Responsible Internet Measures
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With decades of experience in the private and public sectors, Scott Cleland is a proven thought leader in Internet-related policy and use. Through advocating for a responsible Internet, an overhaul to the current Internet adding safety and transparency measures, Scott Cleland works for greater data protection without sacrificing utility.
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I want you to Read intensively papers and give me a summary for ever.pdf
I want you to Read intensively papers and give me a summary for every paper and the linghth for
each paper is 2 pages or more. In the summary, you need to provide some of your own ideas.
Research Interests: Privacy-Aware Computing,Wireless and Mobile Security,Fog
Computing,Mobile Health and Safety, Cognitive Radio Networking,Algorithm Design and
Analysis.
You should select papers from the following conferences:
IEEE INFOCOM, IEEE Symposium on security and privacy, ACM CCS, USENIX Security.
Solution
PRIVACY AWARE COMPUTING
Introduction
With the increasing public concerns of security and personal data privacy worldwide, security
and privacy become an important research area. This research area is very broad and covers
many application domains.
The security and privacy aware computing research group actually focuses on
(1) privacy-preserved computing,
(2) Video surveillance, and
(3) secure biometric system.
Now let us briefly discuss the above three groups.
Privacy-preserved Computing
Concerns on the data privacy have been increasing worldwide. For example, Apple was
reportedly fined by South Korea’s telecommunications regulator for allegedly collecting and
storing private location data of iPhone users. The privacy concerns raised by both end-users and
government authorities have been hindering the deployment of many valuable IT services, such
as data mining and analysis, data outsourcing, and mobile location-aware computing.
soo, in response to the growing necessity of protecting data privacy, our research group has been
focusing on developing innovative solutions towards information services --- to support these
services while preserving users’ personal privacy.
Video Surveillance
With the growing installation of surveillance video cameras in both private and public areas, the
closed-circuit TV (CCTV) has been evolved from a single camera system to a multiple camera
system; and has recently been extended to a large-scale network of cameras.
One of the objectives of a camera network is to monitor and understand security issues in the
area under surveillance. While the camera network hardware is generally well-designed and
roundly installed, the development of intelligent video analysis software lags far behind. As
such, our group has been focusing on developing video surveillance algorithms such as face
tracking, person re-identification, human action recognition.
Our goal is to develop an intelligent video surveillance system.
Secure Biometric System
With the growing use of biometrics, there is a rising concern about the security and privacy of
the biometric data. Recent studies show that simple attacks on a biometric system, such as hill
climbing, are able to recover the raw biometric data from stolen biometric template. Moreover,
the attacker may be able to make use of the stolen face template to access the system or cross-
match across databases. Our group has been working on face template protection, multimodality
template protection, and .
Secure your Space: The Internet of Things
Michael Daly, the CTO of Raytheon Cyber talks about securing the Internet of Things. Daly spoke at The Security of Things Forum on Sept. 10, 2015.
Accessing secured data in cloud computing environment
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection
ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENT
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection.
A data quarantine model to secure data in edge computing
Edge computing provides an agile data processing platform for latencysensitive and communication-intensive applications through a decentralized cloud and geographically distributed edge nodes. Gaining centralized control over the edge nodes can be challenging due to security issues and threats. Among several security issues, data integrity attacks can lead to inconsistent data and intrude edge data analytics. Further intensification of the attack makes it challenging to mitigate and identify the root cause. Therefore, this paper proposes a new concept of data quarantine model to mitigate data integrity attacks by quarantining intruders. The efficient security solutions in cloud, ad-hoc networks, and computer systems using quarantine have motivated adopting it in edge computing. The data acquisition edge nodes identify the intruders and quarantine all the suspected devices through dimensionality reduction. During quarantine, the proposed concept builds the reputation scores to determine the falsely identified legitimate devices and sanitize their affected data to regain data integrity. As a preliminary investigation, this work identifies an appropriate machine learning method, linear discriminant analysis (LDA), for dimensionality reduction. The LDA results in 72.83% quarantine accuracy and 0.9 seconds training time, which is efficient than other state-of-the-art methods. In future, this would be implemented and validated with ground truth data.
