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Volume 1, Issue 4, January 2026

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Volume 1, Issue 4

January 2026 | 2 Articles

🔓 Open Access🔗 DOI Assigned
Distributed SystemsCase StudyVol. 1, Issue 4, 2026

The Threshold of Modernity: Allegory, Gender, and the Fractured Nation in Rabindranath Tagore’s The Home and the World

Saddam Mollah

Registration ID: MERIT-2026-0016DOI: 10.66727/merit.26.0016

Published originally in Bengali as Ghare Baire (1916) against the turbulent backdrop of the anti-colonial Swadeshi movement, Rabindranath Tagore’s The Home and the World serves as a profound critique of aggressive, exclusionary nationalism. This paper examines how Tagore utilizes the domestic sphere as an allegorical battleground to explore the ideological fractures of early twentieth-century Bengal. Through a close textual reading of the novel's polyphonic structure-comprising the diary entries of Nikhil, Sandip, and Bimala-this study analyzes how the transition of the female protagonist across the domestic threshold (purdah) mimics the nation’s chaotic entry into political modernity. By interrogating the intersections of gender agency, subaltern realities, psychoanalytic desires, and geopolitical identity, this paper argues that Tagore offers an ethical framework of "rooted cosmopolitanism" as an alternative to the destructive, hyper-masculine deification of the nation-state. this paper argues that Tagore offers an ethical framework of "rooted cosmopolitanism" as an alternative to the destructive, hyper-masculine deification of the nation-state.

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Edge ComputingTechnical NoteVol. 1, Issue 4, 2026

A COMPREHENSIVE SURVEY OF MACHINE LEARNING-BASED INTRUSION DETECTION FOR CYBERSECURITY THREAT CLASSIFICATION

dR. Soumen Pore, Dr. Debashree Chakraborty

Registration ID: MERIT-2026-0020Pages: 17-24DOI: 10.66727/merit.26.0020

A large number of devices connected to the Internet, cloud technology, and digital communication methods have contributed to a greater incidence of risk events in the field of digital security. Existing detection methods using fingerprints, signatures, and rules cannot always necessarily identify so-called zero-day attacks and the new methods of penetration of businesses. Therefore, the need for ML-based detection emerges because of the new possibilities for detection of hidden deviations in the behavior of networks. The aim of this article is to provide a comprehensive overview of the existing ML-based intrusion detection systems (IDS). In the course of the work the analysis of standard chains of operations, assessment of the theory behind most widely used IDS, classification of various environments of evaluation using NSL-KDD, CICIDS2017, and UNSW-NB15 benchmarks, and development of current indexes of efficiency are performed. In addition, the most important problems such as the problem of imbalance of data, the problem of attacks against static models, and the problem of interpretability of models have been discussed.

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