Data Mining Tools for Malware DetectionData Mining Tools for Malware Detection



Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects.

Author: Mehedy Masud

Publisher: CRC Press

ISBN: 9781439854556

Category:

Page: 450

View: 998

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware d

Data Mining Intrusion Detection Information Assurance and Data Networks Security Data Mining Intrusion Detection Information Assurance and Data Networks Security



As shown in Figure 3 , bot army development is started by the development of the
bot software and its release into the Internet . ... The propagation vector for a bot
is a malware tool like a virus , worm , e - mail , or web site . From the point of ...

Author:

Publisher:

ISBN: UOM:39015047293280

Category:

Page:

View: 312

Analyzing and Securing Social NetworksAnalyzing and Securing Social Networks



35.5 CLOUD-BASED MALWARE DETECTION FOR EVOLVING DATA STREAMS
35.5.1 ClouD CoMpuTing for ... Owing to the need for near real-time performance
of the malware detection tools, we have developed our data mining tool in the ...

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 9781482243284

Category:

Page: 574

View: 987

Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technologies that ensure the privacy of the participants of the network as well as provide controlled access to the information posted and exchanged by the participants. The authors explore security and privacy issues for social media systems, analyze such systems, and discuss prototypes they have developed for social media systems whose data are represented using semantic web technologies. These experimental systems have been developed at The University of Texas at Dallas. The material in this book, together with the numerous references listed in each chapter, have been used for a graduate-level course at The University of Texas at Dallas on analyzing and securing social media. Several experimental systems developed by graduate students are also provided. The book is divided into nine main sections: (1) supporting technologies, (2) basics of analyzing and securing social networks, (3) the authors’ design and implementation of various social network analytics tools, (4) privacy aspects of social networks, (5) access control and inference control for social networks, (6) experimental systems designed or developed by the authors on analyzing and securing social networks, (7) social media application systems developed by the authors, (8) secure social media systems developed by the authors, and (9) some of the authors’ exploratory work and further directions.

Big Data Analytics with Applications in Insider Threat DetectionBig Data Analytics with Applications in Insider Threat Detection



These include tools for email worm detection, malicious code detection, buffer
overflow detection, and botnet detection, ... malware detection and showed the
significant improvement we can get by using big data analytics versus data
mining.

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 9781351645768

Category:

Page: 544

View: 540

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.

Wireless Channel Modeling and Malware Detection Using Statistical and Information theoretic ToolsWireless Channel Modeling and Malware Detection Using Statistical and Information theoretic Tools



... vector machines for pattern recognition , ” Data Mining and Knowledge
Discovery , vol . 2 , no . 2 , pp . 121- 167 ... W32 / Forbot - FU , [ 51 ] Sophos Virus
Info , http://www.sophos.com/virusinfo/analyses/w32forbotfu.html . [ 52 ] W32 /
Sdbot ...

Author: Syed Ali Khayam

Publisher:

ISBN: MSU:31293028455578

Category:

Page: 396

View: 531

Data Mining and Analysis in the Engineering FieldData Mining and Analysis in the Engineering Field



With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.

Author: Bhatnagar, Vishal

Publisher: IGI Global

ISBN: 9781466660878

Category:

Page: 405

View: 647

Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization. Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.

Design and Implementation of Data Mining ToolsDesign and Implementation of Data Mining Tools



Data mining can be applied for multimedia applications including video analysis
and image classification. Finally, data mining can be used in security applications
such as suspicious event detection as well as detecting malicious software.

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 9781420045918

Category:

Page: 272

View: 658

Focusing on three applications of data mining, Design and Implementation of Data Mining Tools explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Mainly based on the authors' own research work, the book takes a practical approach to the subject.The first part of the boo

Data Warehousing and Data Mining Techniques for Cyber SecurityData Warehousing and Data Mining Techniques for Cyber Security



Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.

Author: Anoop Singhal

Publisher: Springer Science & Business Media

ISBN: 9780387476537

Category:

Page: 159

View: 566

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.

Developing and Securing the CloudDeveloping and Securing the Cloud



Reviewing recent developments in cloud computing, the book illustrates the essential concepts, issues, and challenges in developing and securing today’s cloud computing platforms and applications.

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 9781439862919

Category:

Page: 730

View: 731

Although the use of cloud computing platforms and applications has expanded rapidly, most books on the subject focus on high-level concepts. There has long been a need for a book that provides detailed guidance on how to develop secure clouds. Filling this void, Developing and Securing the Cloud provides a comprehensive overview of cloud computing technology. Supplying step-by-step instruction on how to develop and secure cloud computing platforms and web services, it includes an easy-to-understand, basic-level overview of cloud computing and its supporting technologies. Presenting a framework for secure cloud computing development, the book describes supporting technologies for the cloud such as web services and security. It details the various layers of the cloud computing framework, including the virtual machine monitor and hypervisor, cloud data storage, cloud data management, and virtual network monitor. It also provides several examples of cloud products and prototypes, including private, public, and U.S. government clouds. Reviewing recent developments in cloud computing, the book illustrates the essential concepts, issues, and challenges in developing and securing today’s cloud computing platforms and applications. It also examines prototypes built on experimental cloud computing systems that the author and her team have developed at the University of Texas at Dallas. This diverse reference is suitable for those in industry, government, and academia. Technologists will develop the understanding required to select the appropriate tools for particular cloud applications. Developers will discover alternative designs for cloud development, and managers will understand if it’s best to build their own clouds or contract them out.

