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Techniques For Cyber Attack Comprehension Through Analysis Of Application Level Data


Techniques For Cyber Attack Comprehension Through Analysis Of Application Level Data
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Techniques For Cyber Attack Comprehension Through Analysis Of Application Level Data


Techniques For Cyber Attack Comprehension Through Analysis Of Application Level Data
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Author : Sunu Mathew
language : en
Publisher:
Release Date : 2009

Techniques For Cyber Attack Comprehension Through Analysis Of Application Level Data written by Sunu Mathew and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.


Malicious activity represents a credible and growing threat to the confidentiality, integrityand availability of information assets in modern computing environments. Intrusion detection, which studies the detection and mitigation of cyber-attacks, is a mature area of researchthat has led to the development of widely used applications called Intrusion Detection Systems(IDS). These IDSs typically focus on analyzing low-level system and network data (e.g., systemcalls, network packets) using rule-based and anomaly-based techniques to detect obviousmalicious activity such as probes (e.g., portscanning) and denial-of-service (DoS) attacks. However, with the evolution of computer systems, networks and the accompanying growth of theInternet and its user base, the nature of cyber-attacks has become more sophisticated.^Thereis an increasing prevalence of attacks that are multi-stage and goal oriented - the attacks arenot designed simply to take down a system and affect its availability, but may involve intrusionfollowed by actions that affect confidentiality and integrity (e.g., accessing unauthorized data)of the system or network in question. Several techniques for the detection of such attacks havebeen proposed in the literature, mainly as aids to forensic analysis (i.e., they are not online). There has also been a lack of in-depth study into recognizing the semantics of attack scenarioprogression. As a consequence, prior approaches have not been able to provide analysts withadequate awareness of evolving attacks which might enable timely mitigation. The thrust of this dissertation is the development of cyber-attack detection and comprehensiontechniques that focus on high-level application data (IDS events, logfile entries, userqueries etc.) as opposed to network packets and system calls.^By restricting analysis to high-leveldata, attack semantics are better captured and represented; this benefit is leveraged to provideimproved awareness of attacks. Online detection techniques using rule-based and learning-based approaches are developed that aim to provide security analysts with the means for attack recognition(when is an attack happening?) and comprehension (attack semantics). In the first part of this dissertation, attack scenario detection is approached from aSituation Awareness (SA) perspective. Events from IDS sensors are considered as atomic elementsthat define a situation (Level 1 SA) and a semantics-based attack modeling framework isused to understand the overall meaning conveyed by situation elements (Level 2 SA).^A rulebasedapproach to event correlation and suitable visualization tools enable effective comprehensionthat provides analysts with a predictive and mitigative capability (Level 3 SA).A learning-based approach to attack scenario comprehension in a distributed networkis the focus of the second part of the dissertation. Macro-level activity in a computernetwork is analyzed with a view to detecting abnormal behavior that may indicate possible maliciousactivity.^Events generated by multiple heterogeneous sensors such as IDSs and systemlogs are used to define a high-dimensional state vector representing overall activity; PrincipalComponent Analysis is used to learn characteristic patterns of activity and aid in anomaly detection. A suitable modeling framework and visualization techniques are also presented for thisapproach. In the final part of this dissertation, a very specific attack model in a specific applicationenvironment is analyzed - that of insider attacks against relational databases. A datacentricapproach that models queries based on the data returned by their execution, as opposed totheir SQL-expression syntax (syntax-centric), is the thrust of this work.^Various types of queryanomalies are analyzed from the data-centric viewpoint and efficient techniques for detectingpotential attacks are developed. The techniques that are presented as part of this dissertation are tested and validated with test and attack datasets generated in realistic environments. Attack detection through applicationdata analysis is found to offer significant benefits to the practice of cyber-security - easeof data handling and improved ability to capture the semantics of malicious activity are some ofthe important contributions.



Data Mining And Machine Learning In Cybersecurity


Data Mining And Machine Learning In Cybersecurity
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Author : Sumeet Dua
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Data Mining And Machine Learning In Cybersecurity written by Sumeet Dua and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.


With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible



Effective Model Based Systems Engineering


Effective Model Based Systems Engineering
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Author : John M. Borky
language : en
Publisher: Springer
Release Date : 2018-09-08

Effective Model Based Systems Engineering written by John M. Borky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-08 with Technology & Engineering categories.


This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.



Cyber Threat Intelligence


Cyber Threat Intelligence
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Author : Ali Dehghantanha
language : en
Publisher: Springer
Release Date : 2018-04-27

Cyber Threat Intelligence written by Ali Dehghantanha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Computers categories.


This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.



