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Enregistrement W2761002106 · doi:10.1002/nem.2010

Special issue on security for emerging open networking technologies

2017· article· en· W2761002106 sur OpenAlex
Carol Fung, Mohamed Faten Zhani, Weverton Cordeiro, Jérôme François

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Notice bibliographique

RevueInternational Journal of Network Management · 2017
Typearticle
Langueen
DomaineComputer Science
ThématiqueNetwork Security and Intrusion Detection
Établissements canadiensÉcole de Technologie Supérieure
Organismes subventionnairesnon disponible
Mots-clésComputer scienceComputer securityData science

Résumé

récupéré en direct d'OpenAlex

Emerging paradigms such as SDN, NFV, and programmable networks are reshaping the way networks are designed, deployed, and managed. The benefits are manifold, including an unprecedented flexibility for network operations and management, and a favourable environment for delivering innovative network applications and services. This paradigm shift brings however a multitude of security challenges that have to be addressed in order to provide secure, trustworthy, and privacy-preserving data communication and network services. The main goal of this special issue on Security for Emerging Open Networking Technologies is bringing together state-of-the-art research on the various security aspects related to next-generation networking paradigms. The submitted papers have been carefully peer-reviewed for technical quality, originality, impact, and relevance. Based on the reviews, 8 high-quality papers were selected for publication. All papers focus on how to properly address the security challenges mentioned earlier, in areas such as SDN, IoT, and Information-centric networking. The first paper “Trust Management in Cognitive Radio Networks: A Survey,” by Bennaceur et al, provides a comprehensive review about existing Trust and Reputation Management (TRM) techniques for cognitive radio networks. The authors expose existing classifications of TRM techniques, followed by a classification scheme that takes into account different TRM properties and approaches. In their paper “Design, Implementation and Performance Evaluation of Identity-based Cryptography in ONOS,” Lam et al designed, implemented, and evaluated an Identity-Based Cryptography (IBC) protocol to secure the East/West-bound intra-cluster communication of Open Networking Operating System (ONOS) for Distributed Software-Defined Networks. The purpose of the IBC system is to solve the issues existed in the ONOS system such as the complicated key management of TLS. The third paper “Secure and Efficient Verification for Data Aggregation in Front-End Internet of Things,” by Boudia et al, proposes Safe IoT. It is a scheme that provides an end-to-end privacy protection for Internet of thing (IoT)–based wireless sensor networks (WSNs). The scheme allows early detection of attacks through a hop-by-hop verification, thus reducing the need to rely entirely on sink node for verification. The solution is implemented on MicaZ and TelosB motes, based on an enhanced version of TinyECC. The fourth paper “NomadiKey: User Authentication for Smart Devices based on Nomadic Keys” is brought by Souza et al and introduces NomadiKey, a user-to-device authentication mechanism based on nomadic keyboard keys. NomadiKey increases security level by placing keys at different screen coordinates each time it is activated. The authors also design an extension to NomadiKey that employs out-of-band channels to thwart shoulder-surfing adversaries and compared it with other user authentication mechanisms. In their paper “A Procedure for Fast and Efficient Probing of Heterogeneous IoT Networks,” Metongnon and Sadre focus on network scans that are aiming at identifying vulnerable nodes in heterogeneous IoT environments. They propose a novel approach to increase the efficiency of network scans in heterogeneous networks by leveraging active round-trip time measurements. Using such measurements, their approach is able to adapt the scan strategy to the network characteristics in order to reduce probe losses and thereby improve the speed and efficiency of the scan. The paper “Booter List Generation: The Basis for Investigating DDoS-for-hire Websites,” by Santanna et al, investigates the expansion of Distributed Denial of Service (DDoS) launched from websites known as Booters or Stressers that are offering DDoS on the Internet as a paid service (DDoS-as-a-Service). They hence present a rigorous methodology to identify Booters existing in the Internet using URL crawling and classification techniques. The generated list of Booters is useful to identify and track attackers and suspicious websites. In their paper “Rendezvous-based access control for Information-Centric Architectures,” Fotiou and Bander address the problem of managing accesses to contents in Information Centric Networks (ICNs). Indeed, original designs of ICN architectures promote open distribution of contents by leveraging automatic in-network caching. A rendezvous mechanism is proposed and relies on Identity-Based Encryption in order to re-encrypt data to make content only available to authorized users. The authors particularly adapts this approach to the Publish-Subscribe Internet ICN architecture. Finally, Dridi et al investigated the impact of Denial-of-Service (DoS) attacks on Software-Defined Networks (SDN) in their paper “A Holistic Approach to Mitigating DoS Attacks in SDN Networks.” The authors show that such attacks could easily overload the SDN controller and flood switch forwarding tables, resulting in a critical degradation of the network performance. They propose SDN-Guard, a novel approach to mitigate DoS attack in SDN networks by leveraging an intrusion detection system to identify the attacks and dynamically managing the malicious traffic and the forwarding rules. The authors also investigate techniques to reduce the traffic that should be analysed by the intrusion system, such as packet sampling and optimal IDS placement in the SDN network. The Guest Editors of this International Journal of Network Management (IJNM) Special Issue would like to thank all authors for the high quality submissions received. We also thank the reviewers for the considerable time and invaluable effort to provide high-quality reviews and constructive comments, which enabled authors to significantly improve their papers and helped us to select the best manuscripts. We also extend our thanks to the IJNM Editorial Board, in particular James Hong and Filip De Turck, for giving us this opportunity to contribute as guest editors to the ongoing development and success of IJNM. Finally, we thank the Wiley Editorial Team, in special Rechelle Nabas and Cathryn Jordan, for the support and help throughout the editorial process.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante, Science ouverte
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,751
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0060,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,316
Écart entre enseignants0,291 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle