An enhanced multilevel secure data dissemination approximate solution for future networks.

ABSTRACT: Sensitive data, such as financial, personal, or classified governmental information, must be protected throughout its cycle. This paper studies the problem of safeguarding transmitted data based on data categorization techniques. This research aims to use a novel routine as a new meta-heuristic to enhance a novel data categorization based-traffic classification technique where private data is classified into multiple confidential levels. As a result, two packets belonging to the same confidentiality level cannot be transmitted through two routers simultaneously, ensuring a high data protection level. Such a problem is determined by a non-deterministic polynomial-time hardness (NP-hard) problem; therefore, a scheduling algorithm is applied to minimize the total transmission time over the tw

SUBMITTER: Otoom MM 

PROVIDER: S-EPMC10852309 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature