scholarly journals Malware Detection Based on Hybrid Signature Behaviour Application Programming Interface Call Graph

2012 ◽  
Vol 9 (3) ◽  
pp. 283-288 ◽  
Author(s):  
Murat
Keyword(s):  
Malware Detection ◽  
Application Programming Interface ◽  
Call Graph ◽  
Application Programming ◽  
Programming Interface

scholarly journals Combined dynamic multi-feature and rule-based behavior for accurate malware detection

2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988990 ◽  
Author(s):  
Mohamed Belaoued ◽  
Abdelaziz Boukellal ◽  
Mohamed Amir Koalal ◽  
Abdelouahid Derhab ◽  
Smaine Mazouzi ◽  
...  
Keyword(s):  
Detection System ◽  
False Positive Rate ◽  
Malware Detection ◽  
Application Programming Interface ◽  
Longest Common Subsequence ◽  
Rule Based ◽  
Detection Techniques ◽  
Application Programming ◽  
Behavior Based ◽  
Programming Interface

Malware have become the scourge of the century, as they are continuously evolving and becoming more complex with increasing damages. Therefore, an adequate protection against such threats is vital. Behavior-based malware detection techniques have shown to be effective at overcoming the weaknesses of the signature-based ones. However, they are known for their high false alarms, which is still a very challenging problem. In this article, we address this shortcoming by proposing a rule-based behavioral malware detection system, which inherits the advantages of both signature and behavior-based approaches. We apply the proposed detection system on a combined set of three types of dynamic features, namely, (1) list of application programming interface calls; (2) application programming interface sequences; and (3) network traffic, which represents the IP addresses and domain names used by malware to connect to remote command-and-control servers. Feature selection and construction techniques, that is, term frequency–inverse document frequency and longest common subsequence, are performed on the three extracted features to generate new set of features, which are used to build behavioral Yet Another Recursive Acronym rules. The proposed malware detection approach is able to achieve an accuracy of 97.22% and a false positive rate of 4.69%.

Limitations of Current Anti-Virus Scanning Technologies

2011 ◽  
pp. 190-209 ◽  
Author(s):  
Srinivas Mukkamala
Keyword(s):  
Malware Detection ◽  
Application Programming Interface ◽  
General Technique ◽  
Commercial Grade ◽  
Original Table ◽  
Application Programming ◽  
Detection Mechanisms ◽  
Current Detection ◽  
Programming Interface ◽  
Multiple Attack

Malware has become more lethal by using multiple attack vectors to exploit both known and unknown vulnerabilities and can attack prescanned targets with lightning speed. In the future, it is important that the scanners are capable of detecting polymoraphic (obfuscated or variant) and metamorphic (mutated or evolved) versions of malware, however current scanning techniques for malware detection have serious limitations. Simple software obfuscation a general technique that is used to protect the software from reverse engineering techniques can circumvent the current detection mechanisms (anti-virus tools). In this chapter, we describe common attacks on anti-virus tools and a few obfuscation techniques applied to recent viruses that were used to thwart commercial grade anti-virus tools. Similarities among different malware and their variants are also presented in this chapter. The signature used in this method is the percentage of application programming interface (APIs) appearing in the malware type. The hypothesis is that mutants and variants will not stray far from the original. Table 5 shows serious limitations of commercial grade anti-virus scanners in detecting simple obfuscation attacks. Table 6 shows the percentages of similarity of a particular malware when compared to others. One important thing to note is that even the polymorphic ZMist uses the same set of APIs on all three variants.

Sistem Pengawasan Aktifitas Penggunaan Smartphone Android

2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Image Content ◽  
Image File ◽  
Application Programming ◽  
Index Terms ◽  
Programming Interface

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.

scholarly journals Advanced soft robot modeling in ChainQueen

Robotica ◽  
2021 ◽  
pp. 1-31
Author(s):  
Andrew Spielberg ◽  
Tao Du ◽  
Yuanming Hu ◽  
Daniela Rus ◽  
Wojciech Matusik
Keyword(s):  
Application Programming Interface ◽  
Material Point ◽  
Soft Robotics ◽  
Soft Robot ◽  
Inference Control ◽  
Simulation And Optimization ◽  
Efficient Simulation ◽  
Application Programming ◽  
Robot Modeling ◽  
Programming Interface

Abstract We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.

A Layered Mapping of Ada 202X to OpenMP

2021 ◽  
Vol 40 (2) ◽  
pp. 55-58
Author(s):  
S. Tucker Taft
Keyword(s):  
Operating System ◽  
Application Programming Interface ◽  
Light Weight ◽  
Main Interest ◽  
Thread Scheduling ◽  
Environment Variables ◽  
Application Programming ◽  
Parallel Loops ◽  
Programming Interface

The OpenMP specification defines a set of compiler directives, library routines, and environment variables that together represent the OpenMP Application Programming Interface, and is currently defined for C, C++, and Fortran. The forthcoming version of Ada, currently dubbed Ada 202X, includes lightweight parallelism features, in particular parallel blocks and parallel loops. All versions of Ada, since its inception in 1983, have included "tasking," which corresponds to what are traditionally considered "heavyweight" parallelism features, or simply "concurrency" features. Ada "tasks" typically map to what are called "kernel threads," in that the operating system manages them and schedules them. However, one of the goals of lightweight parallelism is to reduce overhead by doing more of the management outside the kernel of the operating system, using a light-weight-thread (LWT) scheduler. The OpenMP library routines support both levels of threading, but for Ada 202X, the main interest is in making use of OpenMP for its lightweight thread scheduling capabilities.

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