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Decision and game theory for security : 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings / / edited by Fei Fang, Haifeng Xu, and Yezekael Hayel
| Decision and game theory for security : 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings / / edited by Fei Fang, Haifeng Xu, and Yezekael Hayel |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (324 pages) |
| Disciplina | 016.391 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Game theory
Computer security |
| ISBN | 3-031-26369-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deception in Security -- The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender under Uncertainty? .-Casino Rationale: Countering attacker deception in zero-sum Stackelberg security games of bounded rationality -- Cyber Deception against Zero-day Attacks: A Game Theoretic Approach -- Planning and Learning in Dynamic Enviroments -- On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers -- Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment -- Robust Moving Target Defense against Unknown Attacks: A Meta-Reinforcement Learning Approach -- Security Games -- Synchronization in Security Games -- Multiple Oracle Algorithm to Solve Continuous Games -- Optimal Pursuit of Surveilling Agents near a High Value Target -- Adversarial Learning and Optimization -- On Poisoned Wardrop Equilibrium in Congestion Games -- Reward Delay Attacks on Deep Reinforcement Learning -- An Exploration of Poisoning Attacks on Data-based Decision Making -- Novel Applications and new Game Models -- A Network Centrality Game for Epidemic Control -- Optimizing Intrusion Detection Systems Placement against Network Virus Spreading using a Partially Observable Stochastic Minimum-Threat Path Game -- Voting Games to Model Protocol Stability and Security of Proof-of-Work Cryptocurrencies. |
| Record Nr. | UNINA-9910659484703321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Decision and game theory for security : 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings / / edited by Fei Fang, Haifeng Xu, and Yezekael Hayel
| Decision and game theory for security : 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings / / edited by Fei Fang, Haifeng Xu, and Yezekael Hayel |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (324 pages) |
| Disciplina | 016.391 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Game theory
Computer security |
| ISBN | 3-031-26369-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deception in Security -- The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender under Uncertainty? .-Casino Rationale: Countering attacker deception in zero-sum Stackelberg security games of bounded rationality -- Cyber Deception against Zero-day Attacks: A Game Theoretic Approach -- Planning and Learning in Dynamic Enviroments -- On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers -- Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment -- Robust Moving Target Defense against Unknown Attacks: A Meta-Reinforcement Learning Approach -- Security Games -- Synchronization in Security Games -- Multiple Oracle Algorithm to Solve Continuous Games -- Optimal Pursuit of Surveilling Agents near a High Value Target -- Adversarial Learning and Optimization -- On Poisoned Wardrop Equilibrium in Congestion Games -- Reward Delay Attacks on Deep Reinforcement Learning -- An Exploration of Poisoning Attacks on Data-based Decision Making -- Novel Applications and new Game Models -- A Network Centrality Game for Epidemic Control -- Optimizing Intrusion Detection Systems Placement against Network Virus Spreading using a Partially Observable Stochastic Minimum-Threat Path Game -- Voting Games to Model Protocol Stability and Security of Proof-of-Work Cryptocurrencies. |
| Record Nr. | UNISA-996511871603316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Guía de Usuario de Amazon Echo : Dot, Show, Spot, Look, además de la completa guía de usuario y consejos / / Bob Babson
| Guía de Usuario de Amazon Echo : Dot, Show, Spot, Look, además de la completa guía de usuario y consejos / / Bob Babson |
| Autore | Babson Bob |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Bob Babson, , [2020] |
| Descrizione fisica | 1 online resource (38 pages) |
| Disciplina | 016.391 |
| Soggetto topico | Computer security |
| ISBN | 1-0715-6746-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Nota di contenuto | Intro -- Título -- Derechos de Autor -- Guía de usuario de Amazon Echo: Dot, Show, Spot, Look, además de la completa guía de usuario y consejos. |
| Record Nr. | UNINA-9910794479403321 |
Babson Bob
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| [Place of publication not identified] : , : Bob Babson, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Guía de Usuario de Amazon Echo : Dot, Show, Spot, Look, además de la completa guía de usuario y consejos / / Bob Babson
| Guía de Usuario de Amazon Echo : Dot, Show, Spot, Look, además de la completa guía de usuario y consejos / / Bob Babson |
| Autore | Babson Bob |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Bob Babson, , [2020] |
| Descrizione fisica | 1 online resource (38 pages) |
| Disciplina | 016.391 |
| Soggetto topico | Computer security |
| ISBN | 1-0715-6746-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Nota di contenuto | Intro -- Título -- Derechos de Autor -- Guía de usuario de Amazon Echo: Dot, Show, Spot, Look, además de la completa guía de usuario y consejos. |
| Record Nr. | UNINA-9910812691703321 |
|
Babson Bob
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| [Place of publication not identified] : , : Bob Babson, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information systems security : 8th International Conference, ICISS 2022, Tirupati, India, December 16-20, 2022, proceedings / / edited by Venkata Ramana Badarla, Surya Nepal, and Rudrapatna K. Shyamasundar
| Information systems security : 8th International Conference, ICISS 2022, Tirupati, India, December 16-20, 2022, proceedings / / edited by Venkata Ramana Badarla, Surya Nepal, and Rudrapatna K. Shyamasundar |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (297 pages) |
| Disciplina | 016.391 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Computer security |
| ISBN | 3-031-23690-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynote Addresses -- The Rise of Cyber Physical Security -- Research and Engineering Challenges of Blockchain and Web3 -- Security and Privacy in Federated Learning -- Web3 and the Interoperability of Asset Networks -- Abstracts of Invited Addresses -- Securing Cyber-Physical and IoT Systems in Smart Living Environments -- Advanced Persistent Threats: A Study in Indian Context -- Technology Transfer from Security Research Projects: A Personal Perspective -- Contents -- Ostinato: Cross-host Attack Correlation Through Attack Activity Similarity Detection -- 1 Introduction -- 2 Problem Description -- 3 Approach and Architecture -- 3.1 Tagged Provenance Graphs -- 3.2 Identifying Similar Nodes -- 3.3 Edge Label Similarity -- 3.4 Graph Similarity Detection -- 4 Evaluation -- 4.1 Ostinato Efficacy -- 4.2 Node Similarity Accuracy -- 4.3 Run-Time Performance -- 4.4 Threat Alert Fatigue Mitigation -- 4.5 Comparison with Other Tools -- 5 Related Work -- 6 Conclusion -- References -- DKS-PKI: A Distributed Key Server Architecture for Public Key Infrastructure -- 1 Introduction -- 2 Related Work -- 3 DKS-PKI Architecture -- 3.1 Overview -- 3.2 Node Operations -- 3.3 Authoritative Signing Keys (ASKs) -- 3.4 Certificate Registration/Issuance and Storage -- 3.5 Certificate Distribution -- 3.6 Certificate Revocation -- 3.7 Stored-Data Validation -- 4 Evaluation -- 4.1 Security Analysis -- 4.2 Implementation -- 4.3 Experimental Environment -- 4.4 Performance Analysis -- 5 Conclusion -- References -- Generating-Set Evaluation of Bloom Filter Hardening Techniques in Private Record Linkage -- 1 Introduction -- 2 Background and Related Work -- 2.1 Linkage with Bloom Filters -- 2.2 Hardening Bloom Filters -- 2.3 Privacy Measures -- 3 Generating-Sets and Amplification -- 3.1 Generating-Set Amplification Factor.
3.2 Amplification Factor in Deterministic Methods -- 3.3 Amplification Factor in Probabilistic Methods -- 4 Parameter Selection in Probabilistic Methods -- 5 Empirical Evaluation -- 5.1 Setup -- 5.2 Bit Frequency Measures -- 5.3 Generating-Set Amplification Factor -- 5.4 Linkage Quality -- 5.5 Discussion -- 6 Conclusion and Future Work -- References -- .26em plus .1em minus .1emSHIELD: A Multimodal Deep Learning Framework for Android Malware Detection -- 1 Introduction -- 2 Related Work -- 2.1 Static Analysis Based Android Malware Detection Techniques -- 2.2 Dynamic Analysis Based Android Malware Detection Techniques -- 2.3 Hybrid Analysis Based Android Malware Detection Techniques -- 3 SHIELD: The Proposed Framework -- 3.1 Feature Extraction -- 3.2 Markov Image Generation -- 3.3 Network Construction -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Evaluation Environment -- 4.3 Performance Analysis Based Markov Images Separately -- 4.4 Performance Analysis Based on Multimodal Latent Features -- 4.5 Unknown Malware Family Detection -- 4.6 Backdoor Analysis -- 4.7 Comparison with State-of-the-Art Work -- 5 Conclusion and Future Work -- References -- Samyukta: A Unified Access Control Model using Roles, Labels, and Attributes -- 1 Introduction -- 2 Related Work -- 3 Need for a Unified Model -- 4 Preliminaries -- 4.1 Readers-Writers Flow Model -- 5 Samyukta: A Unified Access Control Model -- 5.1 Formal Specification -- 5.2 Request Flow in Samyukta -- 5.3 Authorization Procedure -- 6 Effectiveness of Samyukta -- 6.1 Merits of Samyukta -- 7 Experimental Analysis -- 8 Conclusions -- References -- Efficient and Effective Static Android Malware Detection Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Feature Set -- 3.3 Machine Learning Classifier -- 3.4 Evaluation. 4 Comparison with Existing Approaches -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Attacks on ML Systems: From Security Analysis to Attack Mitigation -- 1 Introduction -- 2 ML Systems and Attacks -- 2.1 ML Systems Have Three Main Perspectives -- 2.2 Adversarial Attacks -- 3 Security Analysis Requirements of ML Systems -- 3.1 ML System Security Analysis Requirements -- 3.2 Limitations of Prior Work on ML Security Analysis -- 4 Proposed Approach -- 4.1 The AI Security Causality Graph -- 4.2 The ML System Dependency Graph -- 4.3 Using the ML-SSA Approach to Analyze the Word Translation Attacks -- 5 AI Security Analysis and Attack Mitigation -- 5.1 Using the Example Word-to-Word Translation ML System to Illustrate Relevant Mitigation Strategies -- 6 Conclusion and Future Directions -- References -- MILSA: Model Interpretation Based Label Sniffing Attack in Federated Learning -- 1 Introduction -- 2 Background and Related Works -- 2.1 Federated Learning -- 2.2 Shapley Value -- 2.3 Inference Attacks -- 3 Threat Model -- 4 MILSA: The Proposed Attack -- 5 Experiments and Results -- 5.1 Experimental Setup -- 5.2 Results -- 6 The Proposed Defense -- 7 Conclusion -- References -- IoTInDet: Detecting Internet of Things Intrusions with Class Scatter Ratio and Hellinger Distance Statistics -- 1 Introduction -- 2 Related Works -- 3 IoTInDet Methodology -- 3.1 Class Scatter Ratio Based Feature Selection -- 3.2 Hellinger Distance Chart Generation -- 3.3 IoT Normal Traffic Description -- 3.4 IoT Traffic Intrusion Detection -- 4 Experimental Results -- 5 Conclusion -- References -- Detecting Cloud Originated DDoS Attacks at the Source Using Out-Cloud Attack Detection (OCAD) -- 1 Introduction -- 2 Related Work -- 3 Cloud-Based DDoS Attacks -- 4 Out-Cloud Attack Cases in Cloud -- 4.1 An Attacker in the Cloud -- 4.2 A Reflector Server in the Cloud. 5 Out-Cloud Attack Detection (OCAD) -- 5.1 Traffic Directions -- 5.2 Virtual Interfaces vs Real Interfaces -- 5.3 Case 1: An Attacker in the Cloud -- 5.4 Case 2: A Reflector Server in the Cloud -- 5.5 OCAD Modules -- 6 Experimental Evaluation -- 6.1 Experimental Setup -- 6.2 Amplification Attack -- 6.3 Reflection Attack -- 6.4 Experimental Results -- 7 Discussion -- 8 Conclusions -- References -- Mining Attribute-Based Access Control Policies -- 1 Introduction -- 2 Overview of ABAC -- 3 Related Work -- 4 ABAC Policy Extraction -- 4.1 Policy Mining -- 4.2 Policy Extraction Using Machine Learning -- 5 Experimental Evaluation -- 5.1 Performance of Policy Mining Approach -- 5.2 Performance of ABAC Policies with Constraints -- 5.3 Performance of Policy Extraction Using Machine Learning -- 6 Conclusion -- References -- Preventing Privacy-Violating Information Flows in JavaScript Applications Using Dynamic Labelling -- 1 Introduction -- 2 Background -- 2.1 A Brief Introduction to IFC -- 2.2 Dynamic Labelling (DL) Algorithm ch12secrypt18,ch12ghosal2018compile -- 2.3 Readers-Writers Flow Model (RWFM) ch12kumar2017complete -- 3 Security Challenges and Our Approach -- 3.1 Flow Sensitivity -- 3.2 Termination Sensitivity -- 3.3 Eval Statement -- 3.4 Declassification -- 4 Solution for Preventing Privacy-Violating Flows -- 5 Related Work -- 6 Conclusions and Future Work -- References -- On the Impact of Model Tolerance in Power Grid Anomaly Detection Systems -- 1 Introduction -- 2 Background and Related Work -- 2.1 Demand Manipulation Attacks -- 2.2 Anomaly Detection Mechanism -- 2.3 Related Work -- 3 Methodology -- 3.1 Power Consumption Data -- 3.2 Model Training -- 3.3 Anomaly Score -- 3.4 Thresholding Mechanism -- 3.5 Attack Profiles -- 4 Threshold Selection -- 4.1 The Threshold Dilemma -- 5 Model Tolerance and Impact -- 6 Conclusion and Future Work. References -- WiP: Control Plane Saturation Attack Mitigation in Software Defined Networks -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 Saturation Attack Detection -- 3.2 Attack Mitigation -- 4 Experiments and Evaluation -- 5 Conclusion -- References -- WiP: EventTracker-Event Driven Evidence Collection for Digital Forensics -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 4 Implementation and Evaluation -- 4.1 System Setup -- 4.2 Evaluation -- 4.3 Measurement Study -- 4.4 Comparison with Existing Tools -- 5 Conclusion -- References -- WiP: Characterizing the Impact of Multiplexed DoS Attacks on HTTP and Detection -- 1 Introduction -- 2 Impact Study -- 3 Detecting Attacks -- 4 Experiments and Evaluation -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910634049003321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information systems security : 8th International Conference, ICISS 2022, Tirupati, India, December 16-20, 2022, proceedings / / edited by Venkata Ramana Badarla, Surya Nepal, and Rudrapatna K. Shyamasundar
| Information systems security : 8th International Conference, ICISS 2022, Tirupati, India, December 16-20, 2022, proceedings / / edited by Venkata Ramana Badarla, Surya Nepal, and Rudrapatna K. Shyamasundar |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (297 pages) |
| Disciplina | 016.391 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Computer security |
| ISBN | 3-031-23690-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynote Addresses -- The Rise of Cyber Physical Security -- Research and Engineering Challenges of Blockchain and Web3 -- Security and Privacy in Federated Learning -- Web3 and the Interoperability of Asset Networks -- Abstracts of Invited Addresses -- Securing Cyber-Physical and IoT Systems in Smart Living Environments -- Advanced Persistent Threats: A Study in Indian Context -- Technology Transfer from Security Research Projects: A Personal Perspective -- Contents -- Ostinato: Cross-host Attack Correlation Through Attack Activity Similarity Detection -- 1 Introduction -- 2 Problem Description -- 3 Approach and Architecture -- 3.1 Tagged Provenance Graphs -- 3.2 Identifying Similar Nodes -- 3.3 Edge Label Similarity -- 3.4 Graph Similarity Detection -- 4 Evaluation -- 4.1 Ostinato Efficacy -- 4.2 Node Similarity Accuracy -- 4.3 Run-Time Performance -- 4.4 Threat Alert Fatigue Mitigation -- 4.5 Comparison with Other Tools -- 5 Related Work -- 6 Conclusion -- References -- DKS-PKI: A Distributed Key Server Architecture for Public Key Infrastructure -- 1 Introduction -- 2 Related Work -- 3 DKS-PKI Architecture -- 3.1 Overview -- 3.2 Node Operations -- 3.3 Authoritative Signing Keys (ASKs) -- 3.4 Certificate Registration/Issuance and Storage -- 3.5 Certificate Distribution -- 3.6 Certificate Revocation -- 3.7 Stored-Data Validation -- 4 Evaluation -- 4.1 Security Analysis -- 4.2 Implementation -- 4.3 Experimental Environment -- 4.4 Performance Analysis -- 5 Conclusion -- References -- Generating-Set Evaluation of Bloom Filter Hardening Techniques in Private Record Linkage -- 1 Introduction -- 2 Background and Related Work -- 2.1 Linkage with Bloom Filters -- 2.2 Hardening Bloom Filters -- 2.3 Privacy Measures -- 3 Generating-Sets and Amplification -- 3.1 Generating-Set Amplification Factor.
3.2 Amplification Factor in Deterministic Methods -- 3.3 Amplification Factor in Probabilistic Methods -- 4 Parameter Selection in Probabilistic Methods -- 5 Empirical Evaluation -- 5.1 Setup -- 5.2 Bit Frequency Measures -- 5.3 Generating-Set Amplification Factor -- 5.4 Linkage Quality -- 5.5 Discussion -- 6 Conclusion and Future Work -- References -- .26em plus .1em minus .1emSHIELD: A Multimodal Deep Learning Framework for Android Malware Detection -- 1 Introduction -- 2 Related Work -- 2.1 Static Analysis Based Android Malware Detection Techniques -- 2.2 Dynamic Analysis Based Android Malware Detection Techniques -- 2.3 Hybrid Analysis Based Android Malware Detection Techniques -- 3 SHIELD: The Proposed Framework -- 3.1 Feature Extraction -- 3.2 Markov Image Generation -- 3.3 Network Construction -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Evaluation Environment -- 4.3 Performance Analysis Based Markov Images Separately -- 4.4 Performance Analysis Based on Multimodal Latent Features -- 4.5 Unknown Malware Family Detection -- 4.6 Backdoor Analysis -- 4.7 Comparison with State-of-the-Art Work -- 5 Conclusion and Future Work -- References -- Samyukta: A Unified Access Control Model using Roles, Labels, and Attributes -- 1 Introduction -- 2 Related Work -- 3 Need for a Unified Model -- 4 Preliminaries -- 4.1 Readers-Writers Flow Model -- 5 Samyukta: A Unified Access Control Model -- 5.1 Formal Specification -- 5.2 Request Flow in Samyukta -- 5.3 Authorization Procedure -- 6 Effectiveness of Samyukta -- 6.1 Merits of Samyukta -- 7 Experimental Analysis -- 8 Conclusions -- References -- Efficient and Effective Static Android Malware Detection Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Feature Set -- 3.3 Machine Learning Classifier -- 3.4 Evaluation. 4 Comparison with Existing Approaches -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Attacks on ML Systems: From Security Analysis to Attack Mitigation -- 1 Introduction -- 2 ML Systems and Attacks -- 2.1 ML Systems Have Three Main Perspectives -- 2.2 Adversarial Attacks -- 3 Security Analysis Requirements of ML Systems -- 3.1 ML System Security Analysis Requirements -- 3.2 Limitations of Prior Work on ML Security Analysis -- 4 Proposed Approach -- 4.1 The AI Security Causality Graph -- 4.2 The ML System Dependency Graph -- 4.3 Using the ML-SSA Approach to Analyze the Word