Collaborative techniques for intrusion detection in mobile ad-hoc networks. - Ningrinla Marchang; Raja Datta (Ad Hoc Networks, 2008)

Light-weight trust-based routing protocol for mobile ad hoc networks. - Ningrinla Marchang; Raja Datta (IET Inf. Secur., 2012)

Attack-Resistant Trust-Based Weighted Majority Game Rule for Spectrum Sensing in Cognitive Radio Networks. - Suchismita Bhattacharjee; Ningrinla Marchang (ICISS, 2015)

Distributed Binary Decision-Based Collaborative Spectrum Sensing in Infrastructure-less Cognitive Radio Network. - Roshni Rajkumari; Ningrinla Marchang (WCI, 2015)

CODES: A COllaborative DEtection Strategy for SSDF Attacks in Cognitive Radio Networks. - Amar Taggu; Chukhu Chunka; Ningrinla Marchang (WCI, 2015)

Mitigating SSDF attack using k-medoids clustering in Cognitive Radio Networks. - Shikhamoni Nath; Ningrinla Marchang; Amar Taggu (WiMob, 2015)

An effective emitter-source localisation-based PUEA detection mechanism in cognitive radio networks. - Dikita Salam; Amar Taggu; Ningrinla Marchang (ICACCI, 2016)

A study on spectral occupancy in the north eastern India for rural broadband access. - Amar Taggu; Kennong Rina; Khoda Yasina; Ningrinla Marchang (ICACCI, 2017)

A jammer-resilient cognitive radio network using evolutionary game theory. - Amar Taggu; Manmi Nath; Poulami Banik; Ningrinla Marchang (WPMC, 2017)

A Novel Approach for Efficient Usage of Intrusion Detection System in Mobile Ad Hoc Networks. - Ningrinla Marchang; Raja Datta; Sajal K. Das 001 (IEEE Trans. Veh. Technol., 2017)

Binary decision-based collaborative spectrum sensing in infrastructure-less cognitive radio network. - Roshni Rajkumari; Ningrinla Marchang (Ann. des Télécommunications, 2018)

Modelling and mitigating spectrum sensing non-cooperation attack in cognitive radio network. - Roshni Rajkumari; Ningrinla Marchang (Int. J. Ad Hoc Ubiquitous Comput., 2018)

Can Clustering be Used to Detect Intrusion During Spectrum Sensing in Cognitive Radio Networks? - Kennong Rina; Shikhamoni Nath; Ningrinla Marchang; Amar Taggu (IEEE Syst. J., 2018)

Detecting Byzantine Attack in Cognitive Radio Networks by Exploiting Frequency and Ordering Properties. - Ningrinla Marchang; Amar Taggu; Aswini Kumar Patra (IEEE Trans. Cogn. Commun. Netw., 2018)

App-Collusion Detection Using a Two-Stage Classifier. - Md. Faiz Iqbal Faiz; Md. Anwar Hussain; Ningrinla Marchang (AINA Workshops, 2019)

Machine Learning Based App-Collusion Detection in Smartphones. - Md. Faiz Iqbal Faiz; Md. Anwar Hussain; Ningrinla Marchang (ISCT, 2019)

Probabilistic Node Scheduling in Dense Wireless Sensor Networks. - Aparna Vishwanath; Raja Datta; Ningrinla Marchang (TENCON, 2019)

Malicious user detection with local outlier factor during spectrum sensing in cognitive radio network. - Suchismita Bhattacharjee; Ningrinla Marchang (Int. J. Ad Hoc Ubiquitous Comput., 2019)

Mitigating SSDF attack using distance-based outlier approach in cognitive radio networks. - Wangjam Niranjan Singh; Ningrinla Marchang; Amar Taggu (Int. J. Ad Hoc Ubiquitous Comput., 2019)

A review on spectrum allocation in cognitive radio network. - Wangjam Niranjan Singh; Ningrinla Marchang (Int. J. Commun. Networks Distributed Syst., 2019)

Mitigating spectrum sensing data falsification attack in ad hoc cognitive radio networks. - Roshni Rajkumari; Ningrinla Marchang (Int. J. Commun. Syst., 2019)

Android Malware Detection Using Multi-stage Classification Models. - Md. Faiz Iqbal Faiz; Md. Anwar Hussain; Ningrinla Marchang (CISIS, 2020)

Distributed Off-Chain Storage of Patient Diagnostic Reports in Healthcare System Using IPFS and Blockchain. - Randhir Kumar; Ningrinla Marchang; Rakesh Tripathi (COMSNETS, 2020)

To attack or not to: an evolutionary game model to study the dynamics of selfish PUEA attackers in cognitive radio networks. - Amar Taggu; Ningrinla Marchang (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Detecting Byzantine attack in cognitive radio networks using machine learning. - Rupam Sarmah; Amar Taggu; Ningrinla Marchang (Wirel. Networks, 2020)

Detection Of Primary User Emulation Attack (PUEA) In Cognitive Radio Networks Using One-Class Classification. - Bishal Chhetry; Ningrinla Marchang (CoRR, 2021)

A secured distributed detection system based on IPFS and blockchain for industrial image and video data security. - Randhir Kumar; Rakesh Tripathi; Ningrinla Marchang; Gautam Srivastava 001; Thippa Reddy Gadekallu; Neal N. Xiong (J. Parallel Distributed Comput., 2021)

Detecting Byzantine attacks in Cognitive Radio Networks : A two-layered approach using Hidden Markov Model and machine learning. - Amar Taggu; Ningrinla Marchang (Pervasive Mob. Comput., 2021)

A Greedy Task Allocation Mechanism for Time-Dependent Mobile Crowdsensing Systems. - Goldie M. Meitei; Ningrinla Marchang (SOLI, 2022)

Task reduction using regression-based missing data imputation in sparse mobile crowdsensing. - Ningrinla Marchang; Goldie M. Meitei; Tejendrakumar Thakur (J. Supercomput., 2022)

PAMDI: Privacy aware missing data inference scheme for sparse mobile crowd sensing. - Tejendrakumar Thakur; Ningrinla Marchang (J. Ambient Intell. Smart Environ., 2023)

Probabilistic Sign Flipping Attack in Federated Learning. - Anee Sharma; Ningrinla Marchang (ICCCNT, 2024)

A review on client-server attacks and defenses in federated learning. - Anee Sharma; Ningrinla Marchang (Comput. Secur., 2024)

Provisioning Load Balancing in Time-Sensitive Task Allocation for Mobile Crowdsensing. - Goldie M. Meitei; Ningrinla Marchang (J. Netw. Syst. Manag., 2024)

Mitigating Security Attacks in Spectrum Allocation in Cognitive Radio Networks. - Wangjam Niranjan Singh; Ningrinla Marchang (SN Comput. Sci., 2024)

Altruistic user-oriented task allocation techniques for mobile crowdsensing. - Moirangthem Goldie Meitei; Ningrinla Marchang (CCF Trans. High Perform. Comput., 2024)

Detection of Malicious Clients in Federated Learning Using Graph Neural Network. - Anee Sharma; Ningrinla Marchang (IEEE Access, 2025)

Incentive mechanism for mobile crowd sensing with Assumed Bid Cost Reverse Auction. - Jowa Yangchin; Ningrinla Marchang (J. Syst. Softw., 2025)