human interaction in order to increase robustness and tolerance to changes between testing iterations. OHT is being actively developed by the Open-source Community and, as shown in this paper, it is ready to be used in current software projects. Show more

Keywords: Graphical User Interfaces, GUI testing, application frameworks, capture and replay, open-source, cross-platform

DOI: 10.3233/JIFS-169267

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3231-3243, 2017

Authors: Singh, Shailendra Pratap | Kumar, Anoj

Article Type: Research Article

Abstract: Differential evolution algorithm is a very popular nature inspired algorithm and it is used for solving single objective optimization problems. Due to its high convergence rate and ability to produce diverse solutions, it has been extended to solve multiobjective optimization problems. Many versions of DE were proposed however multiobjective versions, where concept of Pareto optimality is used, are most popular. Pareto Based Differential Evolution (PBDE) is one of them. Although performance of this algorithm is very good, yet its convergence rate can be further improved by minimizing the time complexity of nondominated sorting and by improving the diversity among solutions. …This has been implemented by using efficient nondominated algorithm whose time complexity is better than the previous one and a new mutation scheme is implemented in DE which can provide more diversity among solutions. The proposed variant adds one more vector named as Homeostasis mutation vector in the existing mutation vectors to provide more bandwidth for selecting effective mutant solutions. The proposed approach provides more promising solutions to guide the evolution and helps DE escaping the situation of stagnation. Performance of proposed algorithm is evaluated on twelve benchmark test functions (bi-objective and tri-objective) on Pareto-optimal front. Performance of proposed algorithm is compared with other state-of-the-art algorithms on five multiobjective evolutionary algorithms (MOEAs). The result verifies that our proposed Homeostasis mutation strategy performs better than other state-of-the-art variants. Show more

Keywords: Adaptation, optimization, multi-objective evolutionary algorithm

DOI: 10.3233/JIFS-169268

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3245-3257, 2017

Authors: Siddiqa, Aisha | Karim, Ahmad | Saba, Tanzila | Chang, Victor

Article Type: Research Article

Abstract: Efficient response to search queries is very crucial for data analysts to obtain timely results from big data spanned over heterogeneous machines. Currently, a number of big-data processing frameworks are available in which search operations are performed in distributed and parallel manner. However, implementation of indexing mechanism results in noticeable reduction of overall query processing time. There is an urge to assess the feasibility and impact of indexing towards query execution performance. This paper investigates the performance of state-of-the-art clustered indexing approaches over Hadoop framework which is de facto standard for big data processing. Moreover, this study leverages a comparative …analysis of non-clustered indexing overhead in terms of time and space taken by indexing process for varying volume data sets with increasing Index Hit Ratio. Furthermore, the experiments evaluate performance of search operations in terms of data access and retrieval time for queries that use indexes. We then validated the obtained results using Petri net mathematical modeling. We used multiple data sets in our experiments to manifest the impact of growing volume of data on indexing and data search and retrieval performance. The results and highlighted challenges favorably lead researchers towards improved implication of indexing mechanism in perspective of data retrieval from big data. Additionally, this study advocates selection of a non-clustered indexing solution so that optimized search performance over big data is obtained. Show more

Keywords: Big data, indexing, big data processing, data retrieval

DOI: 10.3233/JIFS-169269

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3259-3271, 2017

Authors: Sarika, S. | Paul, Varghese

Article Type: Research Article

Abstract: Internet phishing has become a continual threat that keeps growing day by day. Phishing takes advantage of the user’s trust and use social engineering techniques to deceive them. Despite having several anti-phishing strategies, the threat of phishing is not mitigated as modern types of attack keeps coming to the fore. Nowadays, phishers launch sophisticated phishing attacks which tricks users to submit their credentials by leveraging the facilities tabs offer to web browsers. Browser security is important in this perspective. This paper explains a heuristic method to defend phishing attacks by utilizing software agents for parallel attack recognition. The main focus …is on a browser based attack called Tabnabbing which takes action in inactive browser tabs. The proposed method uses agents in three levels to continuously monitor the presence of attack in regular intervals at multiple tabs and warn the user at the earliest. This approach also protects the users against URL obfuscations and malicious links. Results show that the proposed method outperforms the state of the art phishing detection methods and achieves an accuracy of 97.3%. Show more

Keywords: Tabnabbing, intelligent agents, internet security, antiphishing

DOI: 10.3233/JIFS-169270

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3273-3284, 2017

Authors: Punhani, Akash | Kumar, Pardeep | Nitin,

Article Type: Research Article

Abstract: Many variants of the mesh interconnection networks have been suggested in past by the placement of the extra links to the existing mesh topology. In this paper, we have searched for the optimal links that should place in the topology so as to reduce the average inter node distance of the resultant topology. This is a heuristic search problem which has the single objective that is to minimize the average inter node distance of the topology. The Improved Environmental Adaptation Method (IEAM) is one of the latest techniques based on phenotypic properties of genes, which prove to be fast in …searching the optimal solution to the problem. The paper describes in detail the various operator of IEAM and compares its performance with the existing heuristic technique that is Genetic algorithm. The IEAM obviously proves to be better in finding the results. After finding the optimized topology the resultant is tested for the performance with existing variant of the topology like mesh, center concentrated mesh, T Mesh for performance and proves to give the improvement more than 2 times. Show more

