:books: Literature

• Scientific Research

  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • BitBlaze: A new approach to computer security via binary analysis
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • Mal-XT: Higher accuracy hidden-code extraction of packed binary executable
  • Mal-xtract: Hidden code extraction using memory analysis
  • On the (Im)possibility of obfuscating programs
  • OPEM: A static-dynamic approach for machine-learning-based malware detection
  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • BitBlaze: A new approach to computer security via binary analysis
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • Mal-XT: Higher accuracy hidden-code extraction of packed binary executable
  • Mal-xtract: Hidden code extraction using memory analysis
  • On the (Im)possibility of obfuscating programs
  • OPEM: A static-dynamic approach for machine-learning-based malware detection
  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • BitBlaze: A new approach to computer security via binary analysis
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • Mal-XT: Higher accuracy hidden-code extraction of packed binary executable
  • Mal-xtract: Hidden code extraction using memory analysis
  • On the (Im)possibility of obfuscating programs
  • OPEM: A static-dynamic approach for machine-learning-based malware detection
  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • BitBlaze: A new approach to computer security via binary analysis
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • Mal-XT: Higher accuracy hidden-code extraction of packed binary executable
  • Mal-xtract: Hidden code extraction using memory analysis
  • On the (Im)possibility of obfuscating programs
  • OPEM: A static-dynamic approach for machine-learning-based malware detection
  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • 2-SPIFF: A 2-stage packer identification method based on function call graph and file attributes
  • An application of machine learning to analysis of packed mac malware
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • Automatic generation of adversarial examples for interpreting malware classifiers
  • BitBlaze: A new approach to computer security via binary analysis
  • Chosen-instruction attack against commercial code virtualization obfuscators
  • Complexity-based packed executable classification with high accuracy
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting obfuscated malware using reduced opcode set and optimised runtime trace
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • An improved method for packed malware detection using PE header and section table information
  • Intriguing properties of adversarial ML attacks in the problem space
  • MAB-Malware: A reinforcement learning framework for attacking static malware classifiers
  • A machine-learning-based framework for supporting malware detection and analysis
  • Mal-XT: Higher accuracy hidden-code extraction of packed binary executable
  • Mal-xtract: Hidden code extraction using memory analysis
  • MaliCage: A packed malware family classification framework based on DNN and GAN
  • On the (Im)possibility of obfuscating programs
  • OPEM: A static-dynamic approach for machine-learning-based malware detection
  • Packer classification based on association rule mining
  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • A survey on adversarial attacks for malware analysis
  • A survey on run-time packers and mitigation techniques
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • BitBlaze: A new approach to computer security via binary analysis
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • A machine-learning-based framework for supporting malware detection and analysis
  • Mal-XT: Higher accuracy hidden-code extraction of packed binary executable
  • Mal-xtract: Hidden code extraction using memory analysis
  • On the (Im)possibility of obfuscating programs
  • OPEM: A static-dynamic approach for machine-learning-based malware detection
  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • A survey on run-time packers and mitigation techniques
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • BitBlaze: A new approach to computer security via binary analysis
  • ByteWise: A case study in neural network obfuscation identification
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • A machine-learning-based framework for supporting malware detection and analysis
  • Mal-xtract: Hidden code extraction using memory analysis
  • On the (Im)possibility of obfuscating programs
  • OPEM: A static-dynamic approach for machine-learning-based malware detection
  • Packer identification using byte plot and Markov plot
  • Packer identification using hidden Markov model
  • Pattern recognition techniques for the classification of malware packers
  • PE-Miner: Mining structural information to detect malicious executables in realtime
  • PEAL - Packed executable analysis
  • RAMBO: Run-Time packer analysis with multiple branch observation
  • Research of software information hiding algorithm based on packing technology
  • Semi-supervised learning for unknown malware detection
  • A static, packer-agnostic filter to detect similar malware samples
  • A study of the packer problem and its solutions
  • A survey on run-time packers and mitigation techniques
  • AppSpear: Bytecode decrypting and DEX reassembling for packed Android malware
  • BitBlaze: A new approach to computer security via binary analysis
  • Denial-of-service attacks on host-based generic unpackers
  • Detecting traditional packers, decisively
  • DexHunter: Toward extracting hidden code from packed Android applications
  • Efficient and automatic instrumentation for packed binaries
  • Entropy analysis to classify unknown packing algorithms for malware detection
  • A fine-grained classification approach for the packed malicious code
  • Generic unpacking method based on detecting original entry point
  • A machine-learning-based framework for supporting malware detection and analysis
  • Mal-xtract: Hidden code extraction using memory analysis