
Information Systems Security
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This book constitutes the proceedings of the 17th International Conference on Information Systems Security, ICISS 2021, held in Patna, India, during December 16-20, 2021.
The 9 regular papers, 2 short papers and 4 work-in-progress papers included in this volume were carefully reviewed and selected from a total of 48 submissions. The papers were organized in topical sections named: attack detection, malware identification, data security in distributed systems, and applied cryptography.
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Content
- Intro
- Preface
- Organization
- Abstract of Keynote Talks
- Multiagent Reasoning for Social Impact: Results from Deployments for Public Health and Conservation
- Data Privacy Re-visited During Covid19
- Modeling and Leveraging Attrition in Cyber Operations
- Contents
- Attack Detection
- Identifying Tactics of Advanced Persistent Threats with Limited Attack Traces
- 1 Introduction
- 2 Background
- 2.1 MITRE ATT&CK Framework
- 2.2 Graph Embedding and GraphSAGE
- 3 Architecture and Approach
- 3.1 Data Collection
- 3.2 Graph Embedding Using GraphSAGE
- 4 Models
- 4.1 Online Metric Learning
- 4.2 SetConv: a New Approach for Learning from Imbalanced Data
- 5 Experiments
- 5.1 Experiment Setting
- 5.2 Result
- 6 Related Works
- 7 Conclusion and Future Work
- References
- WiP: Slow Rate HTTP Attack Detection with Behavioral Parameters
- 1 Introduction
- 2 Related Work
- 3 Proposed Slow Rate Attack Detection Method
- 3.1 Attack Indicators
- 3.2 How Different Parameters are Related?
- 3.3 Slow Rate Attack Detection
- 4 Experiments
- 4.1 Experiment in a Testbed (Experiment-1)
- 4.2 Experiment with Real Web Server (Experiment-2)
- 5 Conclusion
- References
- Multi Layer Detection Framework for Spear-Phishing Attacks
- 1 Introduction
- 2 Characteristics of Spear Phishing Email
- 2.1 Reflects Sense of Urgency
- 2.2 Impersonation
- 2.3 Malicious URLs and Attachments
- 2.4 Credential Harvesting and Lateral Movement
- 3 Related Work
- 4 Proposed Solution
- 5 Detection Engines
- 5.1 Impersonation Analysis Engine
- 5.2 Sentiment Analysis Engine
- 5.3 Content Analysis Engine
- 6 Aggregation Module
- 7 Dynamic Analysis Engine
- 8 Experiments and Results
- 8.1 Case I- Email ID 547
- 8.2 Case II-Security and Email ID 529
- 8.3 Case III - Email ID 347
- 8.4 Case IV - Email ID 448
- 9 Conclusion and Future Work
- References
- Vulnerability Analysis and Detection Using Graph Neural Networks for Android Operating System
- 1 Introduction
- 2 Literature Review
- 3 Proposed Methodology
- 3.1 Vulnerability Code Extraction
- 3.2 Intermediate Graph Representation
- 3.3 Feature Extraction
- 3.4 Graph Neural Network
- 3.5 Proposed GNN Architecture for Vulnerability Detection
- 4 Results and Discussion
- 4.1 Intermediate Graph Representation
- 4.2 Graph Data Extraction
- 4.3 Performance Evaluation of GNN
- 5 Conclusion and Future Work
- References
- Malware Identification
- Origin Information Assisted Hybrid Analysis to Detect APT Malware
- 1 Introduction
- 2 Related Work
- 3 Attack Flow of APT-Based Attacks
- 4 Proposed Methodology
- 4.1 How Does the PUI Get Installed on the System?