Keywords: Optimization, environmental adaptation method, interconnection network, average inter node distance, performance evaluation

DOI: 10.3233/JIFS-169271

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3285-3295, 2017

Authors: Piryani, Rajesh | Gupta, Vedika | Singh, Vivek Kumar

Article Type: Research Article

Abstract: This paper describes an integrated aspect level opinion summary generation system for movie reviews. The system, named as Movie Prism, analyses each movie review, locates aspect term in it, identifies opinion about those aspects and then generates a visual aspect based opinion summary of the movie in question. At present, the movie reviews and other related information is being automatically fetched from IMDb for all the movies released during the years 2010 to 2014. The system has an integrated crawler for this purpose. Further, ontology for the movie domain is created for better aspect identification. We have evaluated the system …on three annotated movie review datasets. The system obtains good accuracy. Overall the designed system is capable of producing visual aspect level opinion summaries from unstructured textual reviews, without any need of training and results have a reasonable degree of accuracy. Show more

Keywords: Aspect level sentiment analysis, linguistic approach, natural language processing (NLP), ontology

DOI: 10.3233/JIFS-169272

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3297-3311, 2017

Authors: Kustiawan, Iwan | Chi, Kuang-Hui

Article Type: Research Article

Abstract: Handoff decision is an important issue governing the perceived quality of service by a mobile terminal. This study aims to provide a handoff scheme leveraging a Kalman filter combined with a fuzzy system that is intended for a UE (user equipment) to carry out while roaming among different radio access technologies. Handoff decision is made in light of UE-discovered information such as RSS (received signal strength), data rate, network latency, and user preference as input criteria. A Kalman filter is tasked to reduce noisy RSSs. Then a fuzzy inference engine fuses the filtered-RSSs with the remaining three metrics to deduce …whether to launch handoff. UE movements within heterogeneous wireless networks are simulated with a symmetric random walk model. The Pascal’s triangle is applied to visualize UE’s mobility patterns as an elegant way. Simulation results show that the proposed scheme outperforms other approaches in terms of reducing unnecessary handoffs. Show more

Keywords: Kalman filter, fuzzy system, handoff decision, random walk model, heterogeneous wireless network

DOI: 10.3233/JIFS-169273

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3313-3324, 2017

Authors: Selwal, Arvind | Gupta, Sunil Kumar | Surender,

Article Type: Research Article

Abstract: Multi-modal biometric systems (MBS) are an enhancement of unibiometric systems where recognition is based on multiple biological traits of the user. Once the biological traits of a user are captured through sensors, the unique feature points are extracted from each modality and represented as a feature vector. The privacy and security of feature templates in biometric recognition systems are the top design issues, which is gaining the attention of the majority of research community. In this paper, a hybrid template security technique is designed for a bi-modal biometric system based on fingerprint and hand geometry. The technique first use the …bio-hashing, in order to transform the actual feature vectors (FVs) into respective binary feature vectors (BFVs) and then applying a transformation scheme to fuse the binary vectors into a secured template. In order to improve the storage overhead for the protected template, a novel octet indexing technique is applied on the intermediate feature vector (IFV). The proposed technique results in improvement of storage requirement by representing secured template as a 64-bits vector with octet indexing. Furthermore, the proposed technique results in the overall enhancement of the recognition accuracy as compared to fingerprint and hand geometry uni-biometrics. The proposed hybrid scheme results in a recognition rate of 98.4% and an equal error rate (EER) of 0.48%, with improvement in template storage overhead up to 50%. Show more

Keywords: Biometric system, feature fusion, multimodal biometric, template indexing, template security

DOI: 10.3233/JIFS-169274

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3325-3337, 2017

Authors: Pandey, Ramesh C. | Singh, Sanjay K. | Shukla, K.K.

Article Type: Research Article

Abstract: The purpose of this paper is to detect tampering in the video using passive forensic method. With the extensive availability of sophisticated video editing software and tools, it has become easy to forge the video using different tampering techniques. A well-known video tampering technique is to duplicate the frames or manipulate the contents of the frames to remove and hide the objects or person in a video. Video forensic is necessary because people tampered the video to get justice from court of law on the basis of video evidence, disgrace the important celebrity and to hide or expose some unwanted …object. In this paper, we propose a passive forensic method to expose dynamic object removal and frames duplication by detecting the noise variance between original and tampered video frames. The proposed method exploits sensor noise features, extracted from each frame of the video using Discrete Wavelet Transform (DWT) and nonlinear thresholding such as Hard and Soft with Stein’s Unbiased Risk Estimator (SURE) shrinkage. Gaussian Mixture Density (GMD) is used as Bayesian classifier and Expectation-Maximization (EM) algorithm set the parameters of the GMD. Implementation results demonstrate that we are getting commendable processing speed, accuracy 97.36-96.26%, recall 99.80-98.94% and precision 97.34-87.95% respectively for object removal and frame duplication detection in comparison to existing methods. Proposed method successfully detect and localize forgery in the given video. Show more

Keywords: Passive forensic, video tampering, noise features, hard thresholding, soft thresholding, SURE shrinkage, Gaussian Mixture Density (GMD)

DOI: 10.3233/JIFS-169275

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3339-3353, 2017