The Experts below are selected from a list of 57 Experts worldwide ranked by ideXlab platform
Manfred Schimmler - One of the best experts on this subject based on the ideXlab platform.
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CHES - Breaking ciphers with COPACOBANA –a cost-optimized parallel code breaker
Lecture Notes in Computer Science, 2006Co-Authors: Sandeep Shankaran Kumar, Christof Paar, Jan Pelzl, Gerd Pfeiffer, Manfred SchimmlerAbstract:Cryptanalysis of symmetric and asymmetric ciphers is computationally extremely demanding. Since the security parameters (in particular the key length) of almost all practical crypto algorithms are chosen such that Attacks with conventional computers are computationally infeasible, the only promising way to tackle existing ciphers (assuming no mathematical breakthrough) is to build special-purpose hardware. Dedicating those Machines to the task of cryptanalysis holds the promise of a dramatically improved cost-performance ratio so that breaking of commercial ciphers comes within reach. This contribution presents the design and realization of the COPACOBANA (Cost-Optimized Parallel Code Breaker) Machine, which is optimized for running cryptanalytical algorithms and can be realized for less than US$ 10,000. It will be shown that, depending on the actual algorithm, the architecture can outperform conventional computers by several orders in magnitude. COPACOBANA hosts 120 low-cost FPGAs and is able to, e.g., perform an exhaustive key search of the Data Encryption Standard (DES) in less than nine days on average. As a real-world application, our architecture can be used to Attack Machine readable travel documents (ePass). COPACOBANA is intended, but not necessarily restricted to solving problems related to cryptanalysis. The hardware architecture is suitable for computational problems which are parallelizable and have low communication requirements. The hardware can be used, e.g., to Attack elliptic curve cryptosystems and to factor numbers. Even though breaking full-size RSA (1024 bit or more) or elliptic curves (ECC with 160 bit or more) is out of reach with COPACOBANA, it can be used to analyze cryptosystems with a (deliberately chosen) small bitlength to provide reliable security estimates of RSA and ECC by extrapolation.
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breaking ciphers with copacobana a cost optimized parallel code breaker
Lecture Notes in Computer Science, 2006Co-Authors: Sandeep Shankaran Kumar, Christof Paar, Jan Pelzl, Gerd Pfeiffer, Manfred SchimmlerAbstract:Cryptanalysis of symmetric and asymmetric ciphers is computationally extremely demanding. Since the security parameters (in particular the key length) of almost all practical crypto algorithms are chosen such that Attacks with conventional computers are computationally infeasible, the only promising way to tackle existing ciphers (assuming no mathematical breakthrough) is to build special-purpose hardware. Dedicating those Machines to the task of cryptanalysis holds the promise of a dramatically improved cost-performance ratio so that breaking of commercial ciphers comes within reach. This contribution presents the design and realization of the COPACOBANA (Cost-Optimized Parallel Code Breaker) Machine, which is optimized for running cryptanalytical algorithms and can be realized for less than US$ 10,000. It will be shown that, depending on the actual algorithm, the architecture can outperform conventional computers by several orders in magnitude. COPACOBANA hosts 120 low-cost FP-GAs and is able to, e.g., perform an exhaustive key search of the Data Encryption Standard (DES) in less than nine days on average. As a real-world application, our architecture can be used to Attack Machine readable travel documents (ePass). COPACOBANA is intended, but not necessarily restricted to solving problems related to cryptanalysis. The hardware architecture is suitable for computational problems which are parallelizable and have low communication requirements. The hardware can be used, e.g., to Attack elliptic curve cryptosystems and to factor numbers. Even though breaking full-size RSA (1024 bit or more) or elliptic curves (ECC with 160 bit or more) is out of reach with COPACOBANA, it can be used to analyze cryptosystems with a (deliberately chosen) small bitlength to provide reliable security estimates of RSA and ECC by extrapolation 1 .
Raj Jain - One of the best experts on this subject based on the ideXlab platform.
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Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
arXiv: Cryptography and Security, 2019Co-Authors: Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj JainAbstract:It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an Attack. Machine learning and big data analytics are the two powerful leverages for analyzing and securing the Internet of Things (IoT) technology. By extension, these techniques can help improve the security of the IIoT systems as well. In this paper, we first present common IIoT protocols and their associated vulnerabilities. Then, we run a cyber-vulnerability assessment and discuss the utilization of Machine learning in countering these susceptibilities. Following that, a literature review of the available intrusion detection solutions using Machine learning models is presented. Finally, we discuss our case study, which includes details of a real-world testbed that we have built to conduct cyber-Attacks and to design an intrusion detection system (IDS). We deploy backdoor, command injection, and Structured Query Language (SQL) injection Attacks against the system and demonstrate how a Machine learning based anomaly detection system can perform well in detecting these Attacks. We have evaluated the performance through representative metrics to have a fair point of view on the effectiveness of the methods.
