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Android Malware Detection Using Category Based Machine Learning Classifiers


Android Malware Detection Using Category Based Machine Learning Classifiers
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Android Malware Detection Using Category Based Machine Learning Classifiers


Android Malware Detection Using Category Based Machine Learning Classifiers
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Author : Huda Ali Alatwi
language : en
Publisher:
Release Date : 2016

Android Malware Detection Using Category Based Machine Learning Classifiers written by Huda Ali Alatwi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Android (Electronic resource) categories.


"Android malware growth has been increasing dramatically along with increasing of the diversity and complicity of their developing techniques. Machine learning techniques are the current methods to model patterns of static features and dynamic behaviors of Android malware. Whereas the accuracy rates of the classifiers increase with increasing the quality of the features, we relate between the apps' features and the features that are needed to deliver the category's functionality. Differently, our classification approach defines legitimate static features for benign apps under a specific category as opposite to identifying malicious patterns. We utilize the features of the top rated apps in a specific category to learn a malware detection classifier for the given category. Android apps stores organize apps into different categories; For example, Google play store organizes apps into 26 categories such as: Health and Fitness, News and Magazine, Music and Audio, etc. Each category has its distinct functionality which means the apps under a specific category are similar in their static and dynamic features. In general, benign apps under a certain category tend to share a common set of features. On the contrary, malicious apps tend to request abnormal features, less or more than what are common for the category that they belong to. This study proposes category-based machine learning classifiers to enhance the performance of classification models at detecting malicious apps under a certain category. The intensive machine learning experiments proved that category-based classifiers report a remarkable higher average performance compared to non-category based."--Abstract.



Proceedings Of The Second International Conference On The Future Of Asean Icofa 2017 Volume 2


Proceedings Of The Second International Conference On The Future Of Asean Icofa 2017 Volume 2
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Author : Rizauddin Saian
language : en
Publisher: Springer
Release Date : 2018-05-04

Proceedings Of The Second International Conference On The Future Of Asean Icofa 2017 Volume 2 written by Rizauddin Saian and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-04 with Social Science categories.


This book examines how business, the social sciences, science and technology will impact the future of ASEAN. Following the ASEAN VISION 2020, it analyses the issues faced by ASEAN countries, which are diverse, while also positioning ASEAN as a competitive entity through partnerships. On the 30th anniversary of ASEAN, all ASEAN leaders agreed to the establishment of the ASEAN VISION 2020, which delineates the formation of a peaceful, stable and dynamically developed region while maintaining a community of caring societies in Malaysia, Indonesia, Singapore, Brunei, Vietnam, Thailand, the Philippines, Myanmar, Laos and Cambodia. In keeping with this aspiration, Universiti Teknologi MARA Perlis took the initial steps to organise conferences and activities that highlight the role of the ASEAN region. The Second International Conference on the Future of ASEAN (ICoFA) 2017 was organised by the Office of Academic Affairs, Universiti Teknologi MARA Perlis, to promote more comprehensive integration among ASEAN members. This book, divided into two volumes, offers a useful guide for all those engaged in research on business, the social sciences, science and technology. It will also benefit researchers worldwide who want to gain more knowledge about ASEAN countries



Cybersecurity And Human Capabilities Through Symbiotic Artificial Intelligence


Cybersecurity And Human Capabilities Through Symbiotic Artificial Intelligence
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Author : Hamid Jahankhani
language : en
Publisher: Springer Nature
Release Date : 2025-06-14

Cybersecurity And Human Capabilities Through Symbiotic Artificial Intelligence written by Hamid Jahankhani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Computers categories.


This book presents the 16th ICGS3-24 conference which aims to understand the full impact of cyber-security, AI, deepfake, and quantum computing on humanity. Over the last two decades, technology relating to cyber-space (satellites, drones, UAVs), cyber-security, artificial intelligence, and generative AI has evolved rapidly. Today, criminals have identified rewards from online frauds; therefore, the risks and threats of cyber-attacks have increased too. Detection of the threat is another strand to the strategy and will require dynamic risk management techniques, strong and up-to-date information governance standards, and frameworks with AI responsive approaches in order to successfully monitor and coordinate efforts between the parties. Thus, the ability to minimize the threats from cyber is an important requirement. This will be a mission-critical aspect of the strategy with development of the right cyber-security skills, knowledge, and culture that are imperative for the implementation of the cyber-strategies. As a result, the requirement for how AI Demand will influence business change and thus influence organizations and governments is becoming important. In an era of unprecedented volatile, political, and economic environment across the world, computer-based systems face ever more increasing challenges, disputes, and responsibilities while the Internet has created a global platform for the exchange of ideas, goods, and services; however, it has also created boundless opportunities for cyber-crime. The ethical and legal implications of connecting the physical and digital worlds and presenting the reality of a truly interconnected society present the realization of the concept of smart societies. Drawing on 15 years of successful events, the 16th ICGS3-24 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. This Annual International Conference is an established platform in which security, safety, and sustainability issues can be examined from several global perspectives through dialogue between academics, students, government representatives, chief executives, security professionals, and research scientists from the UK and from around the globe.



