Title | A Mobile Edge Mitigation Model for Insider Threats: A Knowledgebase Approach |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Althebyan, Q. |
Conference Name | 2019 International Arab Conference on Information Technology (ACIT) |
Keywords | cloud, cloud computing, cloud internal users, Cloud Security, cloud users, data privacy, database, dependency, Human Behavior, insider threat, insider threat problem, insider threats, knowledge based systems, Knowledgebase, knowledgebase approach, malicious insiders, malicious outsiders, Metrics, mobile computing, Mobile Edge, mobile edge computing mitigation model, mobile edge mitigation model, Organizations, policy-based governance, private data, pubcrawl, resilience, Resiliency, security of data |
Abstract | Taking care of security at the cloud is a major issue that needs to be carefully considered and solved for both individuals as well as organizations. Organizations usually expect more trust from employees as well as customers in one hand. On the other hand, cloud users expect their private data is maintained and secured. Although this must be case, however, some malicious outsiders of the cloud as well as malicious insiders who are cloud internal users tend to disclose private data for their malicious uses. Although outsiders of the cloud should be a concern, however, the more serious problems come from Insiders whose malicious actions are more serious and sever. Hence, insiders' threats in the cloud should be the top most problem that needs to be tackled and resolved. This paper aims to find a proper solution for the insider threat problem in the cloud. The paper presents a Mobile Edge Computing (MEC) mitigation model as a solution that suits the specialized nature of this problem where the solution needs to be very close to the place where insiders reside. This in fact gives real-time responses to attack, and hence, reduces the overhead in the cloud. |
DOI | 10.1109/ACIT47987.2019.8990987 |
Citation Key | althebyan_mobile_2019 |