Big Data Analytics with Applications in Insider Threat Detection

Download Big Data Analytics with Applications in Insider Threat Detection PDF Online Free

Author :
Release : 2017-11-22
Genre : Computers
Kind :
Book Rating : 765/5 ( reviews)

Big Data Analytics with Applications in Insider Threat Detection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics with Applications in Insider Threat Detection write by Bhavani Thuraisingham. This book was released on 2017-11-22. Big Data Analytics with Applications in Insider Threat Detection available in PDF, EPUB and Kindle. Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Big Data Analytics with Applications in Insider Threat Detection

Download Big Data Analytics with Applications in Insider Threat Detection PDF Online Free

Author :
Release : 2017-11-22
Genre : Computers
Kind :
Book Rating : 480/5 ( reviews)

Big Data Analytics with Applications in Insider Threat Detection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics with Applications in Insider Threat Detection write by Bhavani Thuraisingham. This book was released on 2017-11-22. Big Data Analytics with Applications in Insider Threat Detection available in PDF, EPUB and Kindle. Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Secure Data Science

Download Secure Data Science PDF Online Free

Author :
Release : 2022-04-27
Genre : Computers
Kind :
Book Rating : 510/5 ( reviews)

Secure Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Secure Data Science write by Bhavani Thuraisingham. This book was released on 2022-04-27. Secure Data Science available in PDF, EPUB and Kindle. Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.

Data Analytics and Decision Support for Cybersecurity

Download Data Analytics and Decision Support for Cybersecurity PDF Online Free

Author :
Release : 2017-08-01
Genre : Computers
Kind :
Book Rating : 397/5 ( reviews)

Data Analytics and Decision Support for Cybersecurity - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics and Decision Support for Cybersecurity write by Iván Palomares Carrascosa. This book was released on 2017-08-01. Data Analytics and Decision Support for Cybersecurity available in PDF, EPUB and Kindle. The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Evolving Insider Threat Detection Using Stream Analytics and Big Data

Download Evolving Insider Threat Detection Using Stream Analytics and Big Data PDF Online Free

Author :
Release : 2013
Genre : Corporations
Kind :
Book Rating : /5 ( reviews)

Evolving Insider Threat Detection Using Stream Analytics and Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolving Insider Threat Detection Using Stream Analytics and Big Data write by Pallabi Parveen. This book was released on 2013. Evolving Insider Threat Detection Using Stream Analytics and Big Data available in PDF, EPUB and Kindle. We could extend the work in the following directions. First, we will build a full fledge system to capture user input as stream using apache flume and store it on the Hadoop distributed file system (HDFS) and then apply our approaches. Next, we will apply MapReduce to calculate edit distance between patterns for a particular user's command sequence data.