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Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
IEEE Internet of Things Journal, 2019Co-Authors: Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj JainAbstract:It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an Attack. Machine learning (ML) and big data analytics are the two powerful leverages for analyzing and securing the Internet of Things (IoT) technology. By extension, these techniques can help improve the security of the IIoT systems as well. In this paper, we first present common IIoT protocols and their associated vulnerabilities. Then, we run a cyber-vulnerability assessment and discuss the utilization of ML in countering these susceptibilities. Following that, a literature review of the available intrusion detection solutions using ML models is presented. Finally, we discuss our case study, which includes details of a real-world testbed that we have built to conduct cyber-Attacks and to design an intrusion detection system (IDS). We deploy backdoor, command injection, and Structured Query Language (SQL) injection Attacks against the system and demonstrate how a ML-based anomaly detection system can perform well in detecting these Attacks. We have evaluated the performance through representative metrics to have a fair point of view on the effectiveness of the methods.
Sandeep Shankaran Kumar - One of the best experts on this subject based on the ideXlab platform.
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CHES - Breaking ciphers with COPACOBANA –a cost-optimized parallel code breaker
Lecture Notes in Computer Science, 2006Co-Authors: Sandeep Shankaran Kumar, Christof Paar, Jan Pelzl, Gerd Pfeiffer, Manfred SchimmlerAbstract:Cryptanalysis of symmetric and asymmetric ciphers is computationally extremely demanding. Since the security parameters (in particular the key length) of almost all practical crypto algorithms are chosen such that Attacks with conventional computers are computationally infeasible, the only promising way to tackle existing ciphers (assuming no mathematical breakthrough) is to build special-purpose hardware. Dedicating those Machines to the task of cryptanalysis holds the promise of a dramatically improved cost-performance ratio so that breaking of commercial ciphers comes within reach. This contribution presents the design and realization of the COPACOBANA (Cost-Optimized Parallel Code Breaker) Machine, which is optimized for running cryptanalytical algorithms and can be realized for less than US$ 10,000. It will be shown that, depending on the actual algorithm, the architecture can outperform conventional computers by several orders in magnitude. COPACOBANA hosts 120 low-cost FPGAs and is able to, e.g., perform an exhaustive key search of the Data Encryption Standard (DES) in less than nine days on average. As a real-world application, our architecture can be used to Attack Machine readable travel documents (ePass). COPACOBANA is intended, but not necessarily restricted to solving problems related to cryptanalysis. The hardware architecture is suitable for computational problems which are parallelizable and have low communication requirements. The hardware can be used, e.g., to Attack elliptic curve cryptosystems and to factor numbers. Even though breaking full-size RSA (1024 bit or more) or elliptic curves (ECC with 160 bit or more) is out of reach with COPACOBANA, it can be used to analyze cryptosystems with a (deliberately chosen) small bitlength to provide reliable security estimates of RSA and ECC by extrapolation.
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breaking ciphers with copacobana a cost optimized parallel code breaker
Lecture Notes in Computer Science, 2006Co-Authors: Sandeep Shankaran Kumar, Christof Paar, Jan Pelzl, Gerd Pfeiffer, Manfred SchimmlerAbstract:Cryptanalysis of symmetric and asymmetric ciphers is computationally extremely demanding. Since the security parameters (in particular the key length) of almost all practical crypto algorithms are chosen such that Attacks with conventional computers are computationally infeasible, the only promising way to tackle existing ciphers (assuming no mathematical breakthrough) is to build special-purpose hardware. Dedicating those Machines to the task of cryptanalysis holds the promise of a dramatically improved cost-performance ratio so that breaking of commercial ciphers comes within reach. This contribution presents the design and realization of the COPACOBANA (Cost-Optimized Parallel Code Breaker) Machine, which is optimized for running cryptanalytical algorithms and can be realized for less than US$ 10,000. It will be shown that, depending on the actual algorithm, the architecture can outperform conventional computers by several orders in magnitude. COPACOBANA hosts 120 low-cost FP-GAs and is able to, e.g., perform an exhaustive key search of the Data Encryption Standard (DES) in less than nine days on average. As a real-world application, our architecture can be used to Attack Machine readable travel documents (ePass). COPACOBANA is intended, but not necessarily restricted to solving problems related to cryptanalysis. The hardware architecture is suitable for computational problems which are parallelizable and have low communication requirements. The hardware can be used, e.g., to Attack elliptic curve cryptosystems and to factor numbers. Even though breaking full-size RSA (1024 bit or more) or elliptic curves (ECC with 160 bit or more) is out of reach with COPACOBANA, it can be used to analyze cryptosystems with a (deliberately chosen) small bitlength to provide reliable security estimates of RSA and ECC by extrapolation 1 .
Maede Zolanvari - One of the best experts on this subject based on the ideXlab platform.
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Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
arXiv: Cryptography and Security, 2019Co-Authors: Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj JainAbstract:It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an Attack. Machine learning and big data analytics are the two powerful leverages for analyzing and securing the Internet of Things (IoT) technology. By extension, these techniques can help improve the security of the IIoT systems as well. In this paper, we first present common IIoT protocols and their associated vulnerabilities. Then, we run a cyber-vulnerability assessment and discuss the utilization of Machine learning in countering these susceptibilities. Following that, a literature review of the available intrusion detection solutions using Machine learning models is presented. Finally, we discuss our case study, which includes details of a real-world testbed that we have built to conduct cyber-Attacks and to design an intrusion detection system (IDS). We deploy backdoor, command injection, and Structured Query Language (SQL) injection Attacks against the system and demonstrate how a Machine learning based anomaly detection system can perform well in detecting these Attacks. We have evaluated the performance through representative metrics to have a fair point of view on the effectiveness of the methods.
