This document discusses embedded security as a new phenomenon for securing systems and identifying hardware trojans. It provides an overview of embedded security requirements, implementations in different systems like optical burst switching and dual CPU systems, methods for identifying hardware trojans including gate-level characterization and power analysis, and techniques for isolating detected trojans. The goal is to explain embedded security and hardware trojan detection and prevention.
A Novel Key Generation Technique Used In Tablets and Smart PhonesIJERA Editor
Mobile devices like smart phones and tablets are whirling into an automobile for prolific and gainful loom to
way in, come across and contribute to information or data. However, lack of the well-organized and apposite
safekeeping procedures has cemented manner for the cyber-attackers to get this information and mishandling it
for their own intention. Data seepage ensuing from device trouncing or thievery is foremost sanctuary risk allied
with the smart phones and other mobile devices. One way to shield the data is to employ encryption/decryption
performance. Though there is many encryption/decryption technique vacant but the largest part of them are
predisposed to diverse attacks. Another problem is there is no apposite encryption/decryption process for end
point to end point asylum (between two or additional phones).We proposed novel key generation techniques to
be worn in encryption/decryption course of action. The same procedure can also be used for end point to end
point sheltered communication. These techniques have been veteran against diverse attacks on real android
devices and it has been bring into being that it withstands all types of attacks. The time of key descent for
various smart phones has been pragmatic and it shows that it doesn’t slow down the devices.
With the growth of computer networking, electronic commerce and web services, security networking systems have become very important to protect infomation and networks againts malicious usage or attacks. In this report, it is designed an Intrusion Detection System using two artificial neural networks: one for Intrusion Detection and the another for Attack Classification.
A Defense-in-depth Cybersecurity for Smart SubstationsIJECEIAES
The increase of cyber-attacks on industrial and power systems in the recent years make the cybersecurity of supervisory control and data acquisition and substation automation systemsa high important engineering issue. This paper proposes a defense in depth cybersecurity solution for smart substations in different layers of the substation automation system. In fact, it presents possible vulnerabilities in the substation automation system and propose a multiple layer solution based on best practice in cyber security such as the hardening ofdevices, whitelisting, network configuration, network segmentation, role-based account management and cyber security management and deployement.
A Novel Key Generation Technique Used In Tablets and Smart PhonesIJERA Editor
Mobile devices like smart phones and tablets are whirling into an automobile for prolific and gainful loom to
way in, come across and contribute to information or data. However, lack of the well-organized and apposite
safekeeping procedures has cemented manner for the cyber-attackers to get this information and mishandling it
for their own intention. Data seepage ensuing from device trouncing or thievery is foremost sanctuary risk allied
with the smart phones and other mobile devices. One way to shield the data is to employ encryption/decryption
performance. Though there is many encryption/decryption technique vacant but the largest part of them are
predisposed to diverse attacks. Another problem is there is no apposite encryption/decryption process for end
point to end point asylum (between two or additional phones).We proposed novel key generation techniques to
be worn in encryption/decryption course of action. The same procedure can also be used for end point to end
point sheltered communication. These techniques have been veteran against diverse attacks on real android
devices and it has been bring into being that it withstands all types of attacks. The time of key descent for
various smart phones has been pragmatic and it shows that it doesn’t slow down the devices.
With the growth of computer networking, electronic commerce and web services, security networking systems have become very important to protect infomation and networks againts malicious usage or attacks. In this report, it is designed an Intrusion Detection System using two artificial neural networks: one for Intrusion Detection and the another for Attack Classification.
A Defense-in-depth Cybersecurity for Smart SubstationsIJECEIAES
The increase of cyber-attacks on industrial and power systems in the recent years make the cybersecurity of supervisory control and data acquisition and substation automation systemsa high important engineering issue. This paper proposes a defense in depth cybersecurity solution for smart substations in different layers of the substation automation system. In fact, it presents possible vulnerabilities in the substation automation system and propose a multiple layer solution based on best practice in cyber security such as the hardening ofdevices, whitelisting, network configuration, network segmentation, role-based account management and cyber security management and deployement.
