For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Lightning continues to have major adverse impacts on the electric power grid, but there are no automated and tightly integrated systems to quickly and accurately identify all of the specific lightning strokes that impact power systems. As it stands today, comparing the estimated lightning parameters produced by continental scale lightning detection systems to the accurately measured local power system data does not produce the needed results. Nearly two decades ago concepts were described that have the potential to provide comprehensive information from the combination of data from these two different kinds of systems in near real time. This presentation gives an overview of lightning detection system evolution, and electric power data monitoring systems, then suggests using open source software (OSS) to develop a new approach for integrating these disparate systems at a fundamental data level to facilitate a dramatic step change in the timeliness and accuracy of identifying lightning strokes that impact the grid. This OSS based approach will foster collaboration and community involvement to further refine and deploy this new paradigm.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document proposes a new measure called M-Score to quantify the potential damage if insider data access is misused. M-Score considers factors like the sensitivity of accessed data, anonymity levels, and the insider's role and history. The document reviews related work on insider threat detection and access control. It then outlines a proposed dynamic access control system that calculates M-Scores and regulates insider access based on their individual thresholds to mitigate misuse risks. The system is designed to work in either a binary access mode or subset disclosure mode to control data exposure.
This document contains an index and list of 94 embedded system projects with topics and years. The projects cover areas like accident notification systems, fall detection, wireless surveillance, gesture recognition, wireless sensor networks, smart homes, traffic control, irrigation systems, and more. Most projects were conducted between 2013-2014 and utilize technologies like ARM, Zigbee, RFID, GPS, and Kinect.
The document proposes a new concept called Misuseability Weight to estimate the potential harm from leaked or misused data exposed to insiders. It assigns a score representing the sensitivity level of the exposed data to predict how it could be maliciously exploited. The M-Score measure calculates this weight for tabular data by using a sensitivity function from domain experts. It aims to help organizations assess risks from insider data exposure and take appropriate prevention steps.
Home automation using android phones-Project 2nd phase pptthrishma reddy
This presentation will be useful for the Information science and Computer science students. It contains Use case diagrams, Activity diagrams and data flow diagrams along with details of other sensors.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Lightning continues to have major adverse impacts on the electric power grid, but there are no automated and tightly integrated systems to quickly and accurately identify all of the specific lightning strokes that impact power systems. As it stands today, comparing the estimated lightning parameters produced by continental scale lightning detection systems to the accurately measured local power system data does not produce the needed results. Nearly two decades ago concepts were described that have the potential to provide comprehensive information from the combination of data from these two different kinds of systems in near real time. This presentation gives an overview of lightning detection system evolution, and electric power data monitoring systems, then suggests using open source software (OSS) to develop a new approach for integrating these disparate systems at a fundamental data level to facilitate a dramatic step change in the timeliness and accuracy of identifying lightning strokes that impact the grid. This OSS based approach will foster collaboration and community involvement to further refine and deploy this new paradigm.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document proposes a new measure called M-Score to quantify the potential damage if insider data access is misused. M-Score considers factors like the sensitivity of accessed data, anonymity levels, and the insider's role and history. The document reviews related work on insider threat detection and access control. It then outlines a proposed dynamic access control system that calculates M-Scores and regulates insider access based on their individual thresholds to mitigate misuse risks. The system is designed to work in either a binary access mode or subset disclosure mode to control data exposure.
This document contains an index and list of 94 embedded system projects with topics and years. The projects cover areas like accident notification systems, fall detection, wireless surveillance, gesture recognition, wireless sensor networks, smart homes, traffic control, irrigation systems, and more. Most projects were conducted between 2013-2014 and utilize technologies like ARM, Zigbee, RFID, GPS, and Kinect.
The document proposes a new concept called Misuseability Weight to estimate the potential harm from leaked or misused data exposed to insiders. It assigns a score representing the sensitivity level of the exposed data to predict how it could be maliciously exploited. The M-Score measure calculates this weight for tabular data by using a sensitivity function from domain experts. It aims to help organizations assess risks from insider data exposure and take appropriate prevention steps.
Home automation using android phones-Project 2nd phase pptthrishma reddy
This presentation will be useful for the Information science and Computer science students. It contains Use case diagrams, Activity diagrams and data flow diagrams along with details of other sensors.
