Detecting design patterns: a hybrid approach based on graph matching and static analysis

2021 ◽  
Author(s):  
Jyoti Singh ◽  
Sripriya Roy Chowdhuri ◽  
Gosala Bethany ◽  
Manjari Gupta
Keyword(s):  
Static Analysis ◽  
Design Patterns ◽  
Graph Matching ◽  
Hybrid Approach

scholarly journals A Neural Network Based Hybrid Approach for Analysing and Detecting Malware Threat in Android Applications

2018 ◽  
Vol 7 (4.6) ◽  
pp. 410
Author(s):  
Hetal Suresh ◽  
Joseph Raymond V
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Static Analysis ◽  
Mobile Phones ◽  
Recurrent Neural Network ◽  
Hybrid Approach ◽  
Sensitive Data ◽  
Social Accounts ◽  
Android Applications ◽  
Do So

Mobile phones has become very integral part in our day to day life. In the digitalized world most of our day to day activities rely on mobile phone like banking activities, wallet payments, credentials, social accounts etc. Our system works in such a way that if there is an advantage to a technology there also exists a disadvantage. Every users have all their private and sensitive data in their mobile phones and download random applications from different platforms like play store, App store etc. There is a huge possibility that the applications downloaded are malicious applications. The existing system provides a solution for detection of such applications with the help of antivirus which has pre-built signatures that can be used to obtain an already existing malware which can be modified and manipulated by the hacker if they tend to do so. In this project, our purpose is to identify the malicious applications using Machine learning. By combining both static analysis and dynamic analysis we can use a Hybrid approach for analysing and detecting malware threats in android applications using Recurrent Neural Network (RNN). The main aim of this project will be to ensure that the application installed is benign, if it is not, it should block such applications and notify the user. 

scholarly journals AndroShield: Automated Android Applications Vulnerability Detection, a Hybrid Static and Dynamic Analysis Approach

Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 326 ◽  
Author(s):  
Amr Amin ◽  
Amgad Eldessouki ◽  
Menna Tullah Magdy ◽  
Nouran Abdeen ◽  
Hanan Hindy ◽  
...  
Keyword(s):  
Dynamic Analysis ◽  
Static Analysis ◽  
Mobile Applications ◽  
Web Application ◽  
Hybrid Approach ◽  
High Rate ◽  
Vulnerability Detection ◽  
Security Testing ◽  
Static And Dynamic Analysis ◽  
Android Applications

The security of mobile applications has become a major research field which is associated with a lot of challenges. The high rate of developing mobile applications has resulted in less secure applications. This is due to what is called the “rush to release” as defined by Ponemon Institute. Security testing—which is considered one of the main phases of the development life cycle—is either not performed or given minimal time; hence, there is a need for security testing automation. One of the techniques used is Automated Vulnerability Detection. Vulnerability detection is one of the security tests that aims at pinpointing potential security leaks. Fixing those leaks results in protecting smart-phones and tablet mobile device users against attacks. This paper focuses on building a hybrid approach of static and dynamic analysis for detecting the vulnerabilities of Android applications. This approach is capsuled in a usable platform (web application) to make it easy to use for both public users and professional developers. Static analysis, on one hand, performs code analysis. It does not require running the application to detect vulnerabilities. Dynamic analysis, on the other hand, detects the vulnerabilities that are dependent on the run-time behaviour of the application and cannot be detected using static analysis. The model is evaluated against different applications with different security vulnerabilities. Compared with other detection platforms, our model detects information leaks as well as insecure network requests alongside other commonly detected flaws that harm users’ privacy. The code is available through a GitHub repository for public contribution.

scholarly journals Utilizing Graph Matching for Mining Design Patterns

2020 ◽  
Vol 8 (10S2) ◽  
pp. 110-112
Keyword(s):  
System Design ◽  
Design Pattern ◽  
Design Patterns ◽  
Semantic Analysis ◽  
Graph Matching ◽  
Object Oriented ◽  
Pattern Identification ◽  
Mining Design ◽  
Object Oriented Approach ◽  
Oriented Approach

Design Patterns are one of the demonstrated reusable answers for the normally experienced design issues. The identification of design pattern is significant action that underpins re-building procedure and gives insights to the designer. The uncovering of these design patterns help understand the object oriented models clearly by analyzing the relations present in the model. Many design pattern identification approaches have been proposed in past years. These methodologies work upon the behavioral, structural and semantic analysis of the software. Many algorithms were used to recognize design patterns in software. In this paper, we will be extracting an attribute relational matrix from the graph using object oriented approach. The aim of the paper is to discover all the design patterns present in the system design.

