Forthcoming articles

 


International Journal of Forensic Software Engineering

 

These articles have been peer-reviewed and accepted for publication in IJFSE, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

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International Journal of Forensic Software Engineering (3 papers in press)

 

Regular Issues

 

  • A hybrid approach to find cloned objects in copy move forged images   Order a copy of this article
    by Ashish Kumar Chakraverti, Vijay Dhir 
    Abstract: In this paper, we have proposed a new hybrid approach to detecting the cloned object in copy move forged image. Presently images are a very powerful medium to communicate the messages across the world wide web. Social media is used to spread the image as the message in the way of the nuclear reaction. With the help of highly efficient and advanced image editing tools and techniques, images are modified intentionally and then spread over the world wide web. Due to the availability of these advance and efficient image editing tools, the genuineness of images is now highly questionable. There are so many types of image forgery, one of the very popular image forgeries is the copy-move forgery. In this forgery, images are forged by making the clone of objects of the same image with the help of copy past method. There are so many techniques to detect similar objects in the forged image. In our proposed work we have integrated two states of art techniques named Adhoc method and Principle Component Analysis (PCA) based Scale Invariant Feature Transform (SIFT) method and created a new hybrid technique to detect the cloned object in the forged image. Our technique is implemented in the two- step. In the first step, we have preprocessed the object image by the proposed Dynamic Block Size Technique based Local Contrast Modification and Contrast Limited Adaptive Histogram Equalization (DBST-LCM CLAHE) up to desired Peak Signal to Noise Ratio (PSNR) and grey level. After that in the second step, we have integrated Adhoc, and PCA based SIFT algorithm to design a hybrid approach. We have tested our proposed method over CoMoFoD image database. Our proposed method shows the better performance in comparison of the state of art techniques regarding false positive rate(FPR), true positive rate(TPR), and PSNR.
    Keywords: Image Processing; Image Enhancement; Adhoc; PSNR; Imagernforgery; SIFT; PCA; CLAHE; Noise.

  • Design of Framework for Ontological Component Retrieval from Software Component Repositories   Order a copy of this article
    by Iqbaldeep Kaur 
    Abstract: Modern component retrieval approaches are based on the context and domain of the software component in addition to using various classification and retrieval techniques like keyword search, attribute based search and semantic search. This work proposes Ontological Retrieval framework for software components that makes the use of ontology for effective retrieval of components. Ontological Component Retrieval framework has been created to facilitate the users and developers to retrieve software components matching precisely to their needs. A well-framed set of queries ranging from little to specific knowledge about the component requirement has been used to validate the results
    Keywords: Ontology; Software Component; Context Search; Semantic web services; Retrieval; Novelty Ratio; Lucene-Indexed Search; Reusability.

  • Performing Opinion Mining and Analytical Study for Cashless Transactions   Order a copy of this article
    by Sonakshi Vij, Amita Jain, Devendra Tayal 
    Abstract: Cashless economy and digital payments are one of the hot topics of research that are gaining enormous popularity day by day. It is primarily due to their ability to combat issues of corruption, back money, illegal transactions and counterfeit money. With the increase in number of options of digital payments, people are inclining themselves towards ease of payment. This paper focuses on two aspects: firstly it provides an analytical study performed in the field of cashless transactions and digital payments. Secondly, it finds out the opinion of the people about cashless transactions using a hybrid approach of type 2 fuzzy logic and hesitant fuzzy sets for polarity assignment. A sentiment analysis on Cashless Economy has been carried out using data obtained from Twitter in the form of Tweets.
    Keywords: Cashless Economy; Digital Payments; Hesitant Fuzzy Sets; Opinion Mining; Sentiment Analysis; Type 2 Fuzzy Logic.