Abstract Knowledge graph, as an extension of graph data structure, is being used in a wide
range of areas as it can store interrelated data and reveal interlinked relationships between …

Abstract Link Flooding Attacks (LFA) are a devastating type of stealthy denial of service
attack that congests critical network links and can completely isolate the victim's network. In …

This paper proposes a novel approach for intrusion detection system based on sampling
with Least Square Support Vector Machine (LS-SVM). Decision making is performed in two …

For an organization, insider intrusion generally poses far more detrimental threats than
outsider intrusion. Traditionally, insider threat is detected by analyzing logged user …

The k-nearest neighbors (k-NN) query is a fundamental primitive in spatial and multimedia
databases. It has extensive applications in location-based services, classification & …

Access control is an effective way to prevent data exfiltration from insiders. Recently,
machine learning algorithms have been widely used in access control decision-making …

In the cyber world, insider threats significantly challenge organizational security. These
threats originate from malicious or negligent employees with authorized access, making …

This chapter proposes a purpose-based access control model in distributed computing
environment for privacy preserving policies and mechanisms, and describes algorithms for …

Network entities have important asset mapping, vulnerability, and service delivery
applications. In cyberspace, where the network structure is complex and the number of …

Abstract In this paper, Audio QoE assessment experiments were conducted by using
network parameters such as packet loss and reorder. The network model was created by …