10 security problems unique to it
Security is not an area newly arisen in the wake of the 9/11 tragedy. There have always been reasons to be concerned:
conflicting priorities, business environmental factors, information sensitivity, lack of controls on the Internet, ethical lapses,
criminal activity, carelessness, and higher levels of connectivity and vulnerability. It’s a tradeoff between limiting danger
versus affecting productivity: 100 percent security equals 0 percent productivity, but 0 percent security doesn’t equal 100
percent productivity.
10 security problems unique to it
If you're serious about becoming a successful, well-rounded IT professional, you need to
constantly broaden your skills and knowledge--and in some areas that might surprise you. This list details
key competencies that will help advance your career.
Recommended
I want you to Read intensively papers and give me a summary for ever.pdf
I want you to Read intensively papers and give me a summary for every paper and the linghth for
each paper is 2 pages or more. In the summary, you need to provide some of your own ideas.
Research Interests: Privacy-Aware Computing,Wireless and Mobile Security,Fog
Computing,Mobile Health and Safety, Cognitive Radio Networking,Algorithm Design and
Analysis.
You should select papers from the following conferences:
IEEE INFOCOM, IEEE Symposium on security and privacy, ACM CCS, USENIX Security.
Solution
PRIVACY AWARE COMPUTING
Introduction
With the increasing public concerns of security and personal data privacy worldwide, security
and privacy become an important research area. This research area is very broad and covers
many application domains.
The security and privacy aware computing research group actually focuses on
(1) privacy-preserved computing,
(2) Video surveillance, and
(3) secure biometric system.
Now let us briefly discuss the above three groups.
Privacy-preserved Computing
Concerns on the data privacy have been increasing worldwide. For example, Apple was
reportedly fined by South Korea’s telecommunications regulator for allegedly collecting and
storing private location data of iPhone users. The privacy concerns raised by both end-users and
government authorities have been hindering the deployment of many valuable IT services, such
as data mining and analysis, data outsourcing, and mobile location-aware computing.
soo, in response to the growing necessity of protecting data privacy, our research group has been
focusing on developing innovative solutions towards information services --- to support these
services while preserving users’ personal privacy.
Video Surveillance
With the growing installation of surveillance video cameras in both private and public areas, the
closed-circuit TV (CCTV) has been evolved from a single camera system to a multiple camera
system; and has recently been extended to a large-scale network of cameras.
One of the objectives of a camera network is to monitor and understand security issues in the
area under surveillance. While the camera network hardware is generally well-designed and
roundly installed, the development of intelligent video analysis software lags far behind. As
such, our group has been focusing on developing video surveillance algorithms such as face
tracking, person re-identification, human action recognition.
Our goal is to develop an intelligent video surveillance system.
Secure Biometric System
With the growing use of biometrics, there is a rising concern about the security and privacy of
the biometric data. Recent studies show that simple attacks on a biometric system, such as hill
climbing, are able to recover the raw biometric data from stolen biometric template. Moreover,
the attacker may be able to make use of the stolen face template to access the system or cross-
match across databases. Our group has been working on face template protection, multimodality
template protection, and .
Secure your Space: The Internet of Things
Michael Daly, the CTO of Raytheon Cyber talks about securing the Internet of Things. Daly spoke at The Security of Things Forum on Sept. 10, 2015.
Accessing secured data in cloud computing environment
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection
ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENT
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection.
