Theses and Dissertations


Issuing Body

Mississippi State University


Mittal, Sudip

Committee Member

Rahimi, Shahram

Committee Member

Banicescu, Ioana

Date of Degree


Document Type

Graduate Thesis - Open Access


Computer Science

Degree Name

Master of Science (M.S.)


James Worth Bagley College of Engineering


Department of Computer Science and Engineering


The domain of Intrusion Detection Systems (IDS) has witnessed growing interest in recent years due to the escalating threats posed by cyberattacks. As Internet of Things (IoT) becomes increasingly integrated into our every day lives, we widen our attack surface and expose more of our personal lives to risk. In the same way the Human Immune System (HIS) safeguards our physical self, a similar solution is needed to safeguard our digital self. This thesis presents the Artificial Immune inspired Intrusion Detection System (AIS-IDS), an IDS modeled after the HIS. This thesis proposes an architecture for AIS-IDS, instantiates an AIS-IDS model for evaluation, conducts a robust set of experiments to ascertain the efficacy of the AIS-IDS, and answers key research questions aimed at evaluating the validity of the AIS-IDS. Finally, two expansions to the AIS-IDS are proposed with the goal of further infusing the HIS into AIS-IDS design.