Titlebook: Security and Privacy in Communication Networks; 14th International C Raheem Beyah,Bing Chang,Sencun Zhu Conference proceedings 2018 ICST In

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Detecting Suspicious Members in an Online Emotional Support Servicers) with a crowd of voluntary paraprofessionals. While most users tend to legitimately seek mental support, others may engage maliciously by attacking volunteers with trolling, flaming, bullying, spamming, and phishing behaviors. Besides attacking the mental health of trained paraprofessionals, thes

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Towards a Reliable and Accountable Cyber Supply Chain in Energy Delivery System Using Blockchaindifferent software or hardware vendors. Due to the heterogeneous services provided and various roles involved for each system entity to maintain the IT infrastructure, the attack surface expands dramatically, thus putting enterprise systems at high risks of data breaches or compromises. This paper f

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A Multi-protocol Authentication Shibboleth Framework and Implementation for Identity Federation good identity management framework, they usually support single protocol such as Security Assertion Markup Language (SAML). With the movement of increasing service collaboration in the cloud, identity federation needs to be extended to cover multiple identity protocol standards. In this paper, we p

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SDN-Assisted Network-Based Mitigation of Slow DDoS Attacks many network applications are not prepared for such attacks, either due to missing countermeasures or because their default configurations ignores such attacks. The pressure to secure network services against such attacks is shifting more and more from the service operators to the network operators

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A Holistic Approach Towards Peer-to-Peer Security and Why Proof of Work Won’t Doinst the network itself. Our contribution in this matter is twofold: First, we present a security-first design for P2P networking based on self-certifying identifiers. It provides message authenticity, integrity of routing tables, and authenticated communication, is resistant (and not only resilient

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A Robust Intrusion Detection Network Using Thresholdless Trust Management System with Incentive Desidge and learning experience from other IDSs. However, some malicious IDSs within an IDN can corrupt the whole collaborative network. In this paper, we propose a robust trust management system, where each IDS evaluates the trustworthiness of its neighbors by making direct observations on their recomm