Android Malware Detection And Adversarial Methods


Android Malware Detection And Adversarial Methods
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Author : Weina Niu
language : en
Publisher: Springer Nature
Release Date : 2024-05-23

Android Malware Detection And Adversarial Methods written by Weina Niu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-23 with Computers categories.


The rise of Android malware poses a significant threat to users’ information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware. This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. It is organized into four parts: the overview of Android malware detection, the general Android malware detection method, the adversarial method for Android malware detection, and the future trends of Android malware detection. Within these sections, the book elucidates associated issues, principles, and highlights notable research. By engaging with this book, readers will gain not only a global perspective on Android malware detection and adversarial methods but also a detailed understanding of the taxonomy and general methods outlined in each part. The publication illustrates both the overarching model and representative academic work, facilitating a profound comprehension of Android malware detection.



Intelligent Systems And Applications


Intelligent Systems And Applications
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2020-08-25

Intelligent Systems And Applications written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Technology & Engineering categories.


The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.



Intelligent Mobile Malware Detection


Intelligent Mobile Malware Detection
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Author : Tony Thomas
language : en
Publisher: CRC Press
Release Date : 2022-12-30

Intelligent Mobile Malware Detection written by Tony Thomas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Computers categories.


The popularity of Android mobile phones has caused more cybercriminals to create malware applications that carry out various malicious activities. The attacks, which escalated after the COVID-19 pandemic, proved there is great importance in protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, the text shows how most of the Android malware can be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the authors' recent research. The experiments are conducted with the latest Android malware samples, and the malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.



Proceedings Of The First International Conference On Intelligent Computing And Communication


Proceedings Of The First International Conference On Intelligent Computing And Communication
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Author : Jyotsna Kumar Mandal
language : en
Publisher: Springer
Release Date : 2016-11-21

Proceedings Of The First International Conference On Intelligent Computing And Communication written by Jyotsna Kumar Mandal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Technology & Engineering categories.


The book covers a wide range of topics in Computer Science and Information Technology including swarm intelligence, artificial intelligence, evolutionary algorithms, and bio-inspired algorithms. It is a collection of papers presented at the First International Conference on Intelligent Computing and Communication (ICIC2) 2016. The prime areas of the conference are Intelligent Computing, Intelligent Communication, Bio-informatics, Geo-informatics, Algorithm, Graphics and Image Processing, Graph Labeling, Web Security, Privacy and e-Commerce, Computational Geometry, Service Orient Architecture, and Data Engineering.



The 22nd International Conference On Information Technology New Generations Itng 2025


The 22nd International Conference On Information Technology New Generations Itng 2025
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Author : Shahram Latifi
language : en
Publisher: Springer Nature
Release Date : 2025-05-08

The 22nd International Conference On Information Technology New Generations Itng 2025 written by Shahram Latifi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Computers categories.


This book covers technical contributions that have been submitted, reviewed and presented at the 22nd annual event of International conference on Information Technology: New Generations (ITNG) The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security and health care are among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics.



Advances In Cybersecurity Cybercrimes And Smart Emerging Technologies


Advances In Cybersecurity Cybercrimes And Smart Emerging Technologies
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Author : Ahmed A. Abd El-Latif
language : en
Publisher: Springer Nature
Release Date : 2023-03-11

Advances In Cybersecurity Cybercrimes And Smart Emerging Technologies written by Ahmed A. Abd El-Latif and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-11 with Technology & Engineering categories.


This book gathers the proceedings of the International conference on Cybersecurity, Cybercrimes, and Smart Emerging Technologies, held on May 10–11, 2022, in Riyadh, Saudi Arabia. The conference organized by the College of Computer Science of Prince Sultan University, Saudi Arabia. This book provides an opportunity to account for state-of-the-art works, future trends impacting cybersecurity, cybercrimes, and smart emerging technologies, that concern to organizations and individuals, thus creating new research opportunities, focusing on elucidating the challenges, opportunities, and inter-dependencies that are just around the corner. This book is helpful for students and researchers as well as practitioners. CCSET 2022 was devoted to advances in cybersecurity, cybercime, and smart emerging technologies. It was considered a meeting point for researchers and practitioners to implement advanced information technologies into various industries. There were 89 paper submissions from 25 countries. Each submission was reviewed by at least three chairs or PC members and 26 regular papers (30%) were accepted. Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements.



Automated Software Engineering A Deep Learning Based Approach


Automated Software Engineering A Deep Learning Based Approach
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Author : Suresh Chandra Satapathy
language : en
Publisher: Springer Nature
Release Date : 2020-01-07

Automated Software Engineering A Deep Learning Based Approach written by Suresh Chandra Satapathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Technology & Engineering categories.


This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering.