software similarity and classification springerbriefs in computer science

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Software Similarity And Classification

Author : Silvio Cesare
ISBN : 9781447129097
Genre : Computers
File Size : 82. 30 MB
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Software similarity and classification is an emerging topic with wide applications. It is applicable to the areas of malware detection, software theft detection, plagiarism detection, and software clone detection. Extracting program features, processing those features into suitable representations, and constructing distance metrics to define similarity and dissimilarity are the key methods to identify software variants, clones, derivatives, and classes of software. Software Similarity and Classification reviews the literature of those core concepts, in addition to relevant literature in each application and demonstrates that considering these applied problems as a similarity and classification problem enables techniques to be shared between areas. Additionally, the authors present in-depth case studies using the software similarity and classification techniques developed throughout the book.

International Conference On Security And Privacy In Communication Networks

Author : Jing Tian
ISBN : 9783319238029
Genre : Computers
File Size : 62. 67 MB
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This 2-volume set constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Security and Privacy in Communication Networks, SecureComm 2014, held in Beijing, China, in September 2014. The 27 regular and 17 short papers presented were carefully reviewed. It also presents 22 papers accepted for four workshops (ATCS, SSS, SLSS, DAPRO) in conjunction with the conference, 6 doctoral symposium papers and 8 poster papers. The papers are grouped in the following topics: security and privacy in wired, wireless, mobile, hybrid, sensor, ad hoc networks; network intrusion detection and prevention, firewalls, packet filters; malware, and distributed denial of service; communication privacy and anonymity; network and internet forensics techniques; public key infrastructures, key management, credential management; secure routing, naming/addressing, network management; security and privacy in pervasive and ubiquitous computing; security & privacy for emerging technologies: VoIP, peer-to-peer and overlay network systems; security & isolation in data center networks; security & isolation in software defined networking.

Detection Of Intrusions And Malware And Vulnerability Assessment

Author : Magnus Almgren
ISBN : 9783319205502
Genre : Computers
File Size : 83. 12 MB
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This book constitutes the refereed proceedings of the 12th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2015, held in Milan, Italy, in July 2015. The 17 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on attacks, attack detection, binary analysis and mobile malware protection, social networks and large-scale attacks, Web and mobile security, and provenance and data sharing.

Software Fault Prediction

Author : Sandeep Kumar
ISBN : 9789811087158
Genre : Computers
File Size : 77. 54 MB
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This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of software fault prediction. Chapter 2 explains the generalized architecture of the software fault prediction process and discusses its various components. In turn, Chapter 3 provides detailed information on types of fault prediction models and discusses the latest literature on each model. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models. Chapter 5 presents a study evaluating different techniques on the basis of their performance for software fault prediction. Chapter 6 presents another study evaluating techniques for predicting the number of faults in the software modules. In closing, Chapter 7 provides a summary of the topics discussed. The book will be of immense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area.

Big Data

Author : Min Chen
ISBN : 9783319062457
Genre : Computers
File Size : 25. 21 MB
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This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

Support Vector Machines And Perceptrons

Author : M.N. Murty
ISBN : 9783319410630
Genre : Computers
File Size : 66. 91 MB
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This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>

Software Sourcing In The Age Of Open

Author : Pär J. Ågerfalk
ISBN : 9783319172668
Genre : Computers
File Size : 56. 38 MB
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This SpringerBrief discusses multiple forms of open-source-inspired outsourcing: opensourcing, innersourcing and crowdsourcing. It uses a framework-based comparison to explain the strengths and weaknesses of each approach. By pointing out characteristics along with benefits and pitfalls of each approach, the authors provide nuanced and research-based advice to managers and developers facing software sourcing decisions. The differences and commonalities of these three emerging approaches are carefully analyzed. Chapters explore the primary challenges of reliability, efficiency and robustness in open-source methods. Examples from industrial cases are included, along with extensive references to recent research. The brief concludes with a comparative analysis of approaches and outlines key implications to be aware of when outsourcing. Software Sourcing in the Age of Open: Leveraging the Unknown Workforce is designed for professionals and researchers interested in outsourcing challenges. The content is also suitable for postgraduate students interested in contemporary software sourcing approaches.

Cyber Security

Author : Maurizio Martellini
ISBN : 9783319022796
Genre : Computers
File Size : 40. 63 MB
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The experts of the International Working Group-Landau Network Centro Volta (IWG-LNCV) discuss aspects of cyber security and present possible methods of deterrence, defense and resilience against cyber attacks. This SpringerBrief covers state-of-the-art documentation on the deterrence power of cyber attacks and argues that nations are entering a new cyber arms race. The brief also provides a technical analysis of possible cyber attacks towards critical infrastructures in the chemical industry and chemical safety industry. The authors also propose modern analyses and a holistic approach to resilience and security of Industrial Control Systems. The combination of contextual overview and future directions in the field makes this brief a useful resource for researchers and professionals studying systems security, data security and data structures. Advanced-level students interested in data security will also find this brief a helpful guide to recent research.

Explaining Algorithms Using Metaphors

Author : Michal Forišek
ISBN : 9781447150190
Genre : Education
File Size : 76. 69 MB
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There is a significant difference between designing a new algorithm, proving its correctness, and teaching it to an audience. When teaching algorithms, the teacher's main goal should be to convey the underlying ideas and to help the students form correct mental models related to the algorithm. This process can often be facilitated by using suitable metaphors. This work provides a set of novel metaphors identified and developed as suitable tools for teaching many of the "classic textbook" algorithms taught in undergraduate courses worldwide. Each chapter provides exercises and didactic notes for teachers based on the authors’ experiences when using the metaphor in a classroom setting.

Information Security Of Highly Critical Wireless Networks

Author : Maurizio Martellini
ISBN : 9783319529059
Genre : Computers
File Size : 34. 90 MB
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This SpringerBrief explores features of digital protocol wireless communications systems, and features of the emerging electrical smart grid. Both low power and high power wireless systems are described. The work also examines the cybersecurity vulnerabilities, threats and current levels of risks to critical infrastructures that rely on digital wireless technologies. Specific topics include areas of application for high criticality wireless networks (HCWN), modeling risks and vulnerabilities, governance and management frameworks, systemic mitigation, reliable operation, assessing effectiveness and efficiency, resilience testing, and accountability of HCWN. Designed for researchers and professionals, this SpringerBrief provides essential information for avoiding malevolent uses of wireless networks. The content is also valuable for advanced-level students interested in security studies or wireless networks.

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