SeFACED: Semantic-Based Forensic Analysis and Classification of E-Mail Data Using Deep Learning

Article Computer Science, Information Systems

LSTM Based Phishing Detection for Big Email Data

Qi Li et al.

Summary: Phishing emails are becoming more complex, making existing detection methods inadequate. This article introduces an LSTM-based phishing detection method that achieves 95% accuracy through sample expansion and testing stages.

IEEE TRANSACTIONS ON BIG DATA (2022)

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Article Computer Science, Hardware & Architecture

SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles

Randhir Kumar et al.

Summary: The current development of UAVs and IoT devices is revolutionizing traditional agriculture into precision agriculture, but also facing challenges in terms of internet security and data privacy. This research proposes the SP2F framework, featuring two main engines - a two-level privacy engine and a deep learning-based anomaly detection engine, which strengthen data authentication and prevent data poisoning attacks by introducing blockchain and smart contracts.

COMPUTER NETWORKS (2021)

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Article Computer Science, Theory & Methods

DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network

Syed Ibrahim Imtiaz et al.

Summary: As the use of Android smartphones becomes more widespread, there is an increasing need for more efficient methods to detect and prevent malicious applications from attacking and compromising user devices.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

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Article Computer Science, Theory & Methods

DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)

Saif ur Rehman et al.

Summary: DDoS attacks can disrupt communication networks, and the DIDDOS approach is effective in preventing new types of DDoS attacks, achieving high accuracy of 99.69% and 99.94% using GRU neural network for classification.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

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Article Computer Science, Artificial Intelligence