Deep Learning based Threat / Intrusion detection systemAffine Analytics
The article is about a Threat/Intrusion Detection System, which could be used to detect such data leaks/breaches & take a preventive action to contain, if not stop the damage due to breach.
Final Year Engineering Internship Report for Internship at Siemens Information Systems Ltd. Project : Network Intrusion Detection And Prevention Using Snort And Iptables
As sensor networks edge closer towards wide-spread placement, security issues become a central concern. So far, much research has concentrated on making sensor networks feasible and useful, and has not focused on security.
We present a set of security building blocks optimized for resource constrained environments and wireless communication. SPINS has two secure building blocks: SNEP and TESLA. SNEP provides the following important baseline security primitives: Data confidentiality, two-party data authentication, and data freshness. A particularly hard problem is to provide effective broadcast authentication, which is an important mechanism for sensor networks. TESLA is a new protocol which provides authenticated broadcast for severely resource-constrained surroundings. We realized the above protocols, and show that they are practical straighly on minimal hardware: the performance of the protocol suite easily matches the data rate of our network. Additionally, we prove that the suite can be used for building higher level protocols
Der Vortrag zeigt anhand von Beispielen für Angriffe auf eingebettete Systeme, wie sie in vernetzten Systemen heute schon praktiziert werden, wie wichtig Security hier ist.
Aus den Angriffen und einer Prognose über die Weiterentwicklung der System-funktionen werden Sicherheitsanforderungen für eingebettete Systeme der Zukunft abgeleitet. Daraus ergibt sich dann eine Sicherheitsarchitektur für die Systeme mit wichtigen Standardkomponenten als Vertrauensanker. Dazu zählen sogenannte Secure Elements, sichere Identitäten und separierende Betriebssysteme.
Hierzu werden aktuelle Forschungsarbeiten zum Einsatz von Secure Elements im Automobil, Smart Grid und mobilen Endgeräten vorgestellt. Es wird gezeigt, wie sichere Identitäten aus Materialeigenschaften mit Physical Unclonable Functions abgeleitet werden können und wie Betriebssysteme, die Secure Elements und Separierung nutzen, die Sicherheit erhöhen.
Kolloquiumsvortrag von Prof. Georg Sigl, Technische Universität München
Dienstag, 17.12.2013, 16:00 Uhr, Hörsaal 47.03 (Elektrotechnikgebäude, Pfaffenwaldring 47)
Informatik-Forum Stuttgart e.V.
In computing, a firewall is a software or hardware-based network security system that controls the incoming and outgoing network traffic based on applied rule set. A firewall establishes a barrier between a trusted, secure internal network and another network (e.g., the Internet) that is not assumed to be secure and trusted.
Many personal computer operating systems include software-based firewalls to protect against threats from the public Internet. Many routers that pass data between networks contain firewall components and, conversely, many firewalls can perform basic routing functions.
Next Generation Network: Security and Architectureijsrd.com
Wireless sensor networks will be widely deployed in the near future. While much research has focused on making these networks feasible and useful, security has received little attention. Wireless Sensor Networks (WSN) are a most challenging and emerging technology for the Research due to their vital scope in the field coupled with their low processing power and associated low energy. As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Because sensor networks may interact with sensitive data and/or operate in hostile unattended environments, it is imperative that these security concerns be addressed from the beginning of the system design staring with a brief overview of the sensor networks security, a review is made of and how to provide the security in the wireless sensor networks. This paper studies the security problems, Requirement, Architecture of WSN and different platform, characterized by severely constrained computational and energy resources, and an ad hoc operational environment.
Review on AES Algorithm Based Secure Data Transmission for Wireless Sensor Ne...EECJOURNAL
Due to vast development of information technology the need of the protection of data also increases for that purpose encryption is done. The security requirements include four major aspect data confidentiality, data integrity, data authentication and data freshness. WSNs have produced enormous enthusiasm among analysts these years in view of their potential utilization in a wide assortment of uses. Sensor hubs are cheap compact gadgets with restricted handling force and vitality assets. Sensor hubs can be utilized to gather data from the earth, locally process this information and transmit the detected information back to the client. For securing that data from attack many algorithms came in existence for cryptography purpose. Be that as it may, the outstanding amongst other existing symmetric security calculation to give information security utilized these days is Advanced encryption standard (AES).
A SECURITY SUITE FOR WIRELESS BODY AREA NETWORKSIJNSA Journal
Wireless Body Area Networks (WBANs) have gained a lot of research attention in recent years since they offer tremendous benefits for remote health monitoring and continuous, real-time patient care. However, as with any wireless communication, data security in WBANs is a challenging design issue. Since such networks consist of small sensors placed on the human body, they impose resource and computational restrictions, thereby making the use of sophisticated and advanced encryption algorithms infeasible. This calls for the design of algorithms with a robust key generation / management scheme, which are reasonably resource optimal. This paper presents a security suite for WBANs, comprised of IAMKeys, an independent and adaptive key management scheme for improving the security of WBANs, and KEMESIS, a key management scheme for security in inter-sensor communication. The novelty of these schemes lies in the use of a randomly generated key for encrypting each data frame that is generated independently at both the sender and the receiver, eliminating the need for any key exchange. The simplicity of the encryption scheme, combined with the adaptability in key management makes the schemes simple, yet secure. The proposed algorithms are validated by performance analysis.
Seminar Report - Network Intrusion Prevention by Configuring ACLs on the Rout...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
Intrusion detection in wireless sensor networkVinayak Raja
• Is a software application that monitors network or system activities for malicious activities policy violations and produces reports to a management station.
• OBJECTIVE: An Intrusion detection system (IDS) is software designed to detect unwanted attempts at accessing, manipulating, and/or disabling of computer mainly through a network, such as the Internet.
• PROBLEM SOLVED: Several types of malicious behaviors that can compromise the security and trust of a computer system. This includes network attacks against vulnerable services, data driven attacks on applications, host based attacks such as privilege escalation, unauthorized logins and access to sensitive files, and viruses. IDS solved this problem.
Wireless sensor networks are made up of number of tiny mobile nodes, which
have the capability of computation, sensing and wireless network communication. The
energy efficiency of each node in such kind of networks is one of the important issues under
consideration. Thus for these networks, sensor nodes life time is basically depends on use of
routing protocols for routing operations in WSN. There are various routing protocols
proposed by different researchers, which are considered as efficient on the basis of
performance of network lifetime and energy scavenging. There are different routing
protocols introduced for WSN such as flat routing protocols, clustering routing protocols,
hierarchical routing protocols etc. On the other hand, there are basically two types of
WSNs, homogeneous and heterogeneous sensor networks. As WSN is vulnerable to different
types of security threats, there are many security methods presented with their own
advantages and disadvantages. Most of security methods are applied only on homogeneous
WSN, but recently some methods were presented to provide the routing security in
heterogeneous WSNs as well. In this paper, the different security threats and Intrusions in
WSNs are presented, with review of different security methods.
Wireless ad hoc networks are autonomous nodes that communicate with each other in a
decentralized manner through multi hop radio network. Wireless nodes form a dynamic network
topology and communicate with each other directly without wireless access point. Wireless networks
are particularly vulnerable to intrusions, as they operate in open medium, and use cooperative
strategies for network communication.
Network Intrusion Prevention by Configuring ACLs on the Routers, based on Sno...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
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.
The Internet of Things (IoT) offers many industries significant new opportunities, but it also exposes them and their customers to a host of security issues. Securing the IoT requires new ways of thinking that can defend the enterprise and its customers against attackers and privacy abuses.
Deep Learning based Threat / Intrusion detection systemAffine Analytics
The article is about a Threat/Intrusion Detection System, which could be used to detect such data leaks/breaches & take a preventive action to contain, if not stop the damage due to breach.
Final Year Engineering Internship Report for Internship at Siemens Information Systems Ltd. Project : Network Intrusion Detection And Prevention Using Snort And Iptables
As sensor networks edge closer towards wide-spread placement, security issues become a central concern. So far, much research has concentrated on making sensor networks feasible and useful, and has not focused on security.
We present a set of security building blocks optimized for resource constrained environments and wireless communication. SPINS has two secure building blocks: SNEP and TESLA. SNEP provides the following important baseline security primitives: Data confidentiality, two-party data authentication, and data freshness. A particularly hard problem is to provide effective broadcast authentication, which is an important mechanism for sensor networks. TESLA is a new protocol which provides authenticated broadcast for severely resource-constrained surroundings. We realized the above protocols, and show that they are practical straighly on minimal hardware: the performance of the protocol suite easily matches the data rate of our network. Additionally, we prove that the suite can be used for building higher level protocols
Der Vortrag zeigt anhand von Beispielen für Angriffe auf eingebettete Systeme, wie sie in vernetzten Systemen heute schon praktiziert werden, wie wichtig Security hier ist.
Aus den Angriffen und einer Prognose über die Weiterentwicklung der System-funktionen werden Sicherheitsanforderungen für eingebettete Systeme der Zukunft abgeleitet. Daraus ergibt sich dann eine Sicherheitsarchitektur für die Systeme mit wichtigen Standardkomponenten als Vertrauensanker. Dazu zählen sogenannte Secure Elements, sichere Identitäten und separierende Betriebssysteme.
Hierzu werden aktuelle Forschungsarbeiten zum Einsatz von Secure Elements im Automobil, Smart Grid und mobilen Endgeräten vorgestellt. Es wird gezeigt, wie sichere Identitäten aus Materialeigenschaften mit Physical Unclonable Functions abgeleitet werden können und wie Betriebssysteme, die Secure Elements und Separierung nutzen, die Sicherheit erhöhen.
Kolloquiumsvortrag von Prof. Georg Sigl, Technische Universität München
Dienstag, 17.12.2013, 16:00 Uhr, Hörsaal 47.03 (Elektrotechnikgebäude, Pfaffenwaldring 47)
Informatik-Forum Stuttgart e.V.
In computing, a firewall is a software or hardware-based network security system that controls the incoming and outgoing network traffic based on applied rule set. A firewall establishes a barrier between a trusted, secure internal network and another network (e.g., the Internet) that is not assumed to be secure and trusted.
Many personal computer operating systems include software-based firewalls to protect against threats from the public Internet. Many routers that pass data between networks contain firewall components and, conversely, many firewalls can perform basic routing functions.
Next Generation Network: Security and Architectureijsrd.com
Wireless sensor networks will be widely deployed in the near future. While much research has focused on making these networks feasible and useful, security has received little attention. Wireless Sensor Networks (WSN) are a most challenging and emerging technology for the Research due to their vital scope in the field coupled with their low processing power and associated low energy. As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Because sensor networks may interact with sensitive data and/or operate in hostile unattended environments, it is imperative that these security concerns be addressed from the beginning of the system design staring with a brief overview of the sensor networks security, a review is made of and how to provide the security in the wireless sensor networks. This paper studies the security problems, Requirement, Architecture of WSN and different platform, characterized by severely constrained computational and energy resources, and an ad hoc operational environment.