A data quarantine model to secure data in edge computing
Edge computing provides an agile data processing platform for latencysensitive and communication-intensive applications through a decentralized cloud and geographically distributed edge nodes. Gaining centralized control over the edge nodes can be challenging due to security issues and threats. Among several security issues, data integrity attacks can lead to inconsistent data and intrude edge data analytics. Further intensification of the attack makes it challenging to mitigate and identify the root cause. Therefore, this paper proposes a new concept of data quarantine model to mitigate data integrity attacks by quarantining intruders. The efficient security solutions in cloud, ad-hoc networks, and computer systems using quarantine have motivated adopting it in edge computing. The data acquisition edge nodes identify the intruders and quarantine all the suspected devices through dimensionality reduction. During quarantine, the proposed concept builds the reputation scores to determine the falsely identified legitimate devices and sanitize their affected data to regain data integrity. As a preliminary investigation, this work identifies an appropriate machine learning method, linear discriminant analysis (LDA), for dimensionality reduction. The LDA results in 72.83% quarantine accuracy and 0.9 seconds training time, which is efficient than other state-of-the-art methods. In future, this would be implemented and validated with ground truth data.
10 security problems unique to it
Security is not an area newly arisen in the wake of the 9/11 tragedy. There have always been reasons to be concerned:
conflicting priorities, business environmental factors, information sensitivity, lack of controls on the Internet, ethical lapses,
criminal activity, carelessness, and higher levels of connectivity and vulnerability. It’s a tradeoff between limiting danger
versus affecting productivity: 100 percent security equals 0 percent productivity, but 0 percent security doesn’t equal 100
percent productivity.
10 security problems unique to it
If you're serious about becoming a successful, well-rounded IT professional, you need to
constantly broaden your skills and knowledge--and in some areas that might surprise you. This list details
key competencies that will help advance your career.
Global Security Certification for Governments
Government endeavors to expand and make available the range of services to the largest possible numbers of users. At the same time, the public sector also works hard to improve its own internal operations and use the best possible talent it can get. Increasingly, there is also a need to improve the collaboration between different sectors of the government while ensuring that data privacy and security are not affected
IRJET- An Approach Towards Data Security in Organizations by Avoiding Data Br...
https://www.irjet.net/archives/V5/i10/IRJET-V5I10108.pdf
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...Konstantinos Demertzis
The evolution of the Internet of Things is significantly a
ected by legal restrictions imposed for personal data handling, such as the European General Data Protection Regulation (GDPR).
The main purpose of this regulation is to provide people in the digital age greater control over their personal data, with their freely given, specific, informed and unambiguous consent to collect and process the data concerning them. ADVOCATE is an advanced framework that fully complies with the requirements of GDPR, which, with the extensive use of blockchain and artificial intelligence technologies, aims to provide an environment that will support users in maintaining control of their personal data in the IoT ecosystem. This paper proposes and presents the Intelligent Policies Analysis Mechanism (IPAM) of the ADVOCATE framework, which, in an intelligent and fully automated manner, can identify conflicting rules or consents of the user, which may lead to the collection of personal data that can be used for profiling. In order to clearly identify and implement IPAM, the problem of recording user data from smart entertainment devices using Fuzzy Cognitive Maps (FCMs) was simulated. FCMs are an intelligent decision-making system that simulates the processes of a complex system, modeling the correlation base, knowing the behavioral and balance specialists of the system. Respectively, identifying conflicting rules that can lead to a profile, training is done using Extreme Learning Machines (ELMs), which are highly ecient neural systems of small and flexible architecture that can work optimally in complex environments.Where in the world is your Corporate data?
Your employees – and your company data – are on the go every day. As a result, your employees are relying on the use of 3rd party online services without IT approval – that is Shadow IT in your own organization. That’s some risky business. Where in the world is your Corporate Data?
With TeraGo Cloud Drive we are giving you back control of your most valuable asset, your data.
In this webinar you will learn about:
How Shadow IT is picking up velocity due to the accessibility and ease of cloud applications
Consequences of weak corporate security mechanisms
How to give your IT department control of your data and its’ security
Report on Network Security And Privacy
this report is about how network security and privacy security works on Wireless and Wired system.It is also contain encryption method for network security and privacy.
President Donald Trump - Cybersecurity - National Institute of Standards and ...
President Donald Trump - Cybersecurity - National Institute of Standards and ...Clifton M. Hasegawa & Associates, LLC
NIST's work underpins most of today's top science and technology challenges, such as cyber-security, biometrics, voting equipment standards, and nanotechnology, just to name an important few.
