Building a Contextual Sensor Network Using Automated Bots. - Ken Miguel Hughes; Anitha Chennamaneni (IKE, 2010)

Applying Contextual Processing to Traffic Signal Control Systems. - Ray Mahlke; Gregory Vert; Anitha Chennamaneni (IKE, 2010)

Potential Application of Contextual Information Processing To Data Mining. - Gregory Vert; Anitha Chennamaneni; S. Sitharama Iyengar (IKE, 2010)

An Integrated Framework for Effective Tacit Knowledge Transfer. - Anitha Chennamaneni; James T. C. Teng (AMCIS, 2011)

A unified model of knowledge sharing behaviours: theoretical development and empirical test. - Anitha Chennamaneni; James T. C. Teng; M. K. Raja (Behav. Inf. Technol., 2012)

Towards an Integrated Framework for Applying the Agile Project Methodology to Manage Task Uncertainty in Disaster Management. - Jayson Geoffrey Brown; Anitha Chennamaneni (AMCIS, 2013)

Communication Privacy Management and Self-Disclosure on Social Media - A Case of Facebook. - Anitha Chennamaneni; Aakash Taneja (AMCIS, 2015)

Big Data Analytics for Supply Chain Innovation. - Mabeena Singh; Anitha Chennamaneni (AMCIS, 2016)

Information Sharing Behavior of the Older Adults: An Empirical Study of Their Online Privacy Concerns. - Babita Gupta; Anitha Chennamaneni (AMCIS, 2017)

Understanding Online Privacy Protection Behavior of the Older Adults: An Empirical Investigation. - Babita Gupta; Anitha Chennamaneni (J. Inf. Technol. Manag., 2018)

Era of Ambivalent IoT: Are we secure? - Anitha Chennamaneni; Vikram S. Bhadauria (AMCIS, 2020)

Privacy Concerns of Mobile App Users: An Empirical Study. - Anitha Chennamaneni; Babita Gupta (AMCIS, 2020)

Do desire, anxiety and personal innovativeness impact the adoption of IoT devices? - Vikram S. Bhadauria; Anitha Chennamaneni (Inf. Comput. Secur., 2022)

Detection of Malicious Bots on Twitter through BERT Embeddings-based Technique. - Piyush Vyas; Gitika Vyas; Anitha Chennamaneni (AMCIS, 2023)

Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study. - Damiano Torre; Anitha Chennamaneni; Alex Rodriguez (IEEE Access, 2023)

BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning. - Brandon Bowen; Anitha Chennamaneni; Ana E. Goulart; Daisy Lin (Int. J. Inf. Sec., 2023)

IoT forensic analysis: A family of experiments with Amazon Echo devices. - Scott Lorenz; Stanley Stinehour; Anitha Chennamaneni; Abdul B. Subhani; Damiano Torre (Forensic Sci. Int. Digit. Investig., 2023)

Deep learning techniques to detect cybersecurity attacks: a systematic mapping study. - Damiano Torre; Frantzy Mesadieu; Anitha Chennamaneni (Empir. Softw. Eng., 2023)

The privacy protection behaviours of the mobile app users: exploring the role of neuroticism and protection motivation theory. - Anitha Chennamaneni; Babita Gupta (Behav. Inf. Technol., 2023)

A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures. - Shalini Saini; Anitha Chennamaneni; Babatunde A. Sawyerr (CoRR, 2024)

Leveraging Machine Learning for Effective Device Detection and Security in LoRa-Based IoT Systems. - Nurettin Selcuk Senol; Anitha Chennamaneni; Amar Rasheed; Ahmet Furkan Aydogan (ISDFS, 2025)

Buenas: Giving Everyone a Seat at the Study Group Table. - Raquel T. Cabrera Araya; Siyu Huang; Mohammad Nadim; Walter Murphy; Anitha Chennamaneni; Edgar Rojas-Muñoz; Voicu Popescu (VR Workshops, 2025)

A Case Study of 3rd Party Hardware: The Weakest Link in Google's Trustworthy Artificial Intelligence Implementation. - Scott Lorenz; Stanley Stinehour; Anitha Chennamaneni; Abdul B. Subhani; Mohammad Nadim (IEEE Access, 2025)

Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study. - Damiano Torre; Anitha Chennamaneni; JaeYun Jo; Gitika Vyas; Brandon Sabrsula (ACM Trans. Softw. Eng. Methodol., 2025)