Review on AES Algorithm Based Secure Data Transmission for Wireless Sensor Ne...EECJOURNAL
Due to vast development of information technology the need of the protection of data also increases for that purpose encryption is done. The security requirements include four major aspect data confidentiality, data integrity, data authentication and data freshness. WSNs have produced enormous enthusiasm among analysts these years in view of their potential utilization in a wide assortment of uses. Sensor hubs are cheap compact gadgets with restricted handling force and vitality assets. Sensor hubs can be utilized to gather data from the earth, locally process this information and transmit the detected information back to the client. For securing that data from attack many algorithms came in existence for cryptography purpose. Be that as it may, the outstanding amongst other existing symmetric security calculation to give information security utilized these days is Advanced encryption standard (AES).
A SECURITY SUITE FOR WIRELESS BODY AREA NETWORKSIJNSA Journal
Wireless Body Area Networks (WBANs) have gained a lot of research attention in recent years since they offer tremendous benefits for remote health monitoring and continuous, real-time patient care. However, as with any wireless communication, data security in WBANs is a challenging design issue. Since such networks consist of small sensors placed on the human body, they impose resource and computational restrictions, thereby making the use of sophisticated and advanced encryption algorithms infeasible. This calls for the design of algorithms with a robust key generation / management scheme, which are reasonably resource optimal. This paper presents a security suite for WBANs, comprised of IAMKeys, an independent and adaptive key management scheme for improving the security of WBANs, and KEMESIS, a key management scheme for security in inter-sensor communication. The novelty of these schemes lies in the use of a randomly generated key for encrypting each data frame that is generated independently at both the sender and the receiver, eliminating the need for any key exchange. The simplicity of the encryption scheme, combined with the adaptability in key management makes the schemes simple, yet secure. The proposed algorithms are validated by performance analysis.
Seminar Report - Network Intrusion Prevention by Configuring ACLs on the Rout...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
Intrusion detection in wireless sensor networkVinayak Raja
• Is a software application that monitors network or system activities for malicious activities policy violations and produces reports to a management station.
• OBJECTIVE: An Intrusion detection system (IDS) is software designed to detect unwanted attempts at accessing, manipulating, and/or disabling of computer mainly through a network, such as the Internet.
• PROBLEM SOLVED: Several types of malicious behaviors that can compromise the security and trust of a computer system. This includes network attacks against vulnerable services, data driven attacks on applications, host based attacks such as privilege escalation, unauthorized logins and access to sensitive files, and viruses. IDS solved this problem.
Wireless sensor networks are made up of number of tiny mobile nodes, which
have the capability of computation, sensing and wireless network communication. The
energy efficiency of each node in such kind of networks is one of the important issues under
consideration. Thus for these networks, sensor nodes life time is basically depends on use of
routing protocols for routing operations in WSN. There are various routing protocols
proposed by different researchers, which are considered as efficient on the basis of
performance of network lifetime and energy scavenging. There are different routing
protocols introduced for WSN such as flat routing protocols, clustering routing protocols,
hierarchical routing protocols etc. On the other hand, there are basically two types of
WSNs, homogeneous and heterogeneous sensor networks. As WSN is vulnerable to different
types of security threats, there are many security methods presented with their own
advantages and disadvantages. Most of security methods are applied only on homogeneous
WSN, but recently some methods were presented to provide the routing security in
heterogeneous WSNs as well. In this paper, the different security threats and Intrusions in
WSNs are presented, with review of different security methods.
Wireless ad hoc networks are autonomous nodes that communicate with each other in a
decentralized manner through multi hop radio network. Wireless nodes form a dynamic network
topology and communicate with each other directly without wireless access point. Wireless networks
are particularly vulnerable to intrusions, as they operate in open medium, and use cooperative
strategies for network communication.
Network Intrusion Prevention by Configuring ACLs on the Routers, based on Sno...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
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.
The Internet of Things (IoT) offers many industries significant new opportunities, but it also exposes them and their customers to a host of security issues. Securing the IoT requires new ways of thinking that can defend the enterprise and its customers against attackers and privacy abuses.