~ Sherwood Louis "Sherry" Boehler. Former Member of the U.S. House of Representatives from New York and Chairman of the House Science and Technology Committee
IRJET- A Survey on Privacy Preserving Communication Protocol for IoT Applicat...
https://www.irjet.net/archives/V6/i2/IRJET-V6I2328.pdf
Research Report on Preserving Data Confidentiality & Data Integrity in ...
ABSTRACT : Currently, cloud-based application is so very famous, but preserving the confidentiality of the user’s data is a huge task to accomplish. Keeping this need in mind, here a solution is proposed which will preserve the data confidentiality & integrity in cloud environment. For providing data confidentiality we will use AES algorithms, by virtue of which the secret data will be converted to cipher text and it becomes very difficult for the user to get the meaningful plain text. Here the basic emphasis is also on the data integrity so that the user’s data can’t be duplicated or copied.Keywords:Data Confidentiality, Data Integrity, AES algorithm
Internet of Things With Privacy in Mind
Short presentation on privacy and data protection issues related to rapid development of Internet of Things, prepared for Privacy Lab hosted by Mozilla London
Security and Privacy of Big Data in Mobile Devices
Presently, the volume of data generated via mobile devices is at an exponential rate due to the rapid advancement in internet-enabled mobile devices, which makes it complex to ensure the privacy and security of this data. Cloud-based server is currently considered one of the most reliable solutions to address these issues. Nevertheless, the increasing uncertainties of storing useful and sensitive big data in a public cloud have suppressed the exploration of this option. In our paper, we meticulously reviewed the drawbacks in the current adopted solutions for security and privacy of big data within mobile devices. As the utilization of mobile platforms is increasingly generating large data, the current traditional methods of cryptography will not be able to efficiently ensure the security and privacy of this big data. Therefore, this paper will propose the utilization of Federated Identity Management that is Openstack cloud-based as an effective solution that can ensure the privacy and security of big data within mobile device ecosystem.
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
The introduction of Internet of Things (IoT) applications into daily life has raised serious privacy concerns
among consumers, network service providers, device manufacturers, and other parties involved. This paper
gives a high-level overview of the three phases of data collecting, transmission, and storage in IoT systems
as well as current privacy-preserving technologies. The following elements were investigated during these
three phases:(1) Physical and data connection layer security mechanisms(2) Network remedies(3)
Techniques for distributing and storing data. Real-world systems frequently have multiple phases and
incorporate a variety of methods to guarantee privacy. Therefore, for IoT research, design, development,
and operation, having a thorough understanding of all phases and their technologies can be beneficial. In
this Study introduced two independent methodologies namely generic differential privacy (GenDP) and
Cluster-Based Differential privacy ( Cluster-based DP) algorithms for handling metadata as intents and
intent scope to maintain privacy and security of IoT data in cloud environments. With its help, we can
virtual and connect enormous numbers of devices, get a clearer understanding of the IoT architecture, and
store data eternally. However, due of the dynamic nature of the environment, the diversity of devices, the
ad hoc requirements of multiple stakeholders, and hardware or network failures, it is a very challenging
task to create security-, privacy-, safety-, and quality-aware Internet of Things apps. It is becoming more
and more important to improve data privacy and security through appropriate data acquisition. The
proposed approach resulted in reduced loss performance as compared to Support Vector Machine (SVM) ,
Random Forest (RF) .
Wp security-data-safe
The objective of this workshop is to show existing Oracle Database (Enterprise
Edition, Exadata, Autonomous Database, EXACS, DBCS) customers how to
attach your Database to Data safe and gain valuable understanding of
potential risks. Using user Assessment, understand rights and entitlement of
users and review activity auditing which provides powerful insight to database
interaction. The workshop will finish with a full sensitive data discovery and
then how to anonymize date with sensitive data masking.
The workshop is delivered in an interactive way with Presentations and Hands on
Labs to ensure complete understanding.
Wireless Security on Context (disponible en español)
For more discussions and topics around SP Mobility, please visit our Mobility Community: http://cisco.com/go/mobilitycommunity
journal paper
https://jst.org.in/index.html
Our Journals has a act as vehicles for the dissemination of knowledge, making research findings accessible to a wide audience. This accessibility is vital for the progress of education, as it allows students, educators, and professionals to stay informed about the latest developments in their respective fields.
Data security and privacy
In this work we highlighted some of the concepts of data privacy, techniques used in data privacy, and some techniques used in data privacy in the cloud plus some new research trends.
Keep Student information protected while improving services
Increasingly, we are seeing instances of cloud use in universities and institutions of higher learning moving their applications to the cloud. Although the rate of movement is somewhat lower than the broader market, the trend is clearly visible. Universities are moving to the cloud for a large number of applications, including student engagement, learning, research, inter-university collaboration and routine management of university operations.
Network security ppt
network security is a complicated subject,historically only tackled by well-trained and expericenced experts
stop-section-230s-uncivil-war-destroying-democracy-in-america-rui-research-10...
Wild West U.S. Internet policy and law incites Uncivil War, social media oligarchy, and minority rule.
This first-of-its-kind analysis spotlights how Section 230’s self-defeating and counterproductive, U.S.
Internet unaccountability policy/law has incited a protracted, U.S. Uncivil War of lawless social
media oligarchy predations vs. lawful government protections.
In protecting technology from people by prohibiting protections of people from technology, Section
230 instigates an Uncivil War of unfettered technology interests vs. unprotected people interests.
This government imposed, above the law, inequality on autopilot, is destroying individual liberty,
equality, and rights, and America’s democracy, justice, and national security. In addition, it causes
countless casualties; and makes U.S. Wild West Internet policy/law America’s worst enemy.
Common Examples of Online Crimes.pptx
A proven thought leader based in Reston, Virginia, Scott Cleland is the founder and executive director of the Restore Us Institute. In this position, Scott Cleland works to protect the American people from a variety of online harm and Internet crimes.
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Similar to Responsible Internet Measures
Global Security Certification for Governments
Government endeavors to expand and make available the range of services to the largest possible numbers of users. At the same time, the public sector also works hard to improve its own internal operations and use the best possible talent it can get. Increasingly, there is also a need to improve the collaboration between different sectors of the government while ensuring that data privacy and security are not affected
IRJET- An Approach Towards Data Security in Organizations by Avoiding Data Br...
https://www.irjet.net/archives/V5/i10/IRJET-V5I10108.pdf
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...Konstantinos Demertzis
The evolution of the Internet of Things is significantly a
ected by legal restrictions imposed for personal data handling, such as the European General Data Protection Regulation (GDPR).
The main purpose of this regulation is to provide people in the digital age greater control over their personal data, with their freely given, specific, informed and unambiguous consent to collect and process the data concerning them. ADVOCATE is an advanced framework that fully complies with the requirements of GDPR, which, with the extensive use of blockchain and artificial intelligence technologies, aims to provide an environment that will support users in maintaining control of their personal data in the IoT ecosystem. This paper proposes and presents the Intelligent Policies Analysis Mechanism (IPAM) of the ADVOCATE framework, which, in an intelligent and fully automated manner, can identify conflicting rules or consents of the user, which may lead to the collection of personal data that can be used for profiling. In order to clearly identify and implement IPAM, the problem of recording user data from smart entertainment devices using Fuzzy Cognitive Maps (FCMs) was simulated. FCMs are an intelligent decision-making system that simulates the processes of a complex system, modeling the correlation base, knowing the behavioral and balance specialists of the system. Respectively, identifying conflicting rules that can lead to a profile, training is done using Extreme Learning Machines (ELMs), which are highly ecient neural systems of small and flexible architecture that can work optimally in complex environments.Where in the world is your Corporate data?