- 4.2 How to Get the PUI's Origin Information
- 4.3 Feature Engineering
- 4.4 Dataset Construction
- 5 Experiments and Performance Analysis
- 5.1 Experimental Setup
- 5.2 Data-Acquisition Process: Acquiring Features
- 5.3 Experimental Details
- 5.4 Model Training
- 5.5 Discussion
- 6 Conclusion and Future Work
- A Appendix
- A.1 List of Sources: Benign Executable Samples
- A.2 List of Sources: APT Malware Executable Samples
- References
- Raising MIPS Binaries to LLVM IR
- 1 Introduction
- 1.1 Brief About McSema and Remill
- 1.2 Benefits of Raising the Binaries to Intermediate Representation
- 2 Related Work
- 3 Methodology
- 3.1 Recovery
- 3.2 CFG Verification
- 3.3 Lifting
- 4 Challenges
- 4.1 Handling Branch Delay Slots
- 4.2 Handling Instruction Cross References
- 4.3 Handling Synchronisation Interface
- 4.4 Handling Instruction Decoding
- 5 Evaluation
- 5.1 Evaluation of Recompilation Lift Mode
- 5.2 Evaluation of Analysis Lift Mode
- 6 Conclusion and Future Plan
- References
- Data Security in Distributed Systems
- Automated Identification of Social Media Bots Using Deepfake Text Detection
- 1 Introduction
- 2 NLP for Bot Detection
- 2.1 Challenges of NLP for Bot Detection
- 2.2 Dataset
- 3 Related Work
- 4 Methodology
- 4.1 BERT
- 4.2 BiLSTM
- 4.3 VLAD
- 4.4 Classifier
- 5 Experiments and Results
- 6 Conclusion and Future Directions
- References
- Landcoin: A Practical Protocol for Transfer-of-Asset
- 1 Introduction
- 2 Background and Motivation
- 3 Architecture of Landcoin Protocol
- 3.1 From a Transfer-of-Value to a Transfer-of-Asset System
- 3.2 From Permissionless to Permissioned Setup
- 3.3 Steps and Requirements of Workflow for Land Management
- 3.4 Mainchain: Parameters and Construction
- 3.5 Sidechain: Placeholder for Private Information
- 3.6 Protocol Stakeholders, Their Roles, and Transaction Types
- 4 Summary of Guarantees
- 5 Implementation Details
- 6 Conclusion
- References
- WiP: A Distributed Approach for Statistical Disclosure Control Technologies
- 1 Introduction
- 2 On SDC Deployment
- 2.1 Roles
- 2.2 Fulfilling the Data Anonymizer Role
- 3 Distributed SDC Tool
- 3.1 Functionalities
- 3.2 Proof-of-Concept Prototype
- 3.3 Research Directions
- 4 Conclusion
- References
- Applied Cryptography
- A Verifiable Lossless Multiple Secret Images Sharing Scheme
- 1 Introduction
- 1.1 Motivation Towards Multiple Secret Images Sharing (MSIS)
- 1.2 Related Works
- 1.3 Limitations
- 1.4 Our Contributions
- 2 Preliminaries
- 3 Proposed Scheme
- 3.1 Shares Generation
- 3.2 Secret Images Reconstruction
- 4 Theoretical Analysis
- 5 Comparison and Experimental Results
- 5.1 Comparison
- 5.2 Experimental Results
- 6 Conclusion
- References
- Experimental Verification of Estimated Block Size of BKZ Algorithm Against LWE
- 1 Introduction
- 2 Preliminaries
- 2.1 Learning with Errors Problem
- 2.2 Lattices
- 2.3 Lattice Problem and Lattices Basis Reduction
- 3 Related Work
- 3.1 2016 Estimate ch11DBLP:confspsussspsAlkimDPS16
- 3.2 Experimental Analysis Against the 2016 Estimate
- 4 Proposed Method
- 5 Results and Discussion
- 5.1 Reliability of the 2016 Estimate
- 5.2 Observation in Smaller Block Sizes
- 5.3 Effect of the Second Intersection
- 6 Conclusion
- References
- WiP: Privacy Enabled Biometric Authentication Based on Proof of Decryption Techniques
- 1 Introduction
- 2 Related Work
- 3 Proposed Solution
- 3.1 Homomorphic HMAC
- 3.2 Biometric Authentication Using Verifiable Computing
- 3.3 Blinding Techniques
- 4 Experiments and Results
- 5 Conclusion and Future Work
- References
- WiP: QoS Based Recommendation System for Efficient Private Inference of CNN Using FHE
- 1 Introduction
- 2 Related Work
- 3 Proposed Method
- 3.1 Optimization Formulation for Pruning CNN
- 3.2 Pruning
- 3.3 Efficient Packing
- 3.4 Recommendation System for Private Inference
- 4 Results and Evaluation
- 4.1 Model Training and Pruning
- 4.2 Private Inference
- 5 Conclusion and Future Work
- References
- Improvement over Montgomery Modular Multiplication
- 1 Introduction
- 2 Overview of the Montgomery Modular Multiplicaton of ch14Mont85
- 3 Proposed Improvement
- 4 Conclusion
- References
- Faster Private Rating Update via Integer-Based Homomorphic Encryption
- 1 Introduction
- 2 Related Works
- 2.1 Arjan's Protocol
- 2.2 Lipmaa and Zhang's Protocol
- 3 Preliminaries
- 3.1 HE1N Encryption Scheme
- 3.2 Secure Bit Decomposition (SBD)
- 4 Proposed Protocol
- 4.1 Privacy Analysis
- 5 Performance Evaluation
- 5.1 Communication Cost
- 5.2 Computation Cost
- 5.3 Storage Cost
- 5.4 Experimental Results
- 6 Conclusion
- A Secure Bit Decomposition (SBD)
- References
- Author Index
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