Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Selvakumar Manickam
Universiti Sains Malaysia (USM)
Computer Science & IT Electrical & Electronics Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Security schemes based on conditional privacy-preserving vehicular ad hoc networks Mahmood A. Al-shareeda; Mohammed Anbar; Murtadha A. Alazzawi; Selvakumar Manickam; Iznan H. Hasbullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp479-488

Abstract

Recently, vehicular ad hoc networks (VANETs) have been garnering significant inter-est from the people involved in transportation field. Nowadays automotive manufactur-ers have already supplying vehicles with multitude of road sensors that provides many useful characteristics. VANET communication not only offers the drivers and passen-gers with the various safety related services but also provides a wide range of valuable applications. However, the inherent openness of the wireless communication medium used by VANETs exposes vehicles to various security and privacy issues. Researchers have proposed many security schemes to solve the issues mentioned above for the widespread deployment of VANETs. However, these schemes failed to fulfill all as-pects of security and privacy requirements. Besides, these schemes have not provided the performance parameters such as computation and communication costs. The pri-mary emphasis of this paper is on the taxonomy of security schemes based conditional privacy-preserving with respect to strengths and limitations. Besides, a comparison be-tween these schemes related to the model of security and privacy requirements, attacks, and performance parameters is provided. Finally, this paper critically reviews the re-lated works by taking into consideration the design and development of all VANETs security and privacy schemes, this paper could serve as a guide and reference.
Semantic interoperability in IoT for Industry 4.0: Review, taxonomy, challenges, and future research Devamekalai Nagasundaram; Erum Ashraf; Selvakumar Manickam; Shams Ul Arfeen Laghari; Shankar Karuppayah
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i2.pp909-924

Abstract

Semantic interoperability is a critical enabler for achieving the Industry 4.0 vi sion, ensuring that heterogeneous IoT devices, systems, and applications can ex change and interpret data consistently. Despite its importance, achieving seman tic interoperability continues to pose significant challenges due to the diversity of data formats, standards, and ontologies used across industrial IoT environ ments. This paper presents a comprehensive review and taxonomy of semantic interoperability within Industry 4.0, analyzing existing frameworks, protocols, and ontological models. We classify current approaches based on their architec tural layers, semantic technologies, and application domains. Additionally, this study identifies the limitations of prevailing solutions, highlights open research challenges, and proposes future directions for enhancing semantic interoperabil ity in industrial IoT systems. The insights provided aim to support researchers and practitioners in developing scalable, secure, and semantically aligned IoT ecosystems for Industry 4.0.
Detecting anomalies in MQTT/MQTT-SN traffic using intelligent learning models Nabeel Mustafa Alassaf; Selvakumar Manickam; Ammar Odeh; Mohammed Anbar
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11889

Abstract

The widespread adoption of the internet of things (IoT) has heightened demand for secure, efficient communication across constrained devices. Lightweight protocols such as message queuing telemetry transport (MQTT) and its variant MQTT-sensor networks (SN) are widely used for IoT messaging but lack intrinsic security mechanisms, leaving them vulnerable to denial-of-service, spoofing, and injection attacks. This study presents a machine learning (ML)-based anomaly detection framework designed to enhance the security of MQTT and MQTT-SN traffic. We emulate realistic IoT environments to generate both benign and malicious traffic, extracting protocol-specific features such as packet length, topic length, quality of service (QoS) levels, and publish frequency. Three supervised models—random forest (RF), eXtreme gradient boosting (XGBoost), and long short-term memory (LSTM)—were trained and evaluated using cross-validation and statistical performance metrics. Experimental findings demonstrate that XGBoost achieved the best overall results, with 97.4% accuracy, 95.9% F1-score, and low false-positive and false-negative rates. Furthermore, the framework was successfully deployed on edge devices such as Raspberry Pi Zero W and ESP32, confirming its real-time feasibility and efficiency. The proposed approach highlights the potential of intelligent learning models to deliver lightweight, deployable, and effective intrusion detection for IoT systems utilizing MQTT and MQTT-SN communication protocols.
Ultra-lightweight hybrid authentication for MQTT/MQTT-SN internet of thing security Nabeel Alassaf; Selvakumar Manickam; Ammar Odeh; Mohammed Anbar
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11907

Abstract

The rapid growth of internet of thing (IoT) has increased the need for secure communication among resource-constrained devices using lightweight protocols such as message queuing telemetry transport (MQTT) and message queuing telemetry transport for sensor network (MQTT-SN). Traditional certificate-based solutions introduce significant computational and memory overhead for low-power devices. This paper proposes the hybrid lightweight protocol (HLP), a certificate-free approach combining elliptic-curve key exchange, hash-based message authentication code (HMAC)-based authentication, and ChaCha20-Poly1305 encryption. HLP uses pre-shared keys to reduce handshake complexity while maintaining confidentiality, integrity, and mutual authentication across MQTT and MQTT-SN environments. A Python-based implementation using paho-mqtt was evaluated in a constrained-device testbed. Experimental results show that HLP achieves lower handshake latency (-20–24 ms) and reduced bandwidth overhead (-130 bytes) compared with elliptic curve Diffie-Hellman ephemeral-pre-shared key (ECDHE-PSK) and elliptic curve Diffie-Hellman ephemeral-elliptic curve digital signature algorithm (ECDHE-ECDSA), while still supporting forward secrecy. These findings demonstrate that HLP is an efficient and practical solution for securing IoT communications on constrained devices.
Co-Authors Ammar Odeh Ammar Odeh Devamekalai Nagasundaram Erum Ashraf Iznan H. Hasbullah Mahmood A. Al-shareeda Mohammed Anbar Murtadha A. Alazzawi Nabeel Alassaf Nabeel Mustafa Alassaf Shams Ul Arfeen Laghari Shankar Karuppayah