NETWORK SECURITY THROUGH DATA ANALYSIS

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Network Security Through Data Analysis

Author : Michael Collins
ISBN : 9781491962817
Genre : Computers
File Size : 72.89 MB
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Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics. You’ll learn how to: Use sensors to collect network, service, host, and active domain data Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect Detect unusual phenomena through exploratory data analysis (EDA), using visualization and mathematical techniques Analyze text data, traffic behavior, and communications mistakes Identify significant structures in your network with graph analysis Examine insider threat data and acquire threat intelligence Map your network and identify significant hosts within it Work with operations to develop defenses and analysis techniques
Category: Computers

Network Security Through Data Analysis

Author : Michael Collins
ISBN : 9781449357887
Genre : Computers
File Size : 63.68 MB
Format : PDF, ePub, Docs
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Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to protect and improve it. Divided into three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. It’s ideal for network administrators and operational security analysts familiar with scripting. Explore network, host, and service sensors for capturing security data Store data traffic with relational databases, graph databases, Redis, and Hadoop Use SiLK, the R language, and other tools for analysis and visualization Detect unusual phenomena through Exploratory Data Analysis (EDA) Identify significant structures in networks with graph analysis Determine the traffic that’s crossing service ports in a network Examine traffic volume and behavior to spot DDoS and database raids Get a step-by-step process for network mapping and inventory
Category: Computers

Analysis Of Network Security Through Vapt And Network Monitoring

Author : Ashad Ullah Qureshi
ISBN :
Genre : Education
File Size : 28.59 MB
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Communication of confidential data over the internet is becoming more frequent every day. Individuals and organizations are sending their confidential data electronically. It is also common that hackers target these networks. In current times, protecting the data, software and hardware from viruses is, now more than ever, a need and not just a concern. What you need to know about networks these days? How security is implemented to ensure a network? How is security managed? In this paper we will try to address the above questions and give an idea of where we are now standing with the security of the network. The security of network where confidentially is concerned. One needs to implement the high and security to avoid any uncertainly and to ensure high reliability of the network. In his dissertation the main focus will be on application and standards that are used and being deployed. The main problem of network security is attacks like DOOS, Viruses etc. For this we need to investigate & maintain the present & future vulnerabilities. Here, we will analyze the network protocols probable security threats and vulnerabilities, security attacks & there solution through vulnerability assessment penetration techniques such as: a) Cryptography b) PGP c) MIMB d) IPSEC e) SSC f) SET
Category: Education

Data Science For Cyber Security

Author : Adams Niall M
ISBN : 9781786345653
Genre : Computers
File Size : 46.17 MB
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Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.
Category: Computers

Dynamic Networks And Cyber Security

Author : Niall Adams
ISBN : 9781786340764
Genre :
File Size : 53.18 MB
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As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behaviour through the lens of such data is becoming an increasingly prominent issue. This collection of papers by leading researchers and practitioners synthesises cutting-edge work in the analysis of dynamic networks and statistical aspects of cyber security. The book is structured in such a way as to keep security application at the forefront of discussions. It offers readers easy access into the area of data analysis for complex cyber-security applications, with a particular focus on temporal and network aspects. Chapters can be read as standalone sections and provide rich reviews of the latest research within the field of cyber-security. Academic readers will benefit from state-of-the-art descriptions of new methodologies and their extension to real practical problems while industry professionals will appreciate access to more advanced methodology than ever before. Contents:Network Attacks and the Data They Affect (M Morgan, J Sexton, J Neil, A Ricciardi & J Theimer)Cyber-Security Data Sources for Dynamic Network Research (A D Kent)Modelling User Behaviour in a Network Using Computer Event Logs (M J M Turcotte, N A Heard & A D Kent)Network Services as Risk Factors: A Genetic Epidemiology Approach to Cyber-Security (S Gil)Community Detection and Role Identification in Directed Networks: Understanding the Twitter Network of the Care.Data Debate (B Amor, S Vuik, R Callahan, A Darzi, S N Yaliraki & M Barahona)Anomaly Detection for Cyber Security Applications (P Rubin-Delanchy, D J Lawson & N A Heard)Exponential Random Graph Modelling of Static and Dynamic Social Networks (A Caimo)Hierarchical Dynamic Walks (A V Mantzaris, P Grindrod & D J Higham)Temporal Reachability in Dynamic Networks (A Hagberg, N Lemons & S Misra) Readership: Researchers and practitioners in dynamic network analysis and cyber-security. Key Features:Detailed descriptions of the behaviour of attackersDiscussions of new public domain data sources, including data quality issuesA collection of papers introducing novel methodology for cyber-data analysis
Category:

