Mitigation Of Insider Attacks For Data Security In Distributed Computing Environments

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Mitigation Of Insider Attacks For Data Security In Distributed Computing Environments

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Author : Santosh Aditham
language : en
Publisher:
Release Date : 2017

Mitigation Of Insider Attacks For Data Security In Distributed Computing Environments written by Santosh Aditham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Big data categories.

In big data systems, the infrastructure is such that large amounts of data are hosted away from the users. Information security is a major challenge in such systems. From the customers perspective, one of the big risks in adopting big data systems is in trusting the service provider who designs and owns the infrastructure, with data security and privacy. However, big data frameworks typically focus on performance and the opportunity for including enhanced security measures is limited. In this dissertation, the problem of mitigating insider attacks is extensively investigated and several static and dynamic run-time techniques are developed. The proposed techniques are targeted at big data systems but applicable to any data system in general. First, a framework is developed to host the proposed security techniques and integrate with the underlying distributed computing environment. We endorse the idea of deploying this framework on special purpose hardware and a basic model of the software architecture for such security coprocessors is presented. Then, a set of compile-time and run-time techniques are proposed to protect user data from the perpetrators. These techniques target detection of insider attacks that exploit data and infrastructure. The compile-time intrusion detection techniques analyze the control flow by disassembling program binaries while the run-time techniques analyze the memory access patterns of processes running on the system. The proposed techniques have been implemented as prototypes and extensively tested using big data applications. Experiments were conducted on big data frameworks such as Hadoop and Spark using cloud-based services. Experimental results indicate that the proposed techniques successfully detect insider attacks in the context of data loss, data degradation, data exposure and infrastructure degradation.

Detection And Mitigation Of Insider Attacks In A Cloud Infrastructure Emerging Research And Opportunities

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Author : Gunasekhar, T.
language : en
Publisher: IGI Global
Release Date : 2019-02-15

Detection And Mitigation Of Insider Attacks In A Cloud Infrastructure Emerging Research And Opportunities written by Gunasekhar, T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-15 with Computers categories.

Businesses constantly face online hacking threats or security breaches in their online mainframe that expose sensitive information to the wrong audience. Companies look to store their data in a separate location, distancing the availability of the information and reducing the risk of data breaches. Modern organizations need to remain vigilant against insider attacks, cloud computing risks, and security flaws within their mainframe. Detection and Mitigation of Insider Attacks in a Cloud Infrastructure: Emerging Research and Opportunities is an essential reference source that discusses maintaining a secure management of sensitive data, and intellectual property and provides a robust security algorithm on consumer data. Featuring research on topics such as public cryptography, security principles, and trustworthy computing, this book is ideally designed for IT professionals, business managers, researchers, students, and professionals seeking coverage on preventing and detecting the insider attacks using trusted cloud computing techniques.

Data Protection From Insider Threats

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Author : Elisa Bertino
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Data Protection From Insider Threats written by Elisa Bertino and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.

As data represent a key asset for today's organizations, the problem of how to protect this data from theft and misuse is at the forefront of these organizations' minds. Even though today several data security techniques are available to protect data and computing infrastructures, many such techniques -- such as firewalls and network security tools -- are unable to protect data from attacks posed by those working on an organization's "inside." These "insiders" usually have authorized access to relevant information systems, making it extremely challenging to block the misuse of information while still allowing them to do their jobs. This book discusses several techniques that can provide effective protection against attacks posed by people working on the inside of an organization. Chapter One introduces the notion of insider threat and reports some data about data breaches due to insider threats. Chapter Two covers authentication and access control techniques, and Chapter Three shows how these general security techniques can be extended and used in the context of protection from insider threats. Chapter Four addresses anomaly detection techniques that are used to determine anomalies in data accesses by insiders. These anomalies are often indicative of potential insider data attacks and therefore play an important role in protection from these attacks. Security information and event management (SIEM) tools and fine-grained auditing are discussed in Chapter Five. These tools aim at collecting, analyzing, and correlating -- in real-time -- any information and event that may be relevant for the security of an organization. As such, they can be a key element in finding a solution to such undesirable insider threats. Chapter Six goes on to provide a survey of techniques for separation-of-duty (SoD). SoD is an important principle that, when implemented in systems and tools, can strengthen data protection from malicious insiders. However, to date, very few approaches have been proposed for implementing SoD in systems. In Chapter Seven, a short survey of a commercial product is presented, which provides different techniques for protection from malicious users with system privileges -- such as a DBA in database management systems. Finally, in Chapter Eight, the book concludes with a few remarks and additional research directions. Table of Contents: Introduction / Authentication / Access Control / Anomaly Detection / Security Information and Event Management and Auditing / Separation of Duty / Case Study: Oracle Database Vault / Conclusion

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.