Social Implications of Data Mining and Information PrivacySocial Implications of Data Mining and Information Privacy



Many anti - virus programs will look for spyware , and numerous specialized anti -
spyware software is available as well . ... The most accurate approach to
detection is signatures ( unique characteristics ) developed from careful
examination of ...

Author: Ephrem Eyob

Publisher: IGI Global

ISBN: UOM:39015079149152

Category:

Page: 323

View: 403

Examines emerging issues and solutions in data mining and the influence of political and socioeconomic factors. Also covers problems with applicable laws governing such issues.

Investigative Data Mining for Security and Criminal DetectionInvestigative Data Mining for Security and Criminal Detection



Anomaly detection techniques assume that all intrusive activities are necessarily
anomalous . ... This means that these systems are not unlike virus - detection
systems — they can detect many or all known attack patterns , but they are of little
use for as yet unknown attack methods . ... and number , new software tools and
services for analyzing networks attacks , known as IDSs , are being developed .

Author: Jesus Mena

Publisher: Butterworth-Heinemann

ISBN: 0750676132

Category:

Page: 452

View: 479

Publisher Description

Data Mining with Neural NetworksData Mining with Neural Networks



If you want to build Commander Data , the personable android on the “ Star Trek :
The Next Generation ” show , then you are still talking fiction . Neural ... The
availability of commercial neural network development tools has increased the
number of fielded applications . ... Power demand prediction Computer virus
detection Speech recognition Market price estimation Energy Health Utility
Manufacturing ...

Author: Joseph P. Bigus

Publisher: McGraw-Hill Companies

ISBN: STANFORD:36105017337887

Category:

Page: 220

View: 287

readers will find concrete implementation strategies, reinforced with real-world business examples and a minimum of formulas, and case studies drawn from a broad range of industries. The book illustrates the popular data mining functions of classification, clustering, modeling, and time-series forecasting--through examples developed using the IBM Neural Network Utility.

Data Warehousing and MiningData Warehousing and Mining



Although technology has been largely secured by advancing software and
technology for virus detection , as well as en / decryption of information to ensure
the security of business processes , Johnson ( 1997 ) noted that technology could
 ...

Author: John Wang

Publisher:

ISBN: 1599049511

Category:

Page: 3719

View: 537

"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.

Proceedings of the ACM Workshop on Visualization and Data Mining for Computer SecurityProceedings of the ACM Workshop on Visualization and Data Mining for Computer Security



0 ( External Port ot External IP to Internal IP to Internal Port ) knowing the attack
tool in use , the network administrator ... Stealthy attacks that take advantage of
weaknesses in the TCP protocol , such as the SYN scan , still need to send ...
This evidence might prove useful with such tasks as quickly estimating if two
malicious software applications were created by the same person or same
malware toolkit .

Author:

Publisher:

ISBN: UOM:39015058775597

Category:

Page: 148

View: 474

Proceedings of the ACM Workshop on Survivable and Self Regenerative SystemsProceedings of the ACM Workshop on Survivable and Self Regenerative Systems



Virus scanners attempt to detect malicious software on the host , and security
patches are operating system updates to fix ... Recently , however , there has
been growing interest in the use of data mining techniques such as anomaly
detection ...

Author: Peng Liu

Publisher:

ISBN: PSU:000055327794

Category:

Page: 121

View: 623

Community BankerCommunity Banker



Banks should recommend Internet banking customers install current versions of
virus detection software , firewalls , and ... report writing Extensive data mining
capability • Custom documents Integrated HMDA / CRA reporting sound software
 ...

Author:

Publisher:

ISBN: NWU:35556035764349

Category:

Page:

View: 356

2001 IEEE Symposium on Security and Privacy2001 IEEE Symposium on Security and Privacy



Proceedings of the 6th International Computer Virus and Security Conference ,
1993 . ( 5 ) Cygnus . ... Static Analysis Virus Detection Tools for UNIX Systems .
Proceedings ... A Data Mining Framework for Building Intrusion Detection Models
.

Author:

Publisher: IEEE

ISBN: 0769510469

Category:

Page: 263

View: 140

Annotation Nineteen papers presented at the IEEE Symposium on Security and Privacy, held in May 2001 in Oakland, CA. The papers fall into the realms of tamper-resistance and cryptography; intrusion and anomaly detection; information flow; access control and trust management; cryptographic protocols; and trends in cryptography. The contributors represent academia and industry primarily in the US, but also in Switzerland, Germany, and Hong Kong. The proceedings are indexed by author but not by subject. c. Book News Inc.

AmLaw TechAmLaw Tech



Leasing / Financing Solutions for Capital Equipment and Software Information
Assurance SRA International 4300 Fair ... and tools , disaster recovery planning ,
intrusion detection systems , security awareness and training , virus detection ...
tools such as natural language processing ( NLP ) , text and data mining ,
multilingual applications , collaboration tools , advanced search , and portal
technologies .

Author:

Publisher:

ISBN: STANFORD:36105063858133

Category:

Page:

View: 329

Information Systems SecurityInformation Systems Security



Most of the commercial antivirus software fail to detect unknown and new
malicious code. In order to handle this problem generic virus detection is a viable
option. ... Keywords: Malicious code detection, n-grams, Data Mining, Episodes.

Author: Aditya Bagchi

Publisher: Springer Science & Business Media

ISBN: 9783540689621

Category:

Page: 382

View: 296

This book constitutes the refereed proceedings of the Second International Conference on Information Systems Security, ICISS 2006, held in Kolkata, India in December 2006. The 20 revised full papers and five short papers presented together with four invited papers and three ongoing project summaries were carefully reviewed and selected from 79 submissions. The papers discuss in depth the current state of the research and practice in information systems security.