International Journal of Science, Engineering and TechnologyAuthors: Research Scholar J.Bindhu Bhargavi
Abstract: Large-scale genomic and biological data processing, analysis, and storage are now possible because to the quick development of bioinformatics. However, there are also serious cybersecurity threats associated with the growing digitization of biological data, endangering the availability, confidentiality, and integrity of data. Because they contain individually identifiable and unchangeable information that cannot be changed once disclosed, genomic records are particularly sensitive. Examining vulnerabilities in cloud-based analytic platforms, genetic databases, bioinformatics pipelines, and data-sharing frameworks, this study explores the nascent topic of cyber-bio security. Unauthorized access, ransomware attacks, malicious code injection, insider threats, and data manipulation inside sequencing and analysis workflows are among the common threat vectors reviewed in the study. It also examines security flaws in bioinformatics software development caused by insufficient encryption techniques, shoddy authentication procedures, and a lack of security-by-design principles. The article suggests a multi-layered security framework that includes block chain-based integrity verification, encryption standards, access control policies, secure software engineering techniques, and AI-driven intrusion detection systems to address these issues. There is also discussion of ethical, legal, and regulatory issues pertaining to international data governance and genetic privacy. In order to guarantee robust protection of biological data assets, the results emphasize the critical necessity for interdisciplinary cooperation between cyber security specialists, bio informaticians, healthcare organizations, and legislators.
