Estimation of software features based birthmark

Nazir, Shah; Shahzad, Sara; Atan, Rodziah; Farman, Haleem

doi:10.1007/s10586-017-0842-3

Cited by 10 publications

(16 citation statements)

References 34 publications

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“…In literature, different approaches are used to achieve the objective using different techniques such as the analytical network process (ANP) and analytical hierarchy process (AHP). In this paper, the ANP is used as it is widely used in literature in different fields such as software engineering, wireless sensor network (WSN), VANETS, and resource management [26][27][28][29]. In software engineering, an ANP is used for software component selection.…”

Section: Multicriteria Decision-makingmentioning

confidence: 99%

Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks

et al. 2018

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.Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives' candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives' ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.

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Section: Multicriteria Decision-makingmentioning

confidence: 99%

Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks

et al. 2018

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“…Source code transformation is done for various purposes such as to optimize the efficiency of the source code, minimize the source code, and mostly to hide the identity of source code. Various preservation techniques are used for changing or modifying the source code [18][19][20][21][22]. Practitioners are mostly embedding the watermark or digital signature for protecting the identity and ownership of the source code.…”

Section: Introductionmentioning

confidence: 99%

A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

Qinxia

Nazir

Gao

et al. 2021

Scientific Programming

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The large scale increase of communication and number of devices in the Industrial Internet of Things (IIoT) has rapidly enabled practitioners to make decisions based on multicriteria. Multicriteria decision support systems (MCDSSs) play an important role in decision-making for a particular situation based on several criteria. Making of decision based on multicriteria is the main issues for research community and practitioners of the IIoT. Several decision support systems (DSSs) are offered for making decisions which have the potentiality to support the activities of the decision-making process. The suggested study shows a review on the existing decision support systems for the IIoT for source code transformation which will enable research community and practitioners of the industry to use the existing methods, tools, approaches, and techniques and to provide novel solutions for the smooth industry of Internet of Things.

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“…A lot of effort is being made in the research and development sector throughout the world to find solutions for this problem [8]. Vision capability towards perception and sensing is a real phenomenon for understanding mobility and manipulation of real world's random situation.…”

Section: Introductionmentioning

confidence: 99%

Partial Observer Decision Process Model for Crane-Robot Action

Khan

Haq

et al. 2020

Scientific Programming

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e most common use of robots is to effectively decrease the human's effort with desirable output. In the human-robot interaction, it is essential for both parties to predict subsequent actions based on their present actions so as to well complete the cooperative work. A lot of effort has been devoted in order to attain cooperative work between human and robot precisely. In case of decision making , it is observed from the previous studies that short-term or midterm forecasting have long time horizon to adjust and react. To address this problem, we suggested a new vision-based interaction model. e suggested model reduces the error amplification problem by applying the prior inputs through their features, which are repossessed by a deep belief network (DBN) though Boltzmann machine (BM) mechanism. Additionally, we present a mechanism to decide the possible outcome (accept or reject). e said mechanism evaluates the model on several datasets. Hence, the systems would be able to capture the related information using the motion of the objects. And it updates this information for verification, tracking, acquisition, and extractions of images in order to adapt the situation. Furthermore, we have suggested an intelligent purifier filter (IPF) and learning algorithm based on vision theories in order to make the proposed approach stronger. Experiments show the higher performance of the proposed model compared to the state-of-the-art methods.

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Estimation of software features based birthmark

Cited by 10 publications

References 34 publications

Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks

Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks

A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

Partial Observer Decision Process Model for Crane-Robot Action

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