Cyber-Defensive Architecture for Networked Industrial Control SystemsIJEACS
This paper deals with the inevitable consequence of the convenience and efficiency we benefit from the open, networked control system operation of safety-critical applications: vulnerability to such system from cyber-attacks. Even with numerous metrics and methods for intrusion detection and mitigation strategy, a complete detection and deterrence of internal code flaws and outside cyber-attacks has not been found and would not be found anytime soon. Considering the ever incompleteness of detection and prevention and the impact and consequence of mal-functions of the safety-critical operations caused by cyber incidents, this paper proposes a new computer control system architecture which assures resiliency even under compromised situations. The proposed architecture is centered on diversification of hardware systems and unidirectional communication from the proposed system in alerting suspicious activities to upper layers. This paper details the architectural structure of the proposed cyber defensive computer control system architecture for power substation applications and its validation in lab experimentation and on a cybersecurity testbed.
NICE: Network Intrusion Detection and Countermeasure Selection in Virtual Net...Migrant Systems
The document proposes NICE, a network intrusion detection and countermeasure selection framework for virtual network systems. NICE uses attack graph models to detect multi-step attacks. It deploys lightweight agents on cloud servers to capture traffic and analyze vulnerabilities. Suspicious VMs are put in inspection state, where deep packet inspection and virtual network changes are applied to detect attacks without interrupting services. NICE uses software switching and programmable networking to dynamically configure intrusion detection and isolate compromised VMs. Evaluations show NICE efficiently detects attacks while minimizing overhead on cloud resources.
Security optimization of dynamic networks with probabilistic graph modeling a...Pvrtechnologies Nellore
This document summarizes a research paper that presents a probabilistic graph model and algorithms for analyzing network security. It aims to reduce the probability of successful attacks on complex networks that may change dynamically. The model represents network configurations probabilistically to capture uncertainties. It formulates the problem of optimizing network security resources as a linear program to compute optimal placements under constraints. Experiments on real network data show the model accurately computes vulnerability probabilities and efficiently finds optimal security configurations and quantifies risks from mobile devices.
JPJ1439 On False Data-Injection Attacks against Power System State Estimation...chennaijp
We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
IRJET- False Data Injection Attacks in Insider AttackIRJET Journal
This document discusses false data injection attacks and insider threats in computer networks. It proposes a system that uses cameras to detect when an unauthorized external person enters a restricted area of a network for an extended period of time. When this suspicious activity is detected, the system will notify administrators about a potential insider attack. The system aims to increase network security by monitoring for insider threats and detecting unauthorized access. It analyzes existing research on false data injection attacks and vulnerabilities in state estimation systems. The proposed architecture and algorithms, such as Bloom filters and AES encryption, are designed to securely detect and report insider threats in computer networks.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Evasion Streamline Intruders Using Graph Based Attacker model Analysis and Co...Editor IJCATR
Network Intrusion detection and Countermeasure Election in virtual network systems (NICE) are used to establish a
defense-in-depth intrusion detection framework. For better attack detection, NICE incorporates attack graph analytical procedures into
the intrusion detection processes. We must note that the design of NICE does not intend to improve any of the existing intrusion
detection algorithms; indeed, NICE employs a reconfigurable virtual networking approach to detect and counter the attempts to
compromise VMs, thus preventing zombie VMs. NICE includes two main phases: deploy a lightweight mirroring-based network
intrusion detection agent (NICE-A) on each cloud server to capture and analyze cloud traffic. A NICE-A periodically scans the virtual
system vulnerabilities within a cloud server to establish Scenario Attack Graph (SAGs), and then based on the severity of identified
vulnerability toward the collaborative attack goals, NICE will decide whether or not to put a VM in network inspection state. Once a
VM enters inspection state, Deep Packet Inspection (DPI) is applied, and/or virtual network reconfigurations can be deployed to the
inspecting VM to make the potential attack behaviors prominent.
Secure intrusion detection and attack measure selectionUvaraj Shan
This document proposes NICE, a framework for secure intrusion detection and attack mitigation in virtual network systems. NICE uses distributed agents on cloud servers to monitor traffic, detect vulnerabilities, and generate attack graphs. It profiles virtual machines to identify their state and vulnerabilities. When potential attacks are detected, NICE can quarantine suspicious VMs and inspect their traffic. The attack analyzer correlates alerts, constructs attack graphs, and selects appropriate countermeasures based on the graphs. Evaluations show NICE can effectively detect attacks while minimizing performance overhead for the cloud system.