In this research work an Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) will be implemented to detect and prevent critical networks infrastructure from cyber-attacks. To strengthen network security and improve the network's active defense intrusion detection capabilities, this project will consist of intrusion detection system using honey token based encrypted pointers and intrusion prevention system which based on the mixed interactive honeypot. The Intrusion Detection System (IDS) is based on the novel approach of Honey Token based Encrypted Pointers. This honey token inside the frame will serve as a trap for the attacker. All nodes operating within the working domain of critical infrastructure network are divided into four different pools. This division is based per their computational power and level of vulnerability. These pools are provided with different levels of security measures within the network. IDS use different number of Honey Tokens (HT) per frame for every different pool e.g. Pool-A contains 4 HT/frame, Pool-B contains 3 HT/frame, Pool-C contains 2 HT/frame and Pool-D contain 1 HT/frame. Moreover, every pool uses different types of encryption schemes (AES-128,192,256). Our critical infrastructure network of 64 nodes is under the umbrella of unified security provided by this single Network Intrusion Detection System (NIDS). After the design phase of IDS, we analyze the performance of IDS in terms of True Positives (TP) and False Negatives (FN). Finally, we test these IDS through Network Penetration Testing (NPT) phase. The detection rate depends on the number of honey tokens per frame. Our proposed IDS are a scalable solution and it can be implemented for any number of nodes in critical infrastructure network. However, in case of Intrusion Prevention System (IPS) we use Virtual honeypot technology which is the best active prevention technology among all honeypot technologies. By using the original operating system and virtual technology, the honeypot lures attackers in a pre-arranged manner, analyzes and audits various attacking behavior, tracks the attack source, obtains evidence, and finds effective solutions.
Secure Checkpointing Approach for Mobile Environmentidescitation
Mobile nodes such as mobile phones, laptops etc are widely used nowadays. The
services must be always available, reliable and uninterrupted. The communication must be
secure. Fault tolerance is the most important feature of these systems. To make a system
fault tolerant at operating system level we apply check pointing. Security threats like
information leakage, information theft, information change can be done by a malicious node
at the time of communication between two legitimate nodes. Elliptic curve cryptography is
used to provide authentication, confidentiality, non repudiation etc. Main objective of our
work is to design a low overhead secured fault tolerant system which makes the
computation and communication secure. The saving of system state is needed to recover
from failure. The reliable backing store is also needed for recovery from failure.
In the Sigfox ecosystem, the design and manufacturing of
Sigfox Ready devices and Sigfox Verified sub-systems is under
the responsibility of third parties. These third parties could be
OEMs, ODMs, Silicon vendors, module vendors or customers.
This responsibility includes design and implementation of
sufficient security measures to protect customer applications,
network access credentials and data conveyed on the
network. Therefore, the question arises of what measures
should be mandatory and whether certification or verification
of the device security should be required.
This document studies the risks related to insufficient security
in Sigfox Ready devices in order to raise awareness on this
issue within Sigfox and throughout the Sigfox ecosystem. It is
also a guide to decide what measures could be required in the
design, implementation and manufacturing of Sigfox Ready
devices.
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.
Its is project based on one of the most interesting and wide topic of Computer Science, named Cyber Security
CONTENT :
1. What is Cyber Security
2. Why Cyber Security is Important
3. Brief History
4. Security Timeline
5. Architecture
6. Cyber Attack Methods
7. Technology for Cyber Secuirty
8. Development in Cyber Security
9. Future Trend in Cyber Security
Design and implementation of secured scan based attacks on ic’s by using on c...eSAT Journals
Abstract Physical designing of cryptographic analysis is subjected to various physical attacks. It has been formerly evidenced that scan chains introduce for hardware testability open a back door to potential attacks. Scan based testing technique is mainly used for testing and it provides full observabilty and controllability of the inner nodes of the IC. Therefore, in this paper, we propose a scan-protection scheme that provides testing facilities both at assembly time and over the course of the circuit’s life. An efficient principle is used to scan-in both input vectors and expected responses to compare expected and actual responses inside the circuit. This method has no impact on the feature of the test or the model-based fault analysis when compared to traditional scan tests. It occupies less area on the chip and avoids the authentication test mechanism. Keywords- security, testability, Design-for-testability (DFT), scan-based attack, test pattern generator
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
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:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
JMeter webinar - integration with InfluxDB and Grafana
Vishwanath rakesh ece 561
1. Embedded Security as a new phenomenon in the field of securing different system
and Identifying and preventing hardware Trojan.
