Encrypted Network Traffic Analysis
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Encrypted Network Traffic Analysis
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Author : Aswani Kumar Cherukuri
language : en
Publisher: Springer Nature
Release Date :
Encrypted Network Traffic Analysis written by Aswani Kumar Cherukuri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Encrypted Network Traffic Analysis
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Author : Aswani Kumar Cherukuri
language : en
Publisher: Springer
Release Date : 2024-08-22
Encrypted Network Traffic Analysis written by Aswani Kumar Cherukuri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Computers categories.
This book provides a detailed study on sources of encrypted network traffic, methods and techniques for analyzing, classifying and detecting the encrypted traffic. The authors provide research findings and objectives in the first 5 chapters, on encrypted network traffic, protocols and applications of the encrypted network traffic. The authors also analyze the challenges and issues with encrypted network traffic. It systematically introduces the analysis and classification of encrypted traffic and methods in detecting the anomalies in encrypted traffic. The effects of traditional approaches of encrypted traffic, such as deep packet inspection and flow based approaches on various encrypted traffic applications for identifying attacks is discussed as well. This book presents intelligent techniques for analyzing the encrypted network traffic and includes case studies. The first chapter also provides fundamentals of network traffic analysis, anomalies in the network traffic, protocols for encrypted network traffic. The second chapter presents an overview of the challenges and issues with encrypted network traffic and the new threat vectors introduced by the encrypted network traffic. Chapter 3 provides details analyzing the encrypted network traffic and classification of various kinds of encrypted network traffic. Chapter 4 discusses techniques for detecting attacks against encrypted protocols and chapter 5 analyzes AI based approaches for anomaly detection. Researchers and professionals working in the related field of Encrypted Network Traffic will purchase this book as a reference. Advanced-level students majoring in computer science will also find this book to be a valuable resource.
Generating And Analyzing Encrypted Traffic Of Instant Messaging Applications
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Author : Zolboo Erdenebaatar
language : en
Publisher:
Release Date : 2023
Generating And Analyzing Encrypted Traffic Of Instant Messaging Applications written by Zolboo Erdenebaatar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Instant Messaging Applications (IMAs) are the primary communication tools for smartphone users. However, analyzing encrypted network traffic from IMAs poses challenges due to end-to-end encryption, user privacy, and dynamic port usage. Limited research exists on encrypted network traffic analysis of IMAs on mobile devices. This thesis proposes a comprehensive framework for generating and analyzing encrypted IMA traffic on mobile devices. The framework utilizes open-source tools to emulate user behavior and capture, filter and label resulting traffic on Android devices. It employs a data-driven approach using machine learning classification models to automatically extract features from network traffic and distinguish between different IMAs. Evaluation results show that it is possible to accurately identify different IMAs with high F1 scores. The thesis also evaluates the behavior of six popular IMAs and provides insights that could assist network operators and security experts to monitor and analyze network traffic effectively.
Preventing Encrypted Traffic Analysis
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Author : Nabil A. Schear
language : en
Publisher:
Release Date : 2011
Preventing Encrypted Traffic Analysis written by Nabil A. Schear and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Many existing encrypted Internet protocols leak information through packet sizes and timing. Though seemingly innocuous, prior work has shown that such leakage can be used to recover part or all of the plaintext being encrypted. The prevalence of encrypted protocols as the underpinning of such critical services as e-commerce, remote login, and anonymity networks and the increasing feasibility of attacks on these services represent a considerable risk to communications security. Existing mechanisms for preventing traffic analysis focus on re-routing and padding. These prevention techniques have considerable resource and overhead requirements. Furthermore, padding is easily detectable and, in some cases, can introduce its own vulnerabilities. To address these shortcomings, we propose embedding real traffic in synthetically generated encrypted cover traffic. Novel to our approach is our use of realistic network protocol behavior models to generate cover traffic. The observable traffic we generate also has the benefit of being indistinguishable from other real encrypted traffic further thwarting an adversary's ability to target attacks. In this dissertation, we introduce the design of a proxy system called TrafficMimic that implements realistic cover traffic tunneling and can be used alone or integrated with the Tor anonymity system. We describe the cover traffic generation process including the subtleties of implementing a secure traffic generator. We show that TrafficMimic cover traffic can fool a complex protocol classification attack with 91% of the accuracy of real traffic. TrafficMimic cover traffic is also not detected by a binary classification attack specifically designed to detect TrafficMimic. We evaluate the performance of tunneling with independent cover traffic models and find that they are comparable, and, in some cases, more efficient than generic constant-rate defenses. We then use simulation and analytic modeling to understand the performance of cover traffic tunneling more deeply. We find that we can take measurements from real or simulated traffic with no tunneling and use them to estimate parameters for an accurate analytic model of the performance impact of cover traffic tunneling. Once validated, we use this model to better understand how delay, bandwidth, tunnel slowdown, and stability affect cover traffic tunneling. Finally, we take the insights from our simulation study and develop several biasing techniques that we can use to match the cover traffic to the real traffic while simultaneously bounding external information leakage. We study these bias methods using simulation and evaluate their security using a Bayesian inference attack. We find that we can safely improve performance with biasing while preventing both traffic analysis and defense detection attacks. We then apply these biasing methods to the real TrafficMimic implementation and evaluate it on the Internet. We find that biasing can provide 3-5x improvement in bandwidth for bulk transfers and 2.5-9.5x speedup for Web browsing over tunneling without biasing.