Secure intrusion detection and attack measure selection in virtual network sy...Uvaraj Shan
This document proposes NICE, a framework for secure intrusion detection and attack mitigation in virtual network systems. NICE uses distributed agents on cloud servers to monitor traffic, detect vulnerabilities, and generate attack graphs. It profiles virtual machines to identify their state and vulnerabilities. When potential attacks are detected, NICE can quarantine suspicious VMs and inspect their traffic. The attack analyzer correlates alerts, constructs attack graphs, and selects appropriate countermeasures based on the graphs. Evaluations show NICE can effectively detect attacks while minimizing performance overhead for the cloud system.
Ieeepro techno solutions ieee java project -scalable distributed service int...hemanthbbc
This document presents IntTest, a framework for scalable and effective integrity attestation of services in software-as-a-service clouds. IntTest uses an integrated attestation graph analysis approach to more accurately pinpoint malicious attackers compared to previous methods. It examines both per-function consistency graphs and a global inconsistency graph to limit the scope of damage from colluding attackers. Experimental results on a production cloud system show IntTest achieves higher attacker pinpointing accuracy than existing approaches with minimal performance overhead.
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.
This document discusses network security metrics based on attack graphs. It provides background on attack graphs and how they can be used to analyze network security vulnerabilities. Attack graphs model relationships between vulnerabilities and how attackers could progress through a network. The document proposes several new network security metrics based on attack graphs, such as the K-step Condition Accumulation metric, and presents a new method for measuring network security that involves generating attack graphs, reducing them, and evaluating network security. Future work is needed to develop models for applying attack graphs to individual hosts and to formalize relationships between attributes and attackability.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Cluster Computing Environment for On - line Static Security Assessment of lar...IDES Editor
The increased size of modern power systems
demand faster and accurate means for the security assessment,
so that the decisions for reliable and secure operation planning
could be drawn in a systematic manner. Large computational
overhead is the major impediment in preventing the power
system security assessment (PSSA) from on-line use. To
mitigate this problem, this paper proposes, a cluster computing
based architecture for power system static security assessment,
utilizing the tools in the open source domain. A variant of the
master/slave pattern is used for deploying the cluster of
workstations (COW), which act as the computational engine
for the on-line PSSA. The security assessment is performed
utilizing the developed composite security index that can
accurately differentiate the secure and non-secure cases and
has been defined as a function of bus voltage and line flow
limit violations. Due to the inherent parallel structure of
security assessment algorithm and to exploit the potential of
distributed computing, domain decomposition is employed for
parallelizing the sequential algorithm. Extensive
experimentations were carried out on IEEE 57 bus and IEEE
145-bus 50 machine standard test systems for demonstrating
the validity of the proposed architecture.
This document discusses detecting false data injection attacks using k-means clustering. It begins with an abstract that describes implementing detection of inside attacks in a sub-network using cameras. When an outside person pauses the camera for a specific amount of time, the server can detect this as an inside attack and notify the administrator. The document then reviews related work on cyber attacks against power grids and state estimation. It proposes a system using cameras to monitor for inside attackers pausing cameras. When this occurs, the server will detect an inside attack and inform the administrator. The key algorithm discussed is k-means clustering to classify sensor data and detect attacks.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Cyber-Defensive Architecture for Networked Industrial Control SystemsIJEACS
This paper deals with the inevitable consequence of the convenience and efficiency we benefit from the open, networked control system operation of safety-critical applications: vulnerability to such system from cyber-attacks. Even with numerous metrics and methods for intrusion detection and mitigation strategy, a complete detection and deterrence of internal code flaws and outside cyber-attacks has not been found and would not be found anytime soon. Considering the ever incompleteness of detection and prevention and the impact and consequence of mal-functions of the safety-critical operations caused by cyber incidents, this paper proposes a new computer control system architecture which assures resiliency even under compromised situations. The proposed architecture is centered on diversification of hardware systems and unidirectional communication from the proposed system in alerting suspicious activities to upper layers. This paper details the architectural structure of the proposed cyber defensive computer control system architecture for power substation applications and its validation in lab experimentation and on a cybersecurity testbed.