scholarly journals A Hybrid Recommender System for HCI Design Pattern Recommendations

2021 ◽  
Vol 11 (22) ◽  
pp. 10776
Author(s):  
Amani Braham ◽  
Maha Khemaja ◽  
Félix Buendía ◽  
Faiez Gargouri
Keyword(s):  
Recommender System ◽  
Interface Design ◽  
Design Patterns ◽  
Hybrid Approach ◽  
Evaluation Study ◽  
Design Problems ◽  
Post Test ◽  
Standard Solution ◽  
Hybrid Recommender ◽  
Selection Of

User interface design patterns are acknowledged as a standard solution to recurring design problems. The heterogeneity of existing design patterns makes the selection of relevant ones difficult. To tackle these concerns, the current work contributes in a twofold manner. The first contribution is the development of a recommender system for selecting the most relevant design patterns in the Human Computer Interaction (HCI) domain. This system introduces a hybrid approach that combines text-based and ontology-based techniques and is aimed at using semantic similarity along with ontology models to retrieve appropriate HCI design patterns. The second contribution addresses the validation of the proposed recommender system regarding the acceptance intention towards our system by assessing the perceived experience and the perceived accuracy. To this purpose, we conducted a user-centric evaluation experiment wherein participants were invited to fill pre-study and post-test questionnaires. The findings of the evaluation study revealed that the perceived experience of the proposed system’s quality and the accuracy of the recommended design patterns were assessed positively.

Detection of Design Patterns in Software Design Model Using Graph

2013 ◽  
Vol 411-414 ◽  
pp. 559-562 ◽  
Author(s):  
Chalida Liamwiset ◽  
Vatanawood Wiwat
Keyword(s):  
Software Design ◽  
Design Patterns ◽  
Graph Matching ◽  
Design Model ◽  
Functional Requirements ◽  
Matching Algorithm ◽  
Subgraph Matching ◽  
Matching Technique ◽  
Uml Class Diagram ◽  
Local Properties

Detection of design patterns in software design phase possibly ensures the non-functional requirements, regarding performance features, before investing the implementation. We formalize the structural UML class diagram using graph. By applying graph matching technique, we propose an alternative of subgraph matching algorithm to extract the local properties of the UML class diagrams and perform the detecting of subgraph of possible design patterns found in the target software design model.

scholarly journals Demadroid: Object Reference Graph-Based Malware Detection in Android

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Huanran Wang ◽  
Hui He ◽  
Weizhe Zhang
Keyword(s):  
Dynamic Analysis ◽  
Static Analysis ◽  
Graph Matching ◽  
Daily Life ◽  
Malware Analysis ◽  
Dynamic Information ◽  
Android Malware ◽  
Actual Use ◽  
Reference Graph ◽  
Object Reference

Smartphone usage has been continuously increasing in recent years. In addition, Android devices are widely used in our daily life, becoming the most attractive target for hackers. Therefore, malware analysis of Android platform is in urgent demand. Static analysis and dynamic analysis methods are two classical approaches. However, they also have some drawbacks. Motivated by this, we present Demadroid, a framework to implement the detection of Android malware. We obtain the dynamic information to build Object Reference Graph and propose λ-VF2 algorithm for graph matching. Extensive experiments show that Demadroid can efficiently identify the malicious features of malware. Furthermore, the system can effectively resist obfuscated attacks and the variants of known malware to meet the demand for actual use.

A Justified Plan Graph (JPG) grammar approach to identifying spatial design patterns in an architectural style

2016 ◽  
Vol 45 (1) ◽  
pp. 67-89 ◽  
Author(s):  
Ju Hyun Lee ◽  
Michael J Ostwald ◽  
Ning Gu
Keyword(s):  
Design Patterns ◽  
Hybrid Approach ◽  
Space Syntax ◽  
Domestic Architecture ◽  
Analytic Approach ◽  
Shape Grammar ◽  
Architectural Style ◽  
Spatial Design ◽  
Justified Plan Graph

This paper presents a hybrid approach that selectively merges aspects of both the theories of Shape Grammar and Space Syntax to investigate spatial design patterns. The paper describes the development of a generic Justified Plan Graph (g-JPG) grammar. This grammatically nuanced, syntactically derived approach is then demonstrated through a more specific JPG (s-JPG) grammar to identify spatial design patterns in the rural domestic architecture of Glenn Murcutt. The results are then discussed in terms of Murcutt's architecture from four perspectives: grammatical transformation of syntax, epistemological questions, similarity or disparity and finally in terms of JPG variations. The findings of this paper suggest that the combined analytic approach facilitates the exploration of both the grammatical and syntactical genotypes of sets of architectural designs.

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