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Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
IEEE Internet of Things Journal, 2019Co-Authors: Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj JainAbstract:It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an Attack. Machine learning (ML) and big data analytics are the two powerful leverages for analyzing and securing the Internet of Things (IoT) technology. By extension, these techniques can help improve the security of the IIoT systems as well. In this paper, we first present common IIoT protocols and their associated vulnerabilities. Then, we run a cyber-vulnerability assessment and discuss the utilization of ML in countering these susceptibilities. Following that, a literature review of the available intrusion detection solutions using ML models is presented. Finally, we discuss our case study, which includes details of a real-world testbed that we have built to conduct cyber-Attacks and to design an intrusion detection system (IDS). We deploy backdoor, command injection, and Structured Query Language (SQL) injection Attacks against the system and demonstrate how a ML-based anomaly detection system can perform well in detecting these Attacks. We have evaluated the performance through representative metrics to have a fair point of view on the effectiveness of the methods.
Jan Pelzl - One of the best experts on this subject based on the ideXlab platform.
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CHES - Breaking ciphers with COPACOBANA –a cost-optimized parallel code breaker
Lecture Notes in Computer Science, 2006Co-Authors: Sandeep Shankaran Kumar, Christof Paar, Jan Pelzl, Gerd Pfeiffer, Manfred SchimmlerAbstract:Cryptanalysis of symmetric and asymmetric ciphers is computationally extremely demanding. Since the security parameters (in particular the key length) of almost all practical crypto algorithms are chosen such that Attacks with conventional computers are computationally infeasible, the only promising way to tackle existing ciphers (assuming no mathematical breakthrough) is to build special-purpose hardware. Dedicating those Machines to the task of cryptanalysis holds the promise of a dramatically improved cost-performance ratio so that breaking of commercial ciphers comes within reach. This contribution presents the design and realization of the COPACOBANA (Cost-Optimized Parallel Code Breaker) Machine, which is optimized for running cryptanalytical algorithms and can be realized for less than US$ 10,000. It will be shown that, depending on the actual algorithm, the architecture can outperform conventional computers by several orders in magnitude. COPACOBANA hosts 120 low-cost FPGAs and is able to, e.g., perform an exhaustive key search of the Data Encryption Standard (DES) in less than nine days on average. As a real-world application, our architecture can be used to Attack Machine readable travel documents (ePass). COPACOBANA is intended, but not necessarily restricted to solving problems related to cryptanalysis. The hardware architecture is suitable for computational problems which are parallelizable and have low communication requirements. The hardware can be used, e.g., to Attack elliptic curve cryptosystems and to factor numbers. Even though breaking full-size RSA (1024 bit or more) or elliptic curves (ECC with 160 bit or more) is out of reach with COPACOBANA, it can be used to analyze cryptosystems with a (deliberately chosen) small bitlength to provide reliable security estimates of RSA and ECC by extrapolation.
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breaking ciphers with copacobana a cost optimized parallel code breaker
Lecture Notes in Computer Science, 2006Co-Authors: Sandeep Shankaran Kumar, Christof Paar, Jan Pelzl, Gerd Pfeiffer, Manfred SchimmlerAbstract:Cryptanalysis of symmetric and asymmetric ciphers is computationally extremely demanding. Since the security parameters (in particular the key length) of almost all practical crypto algorithms are chosen such that Attacks with conventional computers are computationally infeasible, the only promising way to tackle existing ciphers (assuming no mathematical breakthrough) is to build special-purpose hardware. Dedicating those Machines to the task of cryptanalysis holds the promise of a dramatically improved cost-performance ratio so that breaking of commercial ciphers comes within reach. This contribution presents the design and realization of the COPACOBANA (Cost-Optimized Parallel Code Breaker) Machine, which is optimized for running cryptanalytical algorithms and can be realized for less than US$ 10,000. It will be shown that, depending on the actual algorithm, the architecture can outperform conventional computers by several orders in magnitude. COPACOBANA hosts 120 low-cost FP-GAs and is able to, e.g., perform an exhaustive key search of the Data Encryption Standard (DES) in less than nine days on average. As a real-world application, our architecture can be used to Attack Machine readable travel documents (ePass). COPACOBANA is intended, but not necessarily restricted to solving problems related to cryptanalysis. The hardware architecture is suitable for computational problems which are parallelizable and have low communication requirements. The hardware can be used, e.g., to Attack elliptic curve cryptosystems and to factor numbers. Even though breaking full-size RSA (1024 bit or more) or elliptic curves (ECC with 160 bit or more) is out of reach with COPACOBANA, it can be used to analyze cryptosystems with a (deliberately chosen) small bitlength to provide reliable security estimates of RSA and ECC by extrapolation 1 .