CS/ECE 561
RAKESH VISHWANATH
3. Introduction to Embedded Security
In today’s world Embedded Security is one or the other form most important requirement for
increasing number of embedded system.
As future technologies which promise greater interaction between computer and humans
are increasing there security becomes paramount issue which needs to be taken care.
Embedded Security is one form which makes successful deployment of next generation
Embedded System.
Embedded security can’t be solved at a single security abstraction layer, but rather it needs a
more multiple abstraction layer security for systems.
4. Embedded Security Requirement
Embedded System often provide critical functions
that could be attack by malicious entities.
Embedded system security often requires
protecting critical or sensitive information (code or
data) throughout its lifetime.
Security should be such a way that it should
possess data confidentiality, data integrity and peer
authentication.
Security requirement may vary when considered
from the view point of manufacture ex: cellphone.
5. Embedded Security in different systems
Classical and Quantum Cryptography – In Optical Burst Switching.
Traditional by which two separate cores providing security through
isolation and ARM trust Zone technology – In Dual Virtual CPU System.
Classical server based finger print verification and User based scheme where
user authenticates directly from Embedded device - In Bio-metric authentication
Security.
6. Embedded Security in Optical Burst Switching [OBS]
Optical Burst Switching [OBS] is one of the most
promising optical switching technology for future
internet which provides finer granularity but suffers
from security vulnerabilities.
Even though OBS provide IPsec to secure IP network
but its security limit is for traffic that do not
necessary have IP layer.
Best to provide Embedded security framework which
combines both classical and quantum cryptography.
7. Embedded Security in Dual Virtual CPU System
In Dual Virtual CPU System security is the main concern which needs to be solved.
Security in Dual Virtual CPU can be maintained by two ways.
- Traditional by which two separate cores providing security through isolation.
- ARM trust Zone technology.
8. Embedded Security in Dual Virtual CPU System- Continued
The figure shows traditional way of achieving
Embedded Security in Dual Virtual CPU.
In this method there is one SoC package with two
separate system.
First CPU runs the normal world operating system
its memory and peripherals consume lot of space.
Second CPU runs Security sensitive codes and its
complete system is inside SoC.
9. Embedded Security in Dual Virtual CPU System- Continued
The figure shows ARM trust Zone of achieving Embedded
Security in Dual Virtual CPU.
In this method the processor is viewed as two separate
virtual processor while running software.
And in this method switching between trust Zone secure
and normal world is initiated only by extension.
Design using trust Zone approach have the advantage of
dual core CPU approach.
10. Embedded Security as Biometric authentication
Biometric authentication is one form of security which facilitates both user and server
from malicious attack.
Security in Biometric can be achieved in two ways
- Classical server based finger print verification.
- User based scheme where user authenticates directly from Embedded device.
11. Embedded Security as Biometric authentication-Continued
The figure shows the Classical Server based finger
print verification in Biometric authentication.
In this method the user enters his identity into
server ex: magnetic card.
This form of Security scheme posses some security
flaws.
12. Embedded Security as Biometric authentication-Continued
The figure shows the device based scheme where
user authenticates directly from embedded device.
In this method device fingerprint sensor and
template are located, avoiding server based
security issues.
And in this method the device initiates a verification
transaction by transmitting its ID to the server.