Your employees – and your company data – are on the go every day. As a result, your employees are relying on the use of 3rd party online services without IT approval – that is Shadow IT in your own organization. That’s some risky business. Where in the world is your Corporate Data?
With TeraGo Cloud Drive we are giving you back control of your most valuable asset, your data.
In this webinar you will learn about:
How Shadow IT is picking up velocity due to the accessibility and ease of cloud applications
Consequences of weak corporate security mechanisms
How to give your IT department control of your data and its’ security
Report on Network Security And Privacy
this report is about how network security and privacy security works on Wireless and Wired system.It is also contain encryption method for network security and privacy.
President Donald Trump - Cybersecurity - National Institute of Standards and ...
President Donald Trump - Cybersecurity - National Institute of Standards and ...Clifton M. Hasegawa & Associates, LLC
NIST's work underpins most of today's top science and technology challenges, such as cyber-security, biometrics, voting equipment standards, and nanotechnology, just to name an important few.
~ Sherwood Louis "Sherry" Boehler. Former Member of the U.S. House of Representatives from New York and Chairman of the House Science and Technology Committee
IRJET- A Survey on Privacy Preserving Communication Protocol for IoT Applicat...
https://www.irjet.net/archives/V6/i2/IRJET-V6I2328.pdf
Research Report on Preserving Data Confidentiality & Data Integrity in ...
ABSTRACT : Currently, cloud-based application is so very famous, but preserving the confidentiality of the user’s data is a huge task to accomplish. Keeping this need in mind, here a solution is proposed which will preserve the data confidentiality & integrity in cloud environment. For providing data confidentiality we will use AES algorithms, by virtue of which the secret data will be converted to cipher text and it becomes very difficult for the user to get the meaningful plain text. Here the basic emphasis is also on the data integrity so that the user’s data can’t be duplicated or copied.Keywords:Data Confidentiality, Data Integrity, AES algorithm
Internet of Things With Privacy in Mind
Short presentation on privacy and data protection issues related to rapid development of Internet of Things, prepared for Privacy Lab hosted by Mozilla London
Security and Privacy of Big Data in Mobile Devices
Presently, the volume of data generated via mobile devices is at an exponential rate due to the rapid advancement in internet-enabled mobile devices, which makes it complex to ensure the privacy and security of this data. Cloud-based server is currently considered one of the most reliable solutions to address these issues. Nevertheless, the increasing uncertainties of storing useful and sensitive big data in a public cloud have suppressed the exploration of this option. In our paper, we meticulously reviewed the drawbacks in the current adopted solutions for security and privacy of big data within mobile devices. As the utilization of mobile platforms is increasingly generating large data, the current traditional methods of cryptography will not be able to efficiently ensure the security and privacy of this big data. Therefore, this paper will propose the utilization of Federated Identity Management that is Openstack cloud-based as an effective solution that can ensure the privacy and security of big data within mobile device ecosystem.
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
The introduction of Internet of Things (IoT) applications into daily life has raised serious privacy concerns
among consumers, network service providers, device manufacturers, and other parties involved. This paper
gives a high-level overview of the three phases of data collecting, transmission, and storage in IoT systems
as well as current privacy-preserving technologies. The following elements were investigated during these
three phases:(1) Physical and data connection layer security mechanisms(2) Network remedies(3)
Techniques for distributing and storing data. Real-world systems frequently have multiple phases and
incorporate a variety of methods to guarantee privacy. Therefore, for IoT research, design, development,
and operation, having a thorough understanding of all phases and their technologies can be beneficial. In
this Study introduced two independent methodologies namely generic differential privacy (GenDP) and
Cluster-Based Differential privacy ( Cluster-based DP) algorithms for handling metadata as intents and
intent scope to maintain privacy and security of IoT data in cloud environments. With its help, we can
virtual and connect enormous numbers of devices, get a clearer understanding of the IoT architecture, and
store data eternally. However, due of the dynamic nature of the environment, the diversity of devices, the
ad hoc requirements of multiple stakeholders, and hardware or network failures, it is a very challenging
task to create security-, privacy-, safety-, and quality-aware Internet of Things apps. It is becoming more
and more important to improve data privacy and security through appropriate data acquisition. The
proposed approach resulted in reduced loss performance as compared to Support Vector Machine (SVM) ,
Random Forest (RF) .
