Advancing information technology with immunological computing – soft computing techniques for adaptive and robust systems (Record no. 22707)

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003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250424110351.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250424b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 25973
Author Kaliswaran, S.
245 ## - TITLE STATEMENT
Title Advancing information technology with immunological computing – soft computing techniques for adaptive and robust systems
250 ## - EDITION STATEMENT
Volume, Issue number Vol.15(2), Oct
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Chennai
Name of publisher, distributor, etc. ICT Academy
Year 2024
300 ## - PHYSICAL DESCRIPTION
Pagination 3532-3538p.
520 ## - SUMMARY, ETC.
Summary, etc. The field of Information Technology (IT) is evolving rapidly, and with<br/>this growth comes the need for systems that are both adaptive and<br/>robust. Biological systems, especially the human immune system,<br/>demonstrate remarkable adaptability and resilience, inspiring the<br/>development of Immunological Computing (IC). This paper explores<br/>the application of immunological principles in Soft Computing<br/>techniques to create systems capable of responding to dynamic<br/>environments. Current IT systems often face challenges such as<br/>handling unpredictable changes, scalability, and security threats.<br/>Traditional computing approaches struggle to address these issues<br/>efficiently due to their rigid structures and limited adaptability.<br/>Immunological Computing, inspired by the immune system’s ability to<br/>learn, remember, and adapt, offers a promising solution. The proposed<br/>method integrates immune system mechanisms like clonal selection,<br/>immune memory, and self/non-self-recognition into computational<br/>models. These models are coupled with soft computing techniques such<br/>as fuzzy logic, genetic algorithms, and neural networks, enhancing the<br/>system’s ability to adapt to changing environments and uncertainties.<br/>In simulated tests, this approach demonstrated a significant<br/>improvement in robustness and adaptability compared to traditional IT<br/>systems. For instance, in a cybersecurity application, the<br/>immunological-based system detected and neutralized 94.6% of threats,<br/>a notable improvement over the 82.3% detected by conventional<br/>systems. Similarly, in a resource optimization scenario, the system<br/>adapted to dynamic workloads with an efficiency increase of 15%<br/>compared to static systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 25974
Co-Author Sivasankari, R.
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication Chennai ICT Academy
Title ICTACT Journal on Soft Computing (IJSC)
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://ictactjournals.in/paper/IJSC_Vol_15_Iss_2_Paper_8_3532_3538.pdf
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Articles Abstract Database
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    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 24/04/2025   2025-0656 24/04/2025 24/04/2025 Articles Abstract Database
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