Deep Learning based Cross Architecture Internet of Things malware Detection and Classification

A Multi-Dimensional Deep Learning Framework for IoT Malware Classification and Family Attribution

(2021) Mirabelle Dib et al.   IEEE Transactions on Network and Service Management

A Novel Framework to Classify Malware in MIPS Architecture-Based IoT Devices

(2020) Tran Nghi Phu et al.   Security and Communication Networks

Characterizing Linux-based malware: Findings and recent trends

(2020) J. Carrillo-Mondéjar et al.   Future Generation Computer Systems-The International Journal of eScience

Fuzzy Pattern Tree for Edge Malware Detection and Categorization in IoT

(2019) Ensieh Modiri Dovom et al.   JOURNAL OF SYSTEMS ARCHITECTURE

An opcode-based technique for polymorphic Internet of Things malware detection

(2019) Hamid Darabian et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Detecting Malware on X86-Based IoT Devices in Autonomous Driving

(2019) Weina Niu et al.   IEEE WIRELESS COMMUNICATIONS

A hybrid deep learning image-based analysis for effective malware detection

(2019) Sitalakshmi Venkatraman et al.   Journal of Information Security and Applications

A novel graph-based approach for IoT botnet detection

(2019) Huy-Trung Nguyen et al.   International Journal of Information Security

Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach

(2019) Hisham Alasmary et al.   IEEE Internet of Things Journal

An improved two-hidden-layer extreme learning machine for malware hunting

(2019) Amir Namavar Jahromi et al.   COMPUTERS & SECURITY

Malware detection in mobile environments based on Autoencoders and API-images

(2019) Gianni D’Angelo et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting

(2018) Hamed HaddadPajouh et al.   Future Generation Computer Systems-The International Journal of eScience

Deep learning

(2015) Yann LeCun et al.   NATURE

ELF-Miner: using structural knowledge and data mining methods to detect new (Linux) malicious executables

(2011) Farrukh Shahzad et al.   KNOWLEDGE AND INFORMATION SYSTEMS