NICE: Network Intrusion Detection and Countermeasure Selection in Virtual Net...Migrant Systems
The document proposes NICE, a network intrusion detection and countermeasure selection framework for virtual network systems. NICE uses attack graph models to detect multi-step attacks. It deploys lightweight agents on cloud servers to capture traffic and analyze vulnerabilities. Suspicious VMs are put in inspection state, where deep packet inspection and virtual network changes are applied to detect attacks without interrupting services. NICE uses software switching and programmable networking to dynamically configure intrusion detection and isolate compromised VMs. Evaluations show NICE efficiently detects attacks while minimizing overhead on cloud resources.
Security optimization of dynamic networks with probabilistic graph modeling a...Pvrtechnologies Nellore
This document summarizes a research paper that presents a probabilistic graph model and algorithms for analyzing network security. It aims to reduce the probability of successful attacks on complex networks that may change dynamically. The model represents network configurations probabilistically to capture uncertainties. It formulates the problem of optimizing network security resources as a linear program to compute optimal placements under constraints. Experiments on real network data show the model accurately computes vulnerability probabilities and efficiently finds optimal security configurations and quantifies risks from mobile devices.
JPJ1439 On False Data-Injection Attacks against Power System State Estimation...chennaijp
We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
IRJET- False Data Injection Attacks in Insider AttackIRJET Journal
This document discusses false data injection attacks and insider threats in computer networks. It proposes a system that uses cameras to detect when an unauthorized external person enters a restricted area of a network for an extended period of time. When this suspicious activity is detected, the system will notify administrators about a potential insider attack. The system aims to increase network security by monitoring for insider threats and detecting unauthorized access. It analyzes existing research on false data injection attacks and vulnerabilities in state estimation systems. The proposed architecture and algorithms, such as Bloom filters and AES encryption, are designed to securely detect and report insider threats in computer networks.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Evasion Streamline Intruders Using Graph Based Attacker model Analysis and Co...Editor IJCATR
Network Intrusion detection and Countermeasure Election in virtual network systems (NICE) are used to establish a
defense-in-depth intrusion detection framework. For better attack detection, NICE incorporates attack graph analytical procedures into
the intrusion detection processes. We must note that the design of NICE does not intend to improve any of the existing intrusion
detection algorithms; indeed, NICE employs a reconfigurable virtual networking approach to detect and counter the attempts to
compromise VMs, thus preventing zombie VMs. NICE includes two main phases: deploy a lightweight mirroring-based network
intrusion detection agent (NICE-A) on each cloud server to capture and analyze cloud traffic. A NICE-A periodically scans the virtual
system vulnerabilities within a cloud server to establish Scenario Attack Graph (SAGs), and then based on the severity of identified
vulnerability toward the collaborative attack goals, NICE will decide whether or not to put a VM in network inspection state. Once a
VM enters inspection state, Deep Packet Inspection (DPI) is applied, and/or virtual network reconfigurations can be deployed to the
inspecting VM to make the potential attack behaviors prominent.
Secure intrusion detection and attack measure selectionUvaraj Shan
This document proposes NICE, a framework for secure intrusion detection and attack mitigation in virtual network systems. NICE uses distributed agents on cloud servers to monitor traffic, detect vulnerabilities, and generate attack graphs. It profiles virtual machines to identify their state and vulnerabilities. When potential attacks are detected, NICE can quarantine suspicious VMs and inspect their traffic. The attack analyzer correlates alerts, constructs attack graphs, and selects appropriate countermeasures based on the graphs. Evaluations show NICE can effectively detect attacks while minimizing performance overhead for the cloud system.
Secure intrusion detection and attack measure selection in virtual network sy...Uvaraj Shan
This document proposes NICE, a framework for secure intrusion detection and attack mitigation in virtual network systems. NICE uses distributed agents on cloud servers to monitor traffic, detect vulnerabilities, and generate attack graphs. It profiles virtual machines to identify their state and vulnerabilities. When potential attacks are detected, NICE can quarantine suspicious VMs and inspect their traffic. The attack analyzer correlates alerts, constructs attack graphs, and selects appropriate countermeasures based on the graphs. Evaluations show NICE can effectively detect attacks while minimizing performance overhead for the cloud system.