Insider Threats In Cyber Security

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Author : Christian W. Probst
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-28

Insider Threats In Cyber Security written by Christian W. Probst 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 2010-07-28 with Computers categories.

Insider Threats in Cyber Security is a cutting edge text presenting IT and non-IT facets of insider threats together. This volume brings together a critical mass of well-established worldwide researchers, and provides a unique multidisciplinary overview. Monica van Huystee, Senior Policy Advisor at MCI, Ontario, Canada comments "The book will be a must read, so of course I’ll need a copy." Insider Threats in Cyber Security covers all aspects of insider threats, from motivation to mitigation. It includes how to monitor insider threats (and what to monitor for), how to mitigate insider threats, and related topics and case studies. Insider Threats in Cyber Security is intended for a professional audience composed of the military, government policy makers and banking; financing companies focusing on the Secure Cyberspace industry. This book is also suitable for advanced-level students and researchers in computer science as a secondary text or reference book.

Detection And Mitigation Of Insider Attacks In A Cloud Infrastructure

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Author : T. Gunasekhar
language : en
Publisher: Information Science Reference
Release Date : 2019

Detection And Mitigation Of Insider Attacks In A Cloud Infrastructure written by T. Gunasekhar and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.

Businesses constantly face online hacking threats or security breaches in their online mainframe that expose sensitive information to the wrong audience. Companies look to store their data in a separate location, distancing the availability of the information and reducing the risk of data breaches. Modern organizations need to remain vigilant against insider attacks, cloud computing risks, and security flaws within their mainframe. Detection and Mitigation of Insider Attacks in a Cloud Infrastructure: Emerging Research and Opportunities is an essential reference source that discusses maintaining a secure management of sensitive data, and intellectual property and provides a robust security algorithm on consumer data. Featuring research on topics such as public cryptography, security principles, and trustworthy computing, this book is ideally designed for IT professionals, business managers, researchers, students, and professionals seeking coverage on preventing and detecting the insider attacks using trusted cloud computing techniques.

Insider Attack And Cyber Security

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Author : Salvatore J. Stolfo
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-29

Insider Attack And Cyber Security written by Salvatore J. Stolfo 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 2008-08-29 with Computers categories.

This book defines the nature and scope of insider problems as viewed by the financial industry. This edited volume is based on the first workshop on Insider Attack and Cyber Security, IACS 2007. The workshop was a joint effort from the Information Security Departments of Columbia University and Dartmouth College. The book sets an agenda for an ongoing research initiative to solve one of the most vexing problems encountered in security, and a range of topics from critical IT infrastructure to insider threats. In some ways, the insider problem is the ultimate security problem.

Cyber Security And Threats Concepts Methodologies Tools And Applications

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-05-04

Cyber Security And Threats Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-04 with Computers categories.

Cyber security has become a topic of concern over the past decade as private industry, public administration, commerce, and communication have gained a greater online presence. As many individual and organizational activities continue to evolve in the digital sphere, new vulnerabilities arise. Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on new methodologies and applications in the areas of digital security and threats. Including innovative studies on cloud security, online threat protection, and cryptography, this multi-volume book is an ideal source for IT specialists, administrators, researchers, and students interested in uncovering new ways to thwart cyber breaches and protect sensitive digital information.

Workplace Violence Prevention And Response Guideline

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Author : ASIS International
language : en
Publisher:
Release Date : 2011

Workplace Violence Prevention And Response Guideline written by ASIS International and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Violence in the workplace categories.

Cloud Security Concepts Methodologies Tools And Applications

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2019-04-01

Cloud Security Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-01 with Computers categories.

Cloud computing has experienced explosive growth and is expected to continue to rise in popularity as new services and applications become available. As with any new technology, security issues continue to be a concern, and developing effective methods to protect sensitive information and data on the cloud is imperative. Cloud Security: Concepts, Methodologies, Tools, and Applications explores the difficulties and challenges of securing user data and information on cloud platforms. It also examines the current approaches to cloud-based technologies and assesses the possibilities for future advancements in this field. Highlighting a range of topics such as cloud forensics, information privacy, and standardization and security in the cloud, this multi-volume book is ideally designed for IT specialists, web designers, computer engineers, software developers, academicians, researchers, and graduate-level students interested in cloud computing concepts and security.