JPJ1425 Security Evaluation of Pattern Classifiers under Attackchennaijp
We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
JPJ1425 Security Evaluation of Pattern Classifiers under Attackchennaijp
We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
Optimizing fault injection in FMI co-simulation through sensitivity partitioningmehmor
As society and industry relies extensively on Cyber-Physical Systems (CPS), any malfunctions can have unforeseen catastrophic failures. Fault Injection (FI) techniques perturb a model of a CPS with the intention of causing a failure and measuring the robustness of the CPS. Naturally, the success of a FI simulation depends on three factors:(i) the realism of the faults injected;(ii) how quickly the faults cause catastrophic failure; and (iii) the fidelity of the model used.
This paper proposes to improve the success rate of FI studies by addressing each one of these factors. An algorithm is presented that leverages traditional sensitivity analysis in hybrid systems to reduce an uncountable fault search space to a optimal finite set (factors and we use co-simulation as the model integration technique (factor iii). We evaluate our contribution on the power window system developed by MathWorks®.
Automating safety engineering with model based techniquesJuha-Pekka Tolvanen
Fault Trees and Failure Models and Effects Analyses are well known methods in safety and reliability engineering. Their use, however, requires a considerable amount of work, in particular when the system evolves and grows. We describe an approach that automates parts of safety design flow. First, existing architecture models can be translated to dependability and error models. Safety engineers can then adapt the models for various safety cases and finally run analysis calling a suitable tool. We demonstrate the approach within automotive domain: System is specified with domain-specific languages and the created models are translated to analysis tools. This approach provides several benefits. It helps to ensure that safety analysis is done for the intended/designed architecture. It also makes safety analysis faster as it is partly automated, reduces error-prone routine work and makes safety analysis easier to use and accessible.
APPLICATION SPECIFIC USAGE CONTROL IMPLEMENTATION VERIFICATIONIJNSA Journal
Usage control is a comprehensive access control model developed to cater the security needs of the wide range of applications. Formal specification of the core usage control models and their expressivity, decidability of safety properties are explored recently. They help us to understand the usability and safety of the model. However, security of the usage control in the practical applications depends on the safety of the model as well as its correct implementation in the application. This paper presents an approach to verify the correctness of the usage control implementation using a semi- formal property verification tool. We also provide an illustrative case study.
Practical Guidelines to Improve Defect Prediction Model – A Reviewinventionjournals
Defect prediction models are used to pinpoint risky software modules and understand past pitfalls that lead to defective modules. The predictions and insights that are derived from defect prediction models may not be accurate and reliable if researchers do not consider the impact of experimental components (e.g., datasets, metrics, and classifiers) of defect prediction modeling. Therefore, a lack of awareness and practical guidelines from previous research can lead to invalid predictions and unreliable insights. Through case studies of systems that span both proprietary and open-source domains, find that (1) noise in defect datasets; (2) parameter settings of classification techniques; and (3) model validation techniques have a large impact on the predictions and insights of defect prediction models, suggesting that researchers should carefully select experimental components in order to produce more accurate and reliable defect prediction models.
Formal method techniques provides a suitable platform for the software development in software systems.
Formal methods and formal verification is necessary to prove the correctness and improve performance of
software systems in various levels of design and implementation, too. Security Discussion is an important
issue in computer systems. Since the antivirus applications have very important role in computer systems
security, verifying these applications is very essential and necessary. In this paper, we present four new
approaches for antivirus system behavior and a behavioral model of protection services in the antivirus
system is proposed. We divided the behavioral model in to preventive behavior and control behavior and
then we formal these behaviors. Finally by using some definitions we explain the way these behaviors are
mapped on each other by using our new approaches.
A hybrid technique for sql injection attacks detection and preventionijdms
SQL injection is a type of attacks used to gain, manipulate, or delete information in any data-driven system
whether this system is online or offline and whether this system is a web or non-web-based. It is
distinguished by the multiplicity of its performing methods, so defense techniques could not detect or
prevent such attacks. The main objective of this paper is to create a reliable and accurate hybrid technique
that secure systems from being exploited by SQL injection attacks. This hybrid technique combines static
and runtime SQL queries analysis to create a defense strategy that can detect and prevent various types of
SQL injection attacks. To evaluate this suggested technique, a large set of SQL queries have been executed
through a simulation that had been developed. The results indicate that the suggested technique is reliable
and more effective in capturing more SQL injection types compared to other SQL injection detection
methods.
CHAPTER 15Security Quality Assurance TestingIn this chapter yoJinElias52
CHAPTER 15
Security Quality Assurance Testing
In this chapter you will
• Explore the aspects of testing software for security
• Learn about standards for software quality assurance
• Discover the basic approaches to functional testing
• Examine types of security testing
• Explore the use of the bug bar and defect tracking in an effort to improve the SDL process
Testing is a critical part of any development process and testing in a secure development lifecycle (SDL) environment is an essential part of the security process. Designing in security is one step, coding is another, and testing provides the assurance that what was desired and planned becomes reality. Validation and verification have been essential parts of quality efforts for decades, and software is no exception. This chapter looks at how and what to test to obtain an understanding of the security posture of software.
Standards for Software Quality Assurance
Quality is defined as fitness for use according to certain requirements. This can be different from security, yet there is tremendous overlap in the practical implementation and methodologies employed. In this regard, lessons can be learned from international quality assurance standards, for although they may be more expansive in goals than just security, they can make sense there as well.
ISO 9216
The International Standard ISO/IEC 9216 provides guidance for establishing quality in software products. With respect to testing, this standard focuses on a quality model built around functionality, reliability, and usability. Additional issues of efficiency, maintainability, and portability are included in the quality model of the standard. With respect to security and testing, it is important to remember the differences between quality and security. Quality is defined as fitness for use, or conformance to requirements. Security is less cleanly defined, but can be defined by requirements. One issue addressed by the standard is the human side of quality, where requirements can shift over time, or be less clear than needed for proper addressing by the development team. These are common issues in all projects, and the standard works to ensure a common understanding of the goals and objectives of the projects as described by requirements. This information is equally applicable to security concerns and requirements.
SSE-CMM
The Systems Security Engineering Capability Maturity Model (SSE-CMM) is also known as ISO/IEC 21827, and is an international standard for the secure engineering of systems. The SSE-CMM addresses security engineering activities that span the entire trusted product or secure system lifecycle, including concept definition, requirements analysis, design, development, integration, installation, operations, maintenance, and decommissioning. The SSE-CMM is designed to be employed as a tool to evaluate security engineering practices and assist in the definition of improvements to them. The SSE-CMM is organized into p ...
Optimizing fault injection in FMI co-simulation through sensitivity partitioningmehmor
As society and industry relies extensively on Cyber-Physical Systems (CPS), any malfunctions can have unforeseen catastrophic failures. Fault Injection (FI) techniques perturb a model of a CPS with the intention of causing a failure and measuring the robustness of the CPS. Naturally, the success of a FI simulation depends on three factors:(i) the realism of the faults injected;(ii) how quickly the faults cause catastrophic failure; and (iii) the fidelity of the model used.
This paper proposes to improve the success rate of FI studies by addressing each one of these factors. An algorithm is presented that leverages traditional sensitivity analysis in hybrid systems to reduce an uncountable fault search space to a optimal finite set (factors and we use co-simulation as the model integration technique (factor iii). We evaluate our contribution on the power window system developed by MathWorks®.
Automating safety engineering with model based techniquesJuha-Pekka Tolvanen
Fault Trees and Failure Models and Effects Analyses are well known methods in safety and reliability engineering. Their use, however, requires a considerable amount of work, in particular when the system evolves and grows. We describe an approach that automates parts of safety design flow. First, existing architecture models can be translated to dependability and error models. Safety engineers can then adapt the models for various safety cases and finally run analysis calling a suitable tool. We demonstrate the approach within automotive domain: System is specified with domain-specific languages and the created models are translated to analysis tools. This approach provides several benefits. It helps to ensure that safety analysis is done for the intended/designed architecture. It also makes safety analysis faster as it is partly automated, reduces error-prone routine work and makes safety analysis easier to use and accessible.
APPLICATION SPECIFIC USAGE CONTROL IMPLEMENTATION VERIFICATIONIJNSA Journal
Usage control is a comprehensive access control model developed to cater the security needs of the wide range of applications. Formal specification of the core usage control models and their expressivity, decidability of safety properties are explored recently. They help us to understand the usability and safety of the model. However, security of the usage control in the practical applications depends on the safety of the model as well as its correct implementation in the application. This paper presents an approach to verify the correctness of the usage control implementation using a semi- formal property verification tool. We also provide an illustrative case study.
Practical Guidelines to Improve Defect Prediction Model – A Reviewinventionjournals
Defect prediction models are used to pinpoint risky software modules and understand past pitfalls that lead to defective modules. The predictions and insights that are derived from defect prediction models may not be accurate and reliable if researchers do not consider the impact of experimental components (e.g., datasets, metrics, and classifiers) of defect prediction modeling. Therefore, a lack of awareness and practical guidelines from previous research can lead to invalid predictions and unreliable insights. Through case studies of systems that span both proprietary and open-source domains, find that (1) noise in defect datasets; (2) parameter settings of classification techniques; and (3) model validation techniques have a large impact on the predictions and insights of defect prediction models, suggesting that researchers should carefully select experimental components in order to produce more accurate and reliable defect prediction models.
Formal method techniques provides a suitable platform for the software development in software systems.
Formal methods and formal verification is necessary to prove the correctness and improve performance of
software systems in various levels of design and implementation, too. Security Discussion is an important
issue in computer systems. Since the antivirus applications have very important role in computer systems
security, verifying these applications is very essential and necessary. In this paper, we present four new
approaches for antivirus system behavior and a behavioral model of protection services in the antivirus
system is proposed. We divided the behavioral model in to preventive behavior and control behavior and
then we formal these behaviors. Finally by using some definitions we explain the way these behaviors are
mapped on each other by using our new approaches.
A hybrid technique for sql injection attacks detection and preventionijdms
SQL injection is a type of attacks used to gain, manipulate, or delete information in any data-driven system
whether this system is online or offline and whether this system is a web or non-web-based. It is
distinguished by the multiplicity of its performing methods, so defense techniques could not detect or
prevent such attacks. The main objective of this paper is to create a reliable and accurate hybrid technique
that secure systems from being exploited by SQL injection attacks. This hybrid technique combines static
and runtime SQL queries analysis to create a defense strategy that can detect and prevent various types of
SQL injection attacks. To evaluate this suggested technique, a large set of SQL queries have been executed
through a simulation that had been developed. The results indicate that the suggested technique is reliable
and more effective in capturing more SQL injection types compared to other SQL injection detection
methods.
CHAPTER 15Security Quality Assurance TestingIn this chapter yoJinElias52
CHAPTER 15
Security Quality Assurance Testing
In this chapter you will
• Explore the aspects of testing software for security
• Learn about standards for software quality assurance
• Discover the basic approaches to functional testing
• Examine types of security testing
• Explore the use of the bug bar and defect tracking in an effort to improve the SDL process
Testing is a critical part of any development process and testing in a secure development lifecycle (SDL) environment is an essential part of the security process. Designing in security is one step, coding is another, and testing provides the assurance that what was desired and planned becomes reality. Validation and verification have been essential parts of quality efforts for decades, and software is no exception. This chapter looks at how and what to test to obtain an understanding of the security posture of software.
Standards for Software Quality Assurance
Quality is defined as fitness for use according to certain requirements. This can be different from security, yet there is tremendous overlap in the practical implementation and methodologies employed. In this regard, lessons can be learned from international quality assurance standards, for although they may be more expansive in goals than just security, they can make sense there as well.
ISO 9216
The International Standard ISO/IEC 9216 provides guidance for establishing quality in software products. With respect to testing, this standard focuses on a quality model built around functionality, reliability, and usability. Additional issues of efficiency, maintainability, and portability are included in the quality model of the standard. With respect to security and testing, it is important to remember the differences between quality and security. Quality is defined as fitness for use, or conformance to requirements. Security is less cleanly defined, but can be defined by requirements. One issue addressed by the standard is the human side of quality, where requirements can shift over time, or be less clear than needed for proper addressing by the development team. These are common issues in all projects, and the standard works to ensure a common understanding of the goals and objectives of the projects as described by requirements. This information is equally applicable to security concerns and requirements.
SSE-CMM
The Systems Security Engineering Capability Maturity Model (SSE-CMM) is also known as ISO/IEC 21827, and is an international standard for the secure engineering of systems. The SSE-CMM addresses security engineering activities that span the entire trusted product or secure system lifecycle, including concept definition, requirements analysis, design, development, integration, installation, operations, maintenance, and decommissioning. The SSE-CMM is designed to be employed as a tool to evaluate security engineering practices and assist in the definition of improvements to them. The SSE-CMM is organized into p ...
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
There are many challenges that web application security scanners face that are widely known within the industry however may not be so obvious to someone evaluating a product.
Security has always been a great concern for all software systems due to the increased incursion of the wireless devices in recent years. Generally software engineering processes tries to compel the security measures during the various design phases which results into an inefficient measure. So this calls for a new process of software engineering in which we would try to give a proper framework for integrating the security requirements with the SDLC, and in this requirement engineers must discover all the security requirements related to a particular system, so security requirement could be analyzed and simultaneously prioritized in one go. In this paper we will present a new technique for prioritizing these requirement based on the risk measurement techniques. The true security requirements should be easily identified as early as possible so that these could be systematically analyzed and then every architecture team can choose the most appropriate mechanism to implement them.
A Novel Approach to Derive the Average-Case Behavior of Distributed Embedded ...ijccmsjournal
Monte-Carlo simulation is widely used in distributed embedded system in our present era. In this
research work, we have put an emphasis on reliability assessment of any distributed embedded system
through Monte-Carlo simulation. We have done this assessment on random data which represents input
voltages ranging from 0 volt to 12 volt; several numbers of trials have been executed on those data to
check the average case behavior of a distributed real time embedded system. From the experimental result, a saturation point has been achieved against the time behavior which shows the average case behavior of the concerned distributed embedded system.
Link to Youtube video: https://youtu.be/OJMqMWnxlT8
You can contact me at abhimanyu.bhogwan@gmail.com
My linkdin id : https://www.linkedin.com/in/abhimanyu-bhogwan-cissp-ctprp-98978437/
Threat Modeling(system+ enterprise)
What is Threat Modeling?
Why do we need Threat Modeling?
6 Most Common Threat Modeling Misconceptions
Threat Modelling Overview
6 important components of a DevSecOps approach
DevSecOps Security Best Practices
Threat Modeling Approaches
Threat Modeling Methodologies for IT Purposes
STRIDE
Threat Modelling Detailed Flow
System Characterization
Create an Architecture Overview
Decomposing your Application
Decomposing DFD’s and Threat-Element Relationship
Identify possible attack scenarios mapped to S.T.R.I.D.E. model
Identifying Security Controls
Identify possible threats
Report to Developers and Security team
DREAD Scoring
My Opinion on implementing Threat Modeling at enterprise level
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
Model based vulnerability testing abstract
1. Abstract:
In this work we present a model-based framework for security vulnerabilities testing. Security
vulnerabilities are not only related to security functionalities at the application level but are sensitive
to implementation details. Thus traditional model-based approaches which elide implementation
details are by themselves inadequate for testing security vulnerabilities. We propose a framework
that retains the advantages of model based testing that exposes only the necessary details relevant
for vulnerability testing. We define a three-model framework: a model or specification of the key
aspects of the application, a model of the implementation and a model of the attacker, for
automatic test case generation. This separation allows the test case generation process to test
contexts missed by other model-based approaches. We also describe the key aspects of our tool that
generates the tests.