Survey Of Encrypted Network Traffic Fingerprinting Techniques
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Author : Scott Jeffery
language : en
Publisher:
Release Date : 2020
Survey Of Encrypted Network Traffic Fingerprinting Techniques written by Scott Jeffery and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computer networks categories.
Inspecting network traffic has been a staple technique of Cybersecurity tools for many years. This ability to review packet contents as they traverse an organization's network is hindered by the ever increasing use of encrypted communications. Without the visibility of deep-packet inspection, automated systems are unable to determine if network connections pose a threat to organizational interests or if they are supporting necessary day-to-day interactions.One solution is a man-in-the-middle configuration, where an organization decrypts all traffic traversing its borders, however, this is cumbersome and computationally expensive as network speeds increase. This thesis aims to survey the current landscape of "in the dark" network traffic fingerprinting, where encrypted payloads remain opaque to automated analysis leaving only network flow, packet header, and inferred metadata available for traffic classification.
Accountability And Privacy In Network Security
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Author : Yuxiang Ma
language : en
Publisher: Springer Nature
Release Date : 2020-09-15
Accountability And Privacy In Network Security written by Yuxiang Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with Computers categories.
This book discusses accountability and privacy in network security from a technical perspective, providing a comprehensive overview of the latest research, as well as the current challenges and open issues. Further, it proposes a set of new and innovative solutions to balance privacy and accountability in networks in terms of their content, flow and service, using practical deep learning techniques for encrypted traffic analysis and focusing on the application of new technologies and concepts. These solutions take into account various key components (e.g. the in-network cache) in network architectures and adopt the emerging blockchain technique to ensure the security and scalability of the proposed architectures. In addition, the book examines in detail related studies on accountability and privacy, and validates the architectures using real-world datasets. Presenting secure and scalable solutions that can detect malicious behaviors in the network in a timely manner without compromising user privacy, the book offers a valuable resource for undergraduate and graduate students, researchers, and engineers working in the fields of network architecture and cybersecurity.
Enhancing Cybersecurity With Encrypted Traffic Fingerprinting
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Author : Khaled Mohammed Al-Naami
language : en
Publisher:
Release Date : 2017
Enhancing Cybersecurity With Encrypted Traffic Fingerprinting written by Khaled Mohammed Al-Naami and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computer security categories.