Wp security-data-safe
The objective of this workshop is to show existing Oracle Database (Enterprise
Edition, Exadata, Autonomous Database, EXACS, DBCS) customers how to
attach your Database to Data safe and gain valuable understanding of
potential risks. Using user Assessment, understand rights and entitlement of
users and review activity auditing which provides powerful insight to database
interaction. The workshop will finish with a full sensitive data discovery and
then how to anonymize date with sensitive data masking.
The workshop is delivered in an interactive way with Presentations and Hands on
Labs to ensure complete understanding.
Wireless Security on Context (disponible en español)
For more discussions and topics around SP Mobility, please visit our Mobility Community: http://cisco.com/go/mobilitycommunity
journal paper
https://jst.org.in/index.html
Our Journals has a act as vehicles for the dissemination of knowledge, making research findings accessible to a wide audience. This accessibility is vital for the progress of education, as it allows students, educators, and professionals to stay informed about the latest developments in their respective fields.
Data security and privacy
In this work we highlighted some of the concepts of data privacy, techniques used in data privacy, and some techniques used in data privacy in the cloud plus some new research trends.
Keep Student information protected while improving services
Increasingly, we are seeing instances of cloud use in universities and institutions of higher learning moving their applications to the cloud. Although the rate of movement is somewhat lower than the broader market, the trend is clearly visible. Universities are moving to the cloud for a large number of applications, including student engagement, learning, research, inter-university collaboration and routine management of university operations.
Network security ppt
network security is a complicated subject,historically only tackled by well-trained and expericenced experts
Similar to Responsible Internet Measures (20)
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IRJET- An Approach Towards Data Security in Organizations by Avoiding Data Br...
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A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...
President Donald Trump - Cybersecurity - National Institute of Standards and ...
President Donald Trump - Cybersecurity - National Institute of Standards and ...
IRJET- A Survey on Privacy Preserving Communication Protocol for IoT Applicat...
IRJET- A Survey on Privacy Preserving Communication Protocol for IoT Applicat...
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Research Report on Preserving Data Confidentiality & Data Integrity in ...
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Security and Privacy of Big Data in Mobile Devices
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SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
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Wireless Security on Context (disponible en español)
Keep Student information protected while improving services
Keep Student information protected while improving services
More from Scott Cleland
stop-section-230s-uncivil-war-destroying-democracy-in-america-rui-research-10...
Wild West U.S. Internet policy and law incites Uncivil War, social media oligarchy, and minority rule.
This first-of-its-kind analysis spotlights how Section 230’s self-defeating and counterproductive, U.S.
Internet unaccountability policy/law has incited a protracted, U.S. Uncivil War of lawless social
media oligarchy predations vs. lawful government protections.
In protecting technology from people by prohibiting protections of people from technology, Section
230 instigates an Uncivil War of unfettered technology interests vs. unprotected people interests.
This government imposed, above the law, inequality on autopilot, is destroying individual liberty,
equality, and rights, and America’s democracy, justice, and national security. In addition, it causes
countless casualties; and makes U.S. Wild West Internet policy/law America’s worst enemy.
Common Examples of Online Crimes.pptx
A proven thought leader based in Reston, Virginia, Scott Cleland is the founder and executive director of the Restore Us Institute. In this position, Scott Cleland works to protect the American people from a variety of online harm and Internet crimes.
A Proven Thought Leadership Model
Being called to testify before Congress a total of sixteen times on a variety of forward-thinking public policy issues relating to the internet is just one example of Scott Cleland’s thought leadership.
What Is The Internet Reset?
Proven thought leader Scott Cleland is recognized around the world as an expert in Internet policy and competition. In 2009, Scott Cleland pioneered the phrase “The Internet Reset,” and later founded Precursor Research, LLC, an independent investment research boutique that specializes in Internet Reset research.