Translation Attacks -- 5 AI Security Analysis and Attack Mitigation -- 5.1 Using the Example Word-to-Word Translation ML System to Illustrate Relevant Mitigation Strategies -- 6 Conclusion and Future Directions -- References -- MILSA: Model Interpretation Based Label Sniffing Attack in Federated Learning -- 1 Introduction -- 2 Background and Related Works -- 2.1 Federated Learning -- 2.2 Shapley Value -- 2.3 Inference Attacks -- 3 Threat Model -- 4 MILSA: The Proposed Attack -- 5 Experiments and Results -- 5.1 Experimental Setup -- 5.2 Results -- 6 The Proposed Defense -- 7 Conclusion -- References -- IoTInDet: Detecting Internet of Things Intrusions with Class Scatter Ratio and Hellinger Distance Statistics -- 1 Introduction -- 2 Related Works -- 3 IoTInDet Methodology -- 3.1 Class Scatter Ratio Based Feature Selection -- 3.2 Hellinger Distance Chart Generation -- 3.3 IoT Normal Traffic Description -- 3.4 IoT Traffic Intrusion Detection -- 4 Experimental Results -- 5 Conclusion -- References -- Detecting Cloud Originated DDoS Attacks at the Source Using Out-Cloud Attack Detection (OCAD) -- 1 Introduction -- 2 Related Work -- 3 Cloud-Based DDoS Attacks -- 4 Out-Cloud Attack Cases in Cloud -- 4.1 An Attacker in the Cloud -- 4.2 A Reflector Server in the Cloud. 5 Out-Cloud Attack Detection (OCAD) -- 5.1 Traffic Directions -- 5.2 Virtual Interfaces vs Real Interfaces -- 5.3 Case 1: An Attacker in the Cloud -- 5.4 Case 2: A Reflector Server in the Cloud -- 5.5 OCAD Modules -- 6 Experimental Evaluation -- 6.1 Experimental Setup -- 6.2 Amplification Attack -- 6.3 Reflection Attack -- 6.4 Experimental Results -- 7 Discussion -- 8 Conclusions -- References -- Mining Attribute-Based Access Control Policies -- 1 Introduction -- 2 Overview of ABAC -- 3 Related Work -- 4 ABAC Policy Extraction -- 4.1 Policy Mining -- 4.2 Policy Extraction Using Machine Learning -- 5 Experimental Evaluation -- 5.1 Performance of Policy Mining Approach -- 5.2 Performance of ABAC Policies with Constraints -- 5.3 Performance of Policy Extraction Using Machine Learning -- 6 Conclusion -- References -- Preventing Privacy-Violating Information Flows in JavaScript Applications Using Dynamic Labelling -- 1 Introduction -- 2 Background -- 2.1 A Brief Introduction to IFC -- 2.2 Dynamic Labelling (DL) Algorithm ch12secrypt18,ch12ghosal2018compile -- 2.3 Readers-Writers Flow Model (RWFM) ch12kumar2017complete -- 3 Security Challenges and Our Approach -- 3.1 Flow Sensitivity -- 3.2 Termination Sensitivity -- 3.3 Eval Statement -- 3.4 Declassification -- 4 Solution for Preventing Privacy-Violating Flows -- 5 Related Work -- 6 Conclusions and Future Work -- References -- On the Impact of Model Tolerance in Power Grid Anomaly Detection Systems -- 1 Introduction -- 2 Background and Related Work -- 2.1 Demand Manipulation Attacks -- 2.2 Anomaly Detection Mechanism -- 2.3 Related Work -- 3 Methodology -- 3.1 Power Consumption Data -- 3.2 Model Training -- 3.3 Anomaly Score -- 3.4 Thresholding Mechanism -- 3.5 Attack Profiles -- 4 Threshold Selection -- 4.1 The Threshold Dilemma -- 5 Model Tolerance and Impact -- 6 Conclusion and Future Work. References -- WiP: Control Plane Saturation Attack Mitigation in Software Defined Networks -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 Saturation Attack Detection -- 3.2 Attack Mitigation -- 4 Experiments and Evaluation -- 5 Conclusion -- References -- WiP: EventTracker-Event Driven Evidence Collection for Digital Forensics -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 4 Implementation and Evaluation -- 4.1 System Setup -- 4.2 Evaluation -- 4.3 Measurement Study -- 4.4 Comparison with Existing Tools -- 5 Conclusion -- References -- WiP: Characterizing the Impact of Multiplexed DoS Attacks on HTTP and Detection -- 1 Introduction -- 2 Impact Study -- 3 Detecting Attacks -- 4 Experiments and Evaluation -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNISA-996503470303316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Provable and practical security : 16th International Conference, ProvSec 2022, Nanjing, China, November 11-12, 2022, proceedings / / edited by Chunpeng Ge and Fuchun Guo