Emerging Trends In Ict Security


Emerging Trends In Ict Security
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Author : Leonidas Deligiannidis
language : en
Publisher: Elsevier Inc. Chapters
Release Date : 2013-11-06

Emerging Trends In Ict Security written by Leonidas Deligiannidis and has been published by Elsevier Inc. Chapters this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-06 with Computers categories.


Every day, people interact with numerous computer systems, networks, and services that require the exchange of sensitive data. However, the Internet is a highly distributed system operated by many different entities and as such should not be trusted by end users. Users, whether consumers or businesses, retain no control over how their information is routed among the many networks that comprise the Internet. Therefore, there is a strong need for cryptographic protocols to authenticate, verify trust, and establish a secure channel for exchanging data. This chapter presents a series of projects and demonstrations for systems and networking professionals who want to increase their comprehension of security concepts and protocols. The material presented here is derived from existing courses taught by the authors in the areas of cryptography, network security, and wireless security.



Android Malware


Android Malware
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Author : Xuxian Jiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-13

Android Malware written by Xuxian Jiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-13 with Computers categories.


Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pain for adopting users and organizations. In particular, the widespread presence of information-stealing applications and other types of mobile malware raises substantial security and privacy concerns. Android Malware presents a systematic view on state-of-the-art mobile malware that targets the popular Android mobile platform. Covering key topics like the Android malware history, malware behavior and classification, as well as, possible defense techniques.



Research Methods For Cyber Security


Research Methods For Cyber Security
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Author : Thomas W. Edgar
language : en
Publisher: Syngress
Release Date : 2017-04-19

Research Methods For Cyber Security written by Thomas W. Edgar and has been published by Syngress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-19 with Computers categories.


Research Methods for Cyber Security teaches scientific methods for generating impactful knowledge, validating theories, and adding critical rigor to the cyber security field. This book shows how to develop a research plan, beginning by starting research with a question, then offers an introduction to the broad range of useful research methods for cyber security research: observational, mathematical, experimental, and applied. Each research method chapter concludes with recommended outlines and suggested templates for submission to peer reviewed venues. This book concludes with information on cross-cutting issues within cyber security research. Cyber security research contends with numerous unique issues, such as an extremely fast environment evolution, adversarial behavior, and the merging of natural and social science phenomena. Research Methods for Cyber Security addresses these concerns and much more by teaching readers not only the process of science in the context of cyber security research, but providing assistance in execution of research as well. Presents research methods from a cyber security science perspective Catalyzes the rigorous research necessary to propel the cyber security field forward Provides a guided method selection for the type of research being conducted, presented in the context of real-world usage



Multisensor Multisource Information Fusion Architectures Algorithms And Applications


Multisensor Multisource Information Fusion Architectures Algorithms And Applications
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Author :
language : en
Publisher:
Release Date : 2006

Multisensor Multisource Information Fusion Architectures Algorithms And Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer algorithms categories.




Surreptitious Software


Surreptitious Software
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Author : Jasvir Nagra
language : en
Publisher: Pearson Education
Release Date : 2009-07-24

Surreptitious Software written by Jasvir Nagra and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-24 with Computers categories.


“This book gives thorough, scholarly coverage of an area of growing importance in computer security and is a ‘must have’ for every researcher, student, and practicing professional in software protection.” —Mikhail Atallah, Distinguished Professor of Computer Science at Purdue University Theory, Techniques, and Tools for Fighting Software Piracy, Tampering, and Malicious Reverse Engineering The last decade has seen significant progress in the development of techniques for resisting software piracy and tampering. These techniques are indispensable for software developers seeking to protect vital intellectual property. Surreptitious Software is the first authoritative, comprehensive resource for researchers, developers, and students who want to understand these approaches, the level of security they afford, and the performance penalty they incur. Christian Collberg and Jasvir Nagra bring together techniques drawn from related areas of computer science, including cryptography, steganography, watermarking, software metrics, reverse engineering, and compiler optimization. Using extensive sample code, they show readers how to implement protection schemes ranging from code obfuscation and software fingerprinting to tamperproofing and birthmarking, and discuss the theoretical and practical limitations of these techniques. Coverage includes Mastering techniques that both attackers and defenders use to analyze programs Using code obfuscation to make software harder to analyze and understand Fingerprinting software to identify its author and to trace software pirates Tamperproofing software using guards that detect and respond to illegal modifications of code and data Strengthening content protection through dynamic watermarking and dynamic obfuscation Detecting code theft via software similarity analysis and birthmarking algorithms Using hardware techniques to defend software and media against piracy and tampering Detecting software tampering in distributed system Understanding the theoretical limits of code obfuscation



Malware Detection


Malware Detection
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Author : Mihai Christodorescu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-06

Malware Detection written by Mihai Christodorescu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Computers categories.


This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.