The Internet Reset Defines New Realities for Institutional Investors
The Internet Reset Defines New Realities for Institutional Investors
A Convincing Antitrust Suit against Alphabet-Google Emerges
A Convincing Antitrust Suit against Alphabet-Google Emerges
Internetization and Framework Analysis
Scott Cleland is a leading expert on internetization, the internet's transformational process, and the ways in which this phenomenon affects investments, markets, competition, and the economy.
How Google Stunts Innovation and Harms Consumers
As one of the first to testify that Google was transforming into a monopoly, Scott Cleland continues to question the effect that Google’s actions have on the market, especially the repercussions for budding technological innovators and, ultimately, the consumer. Serving as President of Precursor LLC, an industry and policy consulting firm, he publishes a significant amount of research on Google and antitrust law at Googleopoly.net. Scott Cleland also publishes Googlemonitor.org, which maintains surveillance on Google’s activities.
Precursor Blog Explains Netflix Response to Regulatory Arbitrage
A thought leader in industry behavior and public policy, Scott Cleland wrote the book Search & Destroy: Why You Can't Trust Google Inc. in 2011, and currently serves as president of the research consultancy Precursor LLC. Scott Cleland’s work with Precursor includes the maintenance of a blog that covers subjects like communications regulations and corporate welfare.
Article Explores Google’s Reaction to Subpoena for Internal Documents
Scott Cleland has leveraged his expertise in cyber-ideology, regulation, and privacy to provide expert testimony to Congressional subcommittees and contribute to major publications. Currently serving as the president of research consultancy Precursor LLC, Scott Cleland is also the author of the book Search & Destroy: Why You Can't Trust Google Inc. in 2011, and he continues to publish material on the topic.
More from Scott Cleland (14)
stop-section-230s-uncivil-war-destroying-democracy-in-america-rui-research-10...
stop-section-230s-uncivil-war-destroying-democracy-in-america-rui-research-10...
The Internet Reset Defines New Realities for Institutional Investors
The Internet Reset Defines New Realities for Institutional Investors
A Convincing Antitrust Suit against Alphabet-Google Emerges
A Convincing Antitrust Suit against Alphabet-Google Emerges
Precursor Blog Explains Netflix Response to Regulatory Arbitrage
Precursor Blog Explains Netflix Response to Regulatory Arbitrage
Article Explores Google’s Reaction to Subpoena for Internal Documents
Article Explores Google’s Reaction to Subpoena for Internal Documents
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UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
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• Q/A
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Pushing the limits of ePRTC: 100ns holdover for 100 days
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UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
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GraphRAG is All You need? LLM & Knowledge Graph
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1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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What you will learn during the webinar:
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National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
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Communications Mining Series - Zero to Hero - Session 1
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Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
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National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
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Generative AI Deep Dive: Advancing from Proof of Concept to Production
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Monitoring Java Application Security with JDK Tools and JFR Events
Responsible Internet Measures
- 1. Responsible Internet Measures With decades of experience in the private and public sectors, Scott Cleland is a proven thought leader in Internet-related policy and use. Through advocating for a responsible Internet, an overhaul to the current Internet adding safety and transparency measures, Scott Cleland works for greater data protection without sacrificing utility. The responsible Internet addresses the lack of transparency in data storage online, the power imbalance between data storers and users, and security risks inherent to data storage. A small handful of companies and countries control a majority of Internet users’ data, giving this group immense power over the Internet policies of countries who lack such capabilities. Further, these companies store data on proprietary networks and equipment, so only employees know how they operate. Because citizens’ data is stored in such black box networks, users cannot easily control the data they generate. Creating a responsible Internet involves more than just using more secure equipment. Though data storers may choose any network architecture or equipment they like, both must use open source hardware and software, so third parties can fully analyze their functionality and security. Measures like end-to-end encryption can protect against data theft and privacy violation by the data storers themselves.