In Network Security Analytics And Compliance Monitoring

Author : Arun Raghuramu
ISBN : 0355763338
Genre :
File Size : 79.38 MB
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Security compromises affecting millions of users and large organizations have come to the limelight in recent years. In addition, the explosion of smartphone use, the rapid growth of IoT (Internet of Things) technologies and the changing landscape of network architectures have created an ever widening attack surface for malicious adversaries. This dissertation focuses on an in-depth analysis of security threats in operational networks and utilizes empirical insights and trusted computing methods to design novel in-network security and compliance monitoring architectures. We begin with a characterization study of security threats seen in a large US-based cellular network with the aim to understand the current landscape of mobile malicious traffic. We combine and analyze data from multiple disparate data sources using analytics methods to garner insights about threats affecting over two million users. Our study based on cellular network packet traces and security event logs reveals a drastic increase in the penetration of mobile threats. Further, we perform an analysis of the aggregate network footprints of malicious and benign sites accessed by devices in the cellular network in this study. We analyze if there are distinct network access patterns which can be used to differentiate malicious and benign hosts. Our results from this work demonstrate that such separation could indeed be possible and a deeper analysis of this problem is warranted. In our follow-up study, we perform further analysis of malicious wireless traffic with a focus on detection of malicious domains. We comprehensively explore a large feature space of network and HTTP header based statistical features by performing big-data mining over a traffic trace from an operational WiFi network in this study. We show through our analysis that device-level and network-wide aggregations of network traffic statistics are both very effective in the detection of malicious domains. We also show that network traffic features perform better than features extracted from the HTTP header for screening malicious domains. We utilize these insights to create an effective, lightweight, first-stage screening filter for malicious domains built using network statistical features. The emergence of SDN (Software Defined Networks) introduces the possibility of performing in-network detection of threats utilizing empirical insights into the nature of malicious network traffic. We implement and evaluate the feasibility of a piggybacking based in-network intrusion prevention system called SDN-Defense. We demonstrate using real wireless traffic traces that up to 90% of malicious flows can be detected using just the initial four packets offloaded to SDN-Defense. We also provide a characterization of the cost-benefit trade-offs involved in deploying such a system on the SDN controller. A complementary trend to SDN is the adoption of Network Functions Virtualization (NFV). NFV enables Telco operators to be agile and flexibly scale their network service deployments. However, it makes it difficult to manage and monitor capacity and usage rights compliance of Virtual Network Functions (VNFs). Traditional usage rights compliance enforcement methods such as those based on in-person audits and dynamic issuing of keys inhibit the operators from truly leveraging NFV flexibility and lack trust guarantees. These mechanisms are limiting NFV deployments due to associated scalability, trust issues and management overhead. We address this emerging problem by designing a novel trusted framework for NFV usage rights compliance. This new architecture named Metered Boot provides a way to realize trusted, and scalable, capacity based usage rights compliance for NFV services.
Category:

Ensuring Network Security Through The Use Of The Honeypot Technique

Author : Rajalakshmi Selvaraj
ISBN : 9781527544086
Genre : Computers
File Size : 47.41 MB
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In modern technology networks, security plays an important role in safeguarding data. Detecting the threats posed by hackers, and capturing the data about such attacks are known as the virtual honeypot. This book details the process, highlighting how to confuse the attackers and to direct them onto the wrong path.
Category: Computers

Network Security Attacks And Countermeasures

Author : G., Dileep Kumar
ISBN : 9781466687622
Genre : Computers
File Size : 81.42 MB
Format : PDF
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Our world is increasingly driven by sophisticated networks of advanced computing technology, and the basic operation of everyday society is becoming increasingly vulnerable to those networks’ shortcomings. The implementation and upkeep of a strong network defense is a substantial challenge, beset not only by economic disincentives, but also by an inherent logistical bias that grants advantage to attackers. Network Security Attacks and Countermeasures discusses the security and optimization of computer networks for use in a variety of disciplines and fields. Touching on such matters as mobile and VPN security, IP spoofing, and intrusion detection, this edited collection emboldens the efforts of researchers, academics, and network administrators working in both the public and private sectors. This edited compilation includes chapters covering topics such as attacks and countermeasures, mobile wireless networking, intrusion detection systems, next-generation firewalls, and more.
Category: Computers

Cryptology And Network Security

Author : Dimitris Gritzalis
ISBN : 9783319122809
Genre : Computers
File Size : 83.38 MB
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This book constitutes the refereed proceedings of the 13th International Conference on Cryptology and Network Security, CANS 2014, held in Heraklion, Creete, Greece, in October 2014. The 25 revised full papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from 86 submissions. The papers cover topics of interest such as encryption; cryptanalysis; malware analysis; and privacy and identification systems as well as various types of network protocol design and analysis work.
Category: Computers