| Provable and practical security : 16th International Conference, ProvSec 2022, Nanjing, China, November 11-12, 2022, proceedings / / edited by Chunpeng Ge and Fuchun Guo |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (292 pages) |
| Disciplina | 016.391 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer security
Data encryption (Computer science) |
| ISBN | 3-031-20917-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996500065503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Provable and practical security : 16th International Conference, ProvSec 2022, Nanjing, China, November 11-12, 2022, proceedings / / edited by Chunpeng Ge and Fuchun Guo
| Provable and practical security : 16th International Conference, ProvSec 2022, Nanjing, China, November 11-12, 2022, proceedings / / edited by Chunpeng Ge and Fuchun Guo |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (292 pages) |
| Disciplina | 016.391 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer security
Data encryption (Computer science) |
| ISBN | 3-031-20917-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910624307603321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Security and privacy in digital economy : first international conference, SPDE 2020, Quzhou, China, October 30-November 1, 2020, proceedings / / edited by Shui Yu, Peter Mueller, Jiangbo Qian
| Security and privacy in digital economy : first international conference, SPDE 2020, Quzhou, China, October 30-November 1, 2020, proceedings / / edited by Shui Yu, Peter Mueller, Jiangbo Qian |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XV, 753 p. 312 illus., 216 illus. in color.) |
| Disciplina | 016.391 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks - Security measures
Data encryption (Computer science) Computer security |
| ISBN | 981-15-9129-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cyberspace Security -- Privacy Protection -- Anomaly and Intrusion Detection -- Trust Computation and Forensics -- Attacks and Countermeasures -- Covert Communication -- Security Protocol -- Anonymous Communication -- Security and Privacy from Social Science. |
| Record Nr. | UNINA-9910427703403321 |
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Security and privacy in digital economy : first international conference, SPDE 2020, Quzhou, China, October 30-November 1, 2020, proceedings / / edited by Shui Yu, Peter Mueller, Jiangbo Qian
| Security and privacy in digital economy : first international conference, SPDE 2020, Quzhou, China, October 30-November 1, 2020, proceedings / / edited by Shui Yu, Peter Mueller, Jiangbo Qian |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XV, 753 p. 312 illus., 216 illus. in color.) |
| Disciplina | 016.391 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks - Security measures
Data encryption (Computer science) Computer security |
| ISBN | 981-15-9129-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cyberspace Security -- Privacy Protection -- Anomaly and Intrusion Detection -- Trust Computation and Forensics -- Attacks and Countermeasures -- Covert Communication -- Security Protocol -- Anonymous Communication -- Security and Privacy from Social Science. |
| Record Nr. | UNISA-996465352003316 |
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