13. Identifying Hardware Trojan
In recent years the threat to the security of
Integrated Circuits (IC’s) are Hardware Trojan
Horse.
The figure shows the simple Trojan during normal
operation.
Trojan can be identified by many ways like
- Gate level Characterization.
- Path delay finger print.
- power supply transient signals.
- Current integration method.
14. Identifying Hardware Trojan – Gate level Characterization
The main technical obstacles to Hardware Trojan Horse detection is due to
manufacturing variability.
In this method they first recover the characteristics of gate like recovering
the properties of ICs.
In this method they make use of linear programming to solve the equations
of system created by non destructive measurements of power and delay.
15. Identifying Hardware Trojan – Path delay finger print
In this method Trojans are characterized and the cost of testing is lowered.
In this method the chips are validated by comparing there delay parameter to the
finger prints.
In path delay finger print the whole testing procedure is followed by three methods.
- path delay gathering of nominal chip.
- Finger print generation.
- Trojan Detection.
16. Identifying Hardware Trojan – Power supply transient signals
In this method the Trojans are detected based on the
analysis of power transient signal and statistical
prediction eclipse technique.
In this method process variation takes place due to
power transient signal measured at each port so they
use calibration test.
In calibration test the configure the scan chain to deliver
a step input to the gate of p-channel transistor figure
shows the calibration circuit response.
17. Identifying Hardware Trojan – Current Integration method
In this method the chip is connected by four ports
and they are identified by exhaustive test as shown
in the figure.
In this process the worst case charger will be
obtained in response to pattern set and the pattern
set will be applied to each chip .
In this method the small current difference between
the Trojan inserted and Trojan free circuit can be
magnified by the charger integration process.
18. Isolation of Hardware Trojan
The Isolation of Trojan is done at the final stage after detection of hardware Trojan.
The Trojan Isolation process has made the fact that will draw more current from
their nearest power port.
In this method the current at each power is measured, integrated and compared
with the current integration process of each port.
19. Conclusion
As Embedded System are increasing day by day security is the serious threat,
Embedded security if one form of security which protects from malicious attack.
Embedded Security handles the information in trusted and isolated environment
preventing from the malicious attack of device.
This Survey made an effort to explain Embedded security and their security in
different system along with Identifying and Preventing Hardware Trojans.
20. Reference
[1] Introduction :
a). David D, Hwand “Securing Embedded system” IEEE Security & Privacy April 2006.
b). Paul Kocher, Ruby Lee, Gary McGraw, Anand Raghunathan and Srivaths Ravi “Security as a new dimension in the field of
Embeddded security” published in Citeseer 2004.
[2] Embedded Security Requirement :
Mehran Mozaffari Kermani, Meng Zhang, Anand Raghunathan, Niraj K. Jha “ Emerging Frontiers in Embedded security”. VLSI
design and 2013 12th International conference on embedded system, IEEE 2013.
[3] Embedded Security in different System:
a). Yuhua Chen, Pramode k. Verma and Subhash kak “ Embedded security framework for Integrated Classical and Quantum
Cryptography Service in Optical Burst Switching Network” published on 17th Feb 2009 Wiley Interscience.
b). Wilson.P, Frey.A, Mihm.T,Kershaw D.” Implementing embedded security on Dual Virtual CPU System” Published in Design
& Test computer, IEEE Nov-Dec 2007.
[4] Identifying and detecting Hardware Trojans:
Miodrag Potkonjak, Nahapetian, Nelson, Massey” Hardware Trojan Detection using gate level characterization” Published in
Design automation conference 2009 DAC ’09 46th ACM/IEEE.
[5] Isolation of Hardware Trojans:
Xiaoxiao Wang, Hassan Salmani and Mohammad Tehranipoo,Jim Plusquellic “Hardware Trojan Detection and Isolation Using
Current Integration and Localized Current Analysis IEEE 2008.