Recently, network traffic analysis and cyber deception have been increasingly used in various applications to protect people, information, and systems from major cyber threats. Network traffic fingerprinting is a traffic analysis attack which threatens web navigation privacy. It is a set of techniques used to discover patterns from a sequence of network packets generated while a user accesses different websites. Internet users (such as online activists or journalists) may wish to hide their identity and online activity to protect their privacy. Typically, an anonymity network is utilized for this purpose. These anonymity networks such as Tor (The Onion Router) provide layers of data encryption which poses a challenge to the traffic analysis techniques. Traffic fingerprinting studies have employed various traffic analysis and statistical techniques over anonymity networks. Most studies use a similar set of features including packet size, packet direction, total count of packets, and other summaries of different packets. More-over, various defense mechanisms have been proposed to counteract these feature selection processes, thereby reducing prediction accuracy. In this dissertation, we address the aforementioned challenges and present a novel method to extract characteristics from encrypted traffic by utilizing data dependencies that occur over sequential transmissions of network packets. In addition, we explore the temporal nature of encrypted traffic and introduce an adaptive model that considers changes in data content over time. We not only consider traditional learning techniques for prediction, but also use semantic vector space models (VSMs) of language where each word (packet) is represented as a real-valued vector. We also introduce a novel defense algorithm to counter the traffic fingerprinting attack. The defense uses sampling and mathematical optimization techniques to morph packet sequences and destroy traffic flow dependency patterns. Cyber deception has been shown to be a key ingredient in cyber warfare. Cyber security deception is the methodology followed by an organization to lure the adversary into a controlled and transparent environment for the purpose of protecting the organization, disinforming the attacker, and discovering zero-day threats. We extend our traffic fingerprinting work to the cyber deception domain and leverage recent advances in software deception to enhance Intrusion Detection Systems by feeding back attack traces into machine learning classifiers. We present a feature-rich attack classification approach to extract security-relevant network-and system-level characteristics from production servers hosting enterprise web applications.
An Analysis Of Two Layers Of Encryption To Protect Network Traffic
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Author : Ryan T. Ware
language : en
Publisher:
Release Date : 2010
An Analysis Of Two Layers Of Encryption To Protect Network Traffic written by Ryan T. Ware and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Architecture categories.
In this thesis, we attempt to analyze the effectiveness of defense-in-depth mechanisms. As an example of defense-indepth, we study two layers of encryption to protect network traffic. At a quick glance, two layers of encryption appear to provide some strong security benefits including increased host- and network-level security, increased cryptographic strength, and a backup layer of encryption. However, intuition and quick glances should not be relied upon in the field of Information Assurance. The intent of this thesis is to quantitatively show the increase in security the extra layer of encryption provides and to compare this information with the cost of the extra security. This thesis proposes two architectures with one layer of encryption and and several architectures with two layers of encryption. It quickly compares these architectures and then starts a more in-depth analysis of the best two-layer architecture using Fault Tree Analysis. The thesis presents the results from the study, provides some recommendations based on the results, and discusses future work in this field.
Security And Privacy In The Internet Of Things
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Author : Ali Ismail Awad
language : en
Publisher: John Wiley & Sons
Release Date : 2021-12-29
Security And Privacy In The Internet Of Things written by Ali Ismail Awad and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-29 with Technology & Engineering categories.
SECURITY AND PRIVACY IN THE INTERNET OF THINGS Provides the authoritative and up-to-date information required for securing IoT architecture and applications The vast amount of data generated by the Internet of Things (IoT) has made information and cyber security vital for not only personal privacy, but also for the sustainability of the IoT itself. Security and Privacy in the Internet of Things brings together high-quality research on IoT security models, architectures, techniques, and application domains. This concise yet comprehensive volume explores state-of-the-art mitigations in IoT security while addressing important security and privacy challenges across different IoT layers. The book provides timely coverage of IoT architecture, security technologies and mechanisms, and applications. The authors outline emerging trends in IoT security and privacy with a focus on areas such as smart environments and e-health. Topics include authentication and access control, attack detection and prevention, securing IoT through traffic modeling, human aspects in IoT security, and IoT hardware security. Presenting the current body of knowledge in a single volume, Security and Privacy in the Internet of Things: Discusses a broad range of IoT attacks and defense mechanisms Examines IoT security and privacy protocols and approaches Covers both the logical and physical security of IoT devices Addresses IoT security through network traffic modeling Describes privacy preserving techniques in smart cities Explores current threat and vulnerability analyses Security and Privacy in the Internet of Things: Architectures, Techniques, and Applications is essential reading for researchers, industry practitioners, and students involved in IoT security development and IoT systems deployment.
Practical Packet Analysis
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Author : Chris Sanders
language : en
Publisher: No Starch Press
Release Date : 2007
Practical Packet Analysis written by Chris Sanders and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Provides information on ways to use Wireshark to capture and analyze packets, covering such topics as building customized capture and display filters, graphing traffic patterns, and building statistics and reports.