Ihekeremma A. Ejimofor

Work place: Department of Computer Engineering, Madonna University, Enugu, Nigeria

E-mail: iaejims2@yahoo.com


Research Interests: Computer systems and computational processes, Information Security, Network Security, Data Structures and Algorithms


Ihekeremma Amara Ejimofor is a lecturer at the Department of Computer Engineering, Faculty of Engineering, Madonna University, Enugu, Nigeria. She holds a Bachelor of Engineering degree in Computer Engineering and a Master of Science degree in Computer Science. She is currently pursuing her PhD degree in Computer Science in Nnamdi Azikiwe University, Awka, Nigeria. Her interests include networks security, experts systems and big data analytics.

Author Articles
The Impact of Sensor Area on Worm Propagation Using SEIR and SEIR-V Models: A Preliminary Investigation

By ChukwuNonso H. Nwokoye Njideka N. Mbeledogu Ihekeremma A. Ejimofor

DOI: https://doi.org/10.5815/ijwmt.2017.06.04, Pub. Date: 8 Nov. 2017

Cyber security is of topical concern in the computing industry and in organizations that require ICT infrastructure for business-related activities. Theft or disrupting the flow of data and information can cause devastating damage to an institution’s reputation and this may lead to huge financial losses. More mayhem can be perpetrated by malicious codes such as worms to organizations that use wireless sensor networks for collecting and transmitting data and information. To tackle this issue of cyber security, researchers have used epidemiological models (such as SEIR and SEIR-V) to gain insight into malicious code propagation. However, topological concerns and its impact in worm propagation haven’t been thoroughly studied. Here, we modify older models by applying a different expression for sensor deployment area; we intend to highlight the spatial parameters that may allow for the extinction of worms in wireless sensor networks amidst countermeasures deployed by network managers.

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Modeling the effect of Network Access Control and Sensor Random Distribution on Worm Propagation

By ChukwuNonso H. Nwokoye Njideka Mbeledogu Ikechukwu I. Umeh Ihekeremma A. Ejimofor

DOI: https://doi.org/10.5815/ijmecs.2017.11.06, Pub. Date: 8 Nov. 2017

Sensor networks are appealing targets for malicious attacks that invade the network with the aim of depleting the confidentiality, availability and integrity (CIA) features/parameters of neighboring sensor nodes. This is due to its open communication, minimal resources and its deployment in un-trusted, unguarded and unfriendly terrains. To restrict illegitimate users or malicious attackers (such as worms) network analysts have suggested network access control (NAC). Specifically, we apply NAC to wireless sensor network epidemic models in order to investigate distribution density, transmission range and sensor area/field. Our analyses involved analytical expressions of two sensor fields gleaned from literature. Additionally, we explored the possibilities of infectivity of sensor nodes at the exposed class using the two expressions for sensor field topologies. We also derived the reproduction ratios and solutions at several equilibrium points for the models. It is our hope that that our work herein would impact sensor deployment decisions for organizations that utilize wireless sensor networks for meaningful daily activities.

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