International Journal of Scientific Engineering and Technology

Calpephore Nkikabahizi ¹, Wilson Cheruiyot ¹, Ann Kibe ¹

Affiliations
1 Department of Information Technology, Jomo Kenyatta University of Agriculture and Technology (JKUAT), KE

Abstract

Currently, the development of most of organizations depends on technology for mining information, storing and its transactions. But these frequent use online technologies make the data to be exposed to the risk of attacks that compromise the normal activities of systems. To protect and prevent these attacks, the researchers had implemented the intrusion detection systems (IDS). Even the IDS are so many, the attacks still also increasing in different forms. This paper reviews most techniques usable in IDS, to help users and security professionals to take robust measures in identifying the strength and weakness of each technique. The result of this study shows that majority of techniques perform well at rate more than 99%.

Keywords

Data Mining, IDS, Normalization.

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UMUHOZA Leoncie ¹, W. K. Cheruiyot ¹, Ann Kibe ¹

Affiliations
1 School of Computer Science and Information Technology, Department of Computing, Jomo Kenyatta University of Agriculture and Technology, KE

Abstract

MitB attacks are a sophisticated new hacking technique associated with Internet crime, especially that which targets customers of Internet banking and operate by stealing authentication data and altering legitimate user transactions to benefit the attackers. This paper presents LSB embeddings approach for enhancing user authentication during an online transaction to tackle the problem of MitB attack.

Keywords

Man-In-The-Browser, Authentication, Online Banking, LSB Embedding.

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Nizigiyimana Alain ¹, Ann Kibe ¹, W. K. Cheruiyot ¹

Affiliations
1 Jomo Kenyatta University of Agriculture and Technology, Kigali Campus, RW

Abstract

This study aimed at using Transparent Data Encryption uses to protect database backups against exposure of backup data. The study a more improved data base security was expected through encrypting database backups. Results from this study revealed that The TDE algorithm for database backup protection was designed and implemented improved database backup security. This was echoed by the penetration test performed which showed that databases backups without data TDE have higher vulnerability risks than databases with TDE. Therefore, protecting backup data with TDE can prevent the exposure of data via backups.

Keywords

TDE, Database Backup, Database Exposure, Database Protection.

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