Vaseem Akram

Title: Innovations by Vaseem Akram in Anomaly Detection

Introduction

Vaseem Akram is an accomplished inventor based in Noida, India. He has made significant contributions to the field of machine learning, particularly in the area of anomaly detection within signaling system networks. His innovative approach utilizes advanced techniques to enhance network security and reliability.

Latest Patents

Vaseem Akram holds a patent for "Anomaly detection in SS7 control network using reconstructive neural networks." This patent focuses on employing machine learning techniques for unsupervised training with a diverse set of signaling system 7 (SS7) messages. The invention addresses the challenges of identifying anomalous messages by utilizing a corpus of unlabeled SS7 messages, which include various operation codes and transaction types. The method involves storing the opcodes of these messages into feature vectors, which are then used to train a reconstructive model, such as an autoencoder, to detect anomalies effectively.

Career Highlights

Vaseem Akram is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in the field of technology. His work at Oracle has allowed him to apply his expertise in machine learning and network security, contributing to the company's advancements in these areas.

Collaborations

Vaseem has collaborated with notable colleagues, including Hamed Ahmadi and Ali Moharrer. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Vaseem Akram's contributions to anomaly detection in SS7 networks exemplify the intersection of machine learning and network security. His innovative patent and ongoing work at Oracle International Corporation highlight his commitment to advancing technology in meaningful ways.