OSI Reference Model--The ISO Model of Architecture for Open Systems Interconnection

Zimmermann, Hubert

doi:10.1109/tcom.1980.1094702

Cited by 1,118 publications

(405 citation statements)

References 4 publications

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“…A loose link between two nodes is still reliable but it does not guarantee the FIFO ordering; rather some messages take more time than others. A wireless link provides synchronous transmission of messages, but simultaneous messages may be lost if they are within reach of each other (message 1 [26], OSI model for short. This is considered as one of the standard models for describing networks and applications.…”

Section: Modeling Of Network Informationmentioning

confidence: 99%

An Object-Oriented Component Model for Heterogeneous Nets

Johnsen

Owe

Björk

et al. 2008

Formal Methods for Components and Objects

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Abstract. Many distributed applications can be understood in terms of components interacting in an open environment. This interaction is not always uniform as the network may consist of subnets with different quality: Some components are tightly connected with order preservation of communicated messages, whereas others are more loosely connected such that overtaking of messages and even message loss may occur. Furthermore, certain components may communicate over wireless networks, where sending and receiving must be synchronized, since the wireless medium cannot buffer messages. This paper proposes a formal framework for such systems, which allows high-level modeling and formal analysis of distributed systems where interaction is managed by a variety of nets, including wireless ones. We introduce a simple modeling language for objectoriented components, extending the Creol language. An operational semantics for the language is defined in rewriting logic, which directly provides an executable implementation in Maude.

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Section: Modeling Of Network Informationmentioning

confidence: 99%

An Object-Oriented Component Model for Heterogeneous Nets

Johnsen

Owe

Björk

et al. 2008

Formal Methods for Components and Objects

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“…A common model that underlies most networks is called the Open Systems Interconnection Basic Reference model (OSI model) [60]. It defines 7 network abstraction layers (Physical, Data link, Network, Transport, Session, Presentation and Application layer), and also contains a set of protocols.…”

Section: Current Network Technologymentioning

confidence: 99%

Autonomous Robotic Systems

Zhou¹,

Maravall²,

Ruan³

2003

Studies in Fuzziness and Soft Computing

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“…At the network and transport layers of the Internet [130], port scans are often a precursor to other network-level attacks. A port scan is an automatically-generated sequence of packets sent to a target network in order to probe and enumerate its connected hosts.…”

Section: Repetition-based Automationmentioning

confidence: 99%

“…In brief, the principle states that network and application protocol features are only justified at the lower layers of the network system if they optimize network-wide performance, all other complexity should be in the end hosts. This principle yields the lightweight and stateless Network Layer (Layer 3 in the OSI model [130]) which has allowed the Internet to become the dynamic patchwork of innovative applications that it is today. Unfortunately, the resulting properties of the Internet that make novel network applications possible without reengineering the network are the very same properties that facilitate adversarial automation.…”

Section: Root Causes Of Adversarial Automationmentioning

confidence: 99%

Addressing Automated Adversaries of Network Applications

Feng

Kaiser

2000

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The Internet supports a perpetually evolving patchwork of network services and applications. Popular applications include the World Wide Web, online commerce, online banking, email, instant messaging, multimedia streaming, and online video games. Practically all networked applications have a common objective: to directly or indirectly process requests generated by humans. Some users employ automation to establish an unfair advantage over non-automated users. The perceived and substantive damages that automated, adversarial users inflict on an application degrade its enjoyment and usability by legitimate users, and result in reputation and revenue loss for the application's service provider.This dissertation examines three challenges critical to addressing the undesirable automation of networked applications. The first challenge explores individual methods that detect various automated behaviors. Detection methods range from observing unusual network-level request traffic to sensing anomalous client operation at the application-level. Since many detection methods are not individually conclusive, the second challenge investigates how to combine detection methods to accurately identify automated adversaries. The third challenge considers how to leverage the available knowledge to disincentivize adversary automation by nullifying their advantage over legitimate users.The thesis of this dissertation is that: there exist methods to detect automated behaviors with which an application's service provider can identify and then systematically disincentivize automated adversaries. This dissertation evaluates this thesis using research performed on two network applications that have different access to the client software: Web-based services and multiplayer online games. I would like to thank my advisor, Professor Wu-chang Feng, for his guidance throughout the course of this work. When I was stuck on a problem, his valuable advice always offered me a new perspective from which to approach the problem.From providing me with a framework for my research to reading and patiently editing my papers, each of his many contributions nudged me incrementally closer to completing my dissertation. I would also like to express my appreciation to

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OSI Reference Model--The ISO Model of Architecture for Open Systems Interconnection

Cited by 1,118 publications

References 4 publications

An Object-Oriented Component Model for Heterogeneous Nets

An Object-Oriented Component Model for Heterogeneous Nets

Autonomous Robotic Systems

Addressing Automated Adversaries of Network Applications

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