Ieeepro techno solutions ieee java project -scalable distributed service int...hemanthbbc
This document presents IntTest, a framework for scalable and effective integrity attestation of services in software-as-a-service clouds. IntTest uses an integrated attestation graph analysis approach to more accurately pinpoint malicious attackers compared to previous methods. It examines both per-function consistency graphs and a global inconsistency graph to limit the scope of damage from colluding attackers. Experimental results on a production cloud system show IntTest achieves higher attacker pinpointing accuracy than existing approaches with minimal performance overhead.
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.
This document discusses network security metrics based on attack graphs. It provides background on attack graphs and how they can be used to analyze network security vulnerabilities. Attack graphs model relationships between vulnerabilities and how attackers could progress through a network. The document proposes several new network security metrics based on attack graphs, such as the K-step Condition Accumulation metric, and presents a new method for measuring network security that involves generating attack graphs, reducing them, and evaluating network security. Future work is needed to develop models for applying attack graphs to individual hosts and to formalize relationships between attributes and attackability.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Cluster Computing Environment for On - line Static Security Assessment of lar...IDES Editor
The increased size of modern power systems
demand faster and accurate means for the security assessment,
so that the decisions for reliable and secure operation planning
could be drawn in a systematic manner. Large computational
overhead is the major impediment in preventing the power
system security assessment (PSSA) from on-line use. To
mitigate this problem, this paper proposes, a cluster computing
based architecture for power system static security assessment,
utilizing the tools in the open source domain. A variant of the
master/slave pattern is used for deploying the cluster of
workstations (COW), which act as the computational engine
for the on-line PSSA. The security assessment is performed
utilizing the developed composite security index that can
accurately differentiate the secure and non-secure cases and
has been defined as a function of bus voltage and line flow
limit violations. Due to the inherent parallel structure of
security assessment algorithm and to exploit the potential of
distributed computing, domain decomposition is employed for
parallelizing the sequential algorithm. Extensive
experimentations were carried out on IEEE 57 bus and IEEE
145-bus 50 machine standard test systems for demonstrating
the validity of the proposed architecture.
This document discusses detecting false data injection attacks using k-means clustering. It begins with an abstract that describes implementing detection of inside attacks in a sub-network using cameras. When an outside person pauses the camera for a specific amount of time, the server can detect this as an inside attack and notify the administrator. The document then reviews related work on cyber attacks against power grids and state estimation. It proposes a system using cameras to monitor for inside attackers pausing cameras. When this occurs, the server will detect an inside attack and inform the administrator. The key algorithm discussed is k-means clustering to classify sensor data and detect attacks.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document presents a spam zombie detection system called SPOT that monitors outgoing messages from a network. SPOT uses a statistical tool called Sequential Probability Ratio Test to detect compromised machines involved in spamming. When evaluated on a two-month email trace from a large campus network, SPOT identified 132 of 440 internal IP addresses as compromised, with 126 being confirmed and 16 likely compromised. SPOT missed only 7 compromised machines and outperformed detection algorithms based on spam message counts.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document discusses a new mechanism for improving the trustworthiness of a host system and its data by ensuring the correct origin or provenance of critical system information. It defines data provenance integrity as preventing the source of data from being spoofed or tampered with. It then describes a cryptographic provenance verification approach for enforcing this at the kernel level, with two applications - keystroke integrity verification using a Trusted Computing Platform to prevent forged key events, and a lightweight framework for restricting outbound malware traffic to help identify network activities of stealthy malware.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
The document proposes a dynamic trust computation model called "SecuredTrust" for evaluating trust in multi-agent systems. It aims to address issues with existing trust/reputation models, including their inability to properly evaluate trust of agents with unpredictable malicious behavior or provide quick response to behavioral changes. The model also seeks to distribute workload evenly among service-providing agents. The paper analyzes factors for evaluating agent trust, proposes a quantitative trust measurement model, and a novel load-balancing algorithm based on defined factors. Simulation results show the model can effectively handle strategic changes in malicious agents and efficiently distribute workloads compared to other models.
This document discusses extending and aggregating attack graph-based security metrics to more accurately assess network security. It proposes a new suite of complimentary metrics to overcome the shortcomings of existing metrics like shortest path, number of paths, and mean path length. Specifically, it suggests an algorithm to combine these metrics to better determine which of two attack graphs corresponds to the most secure network configuration in many cases.
The document discusses a solution called Assured Digital Signing (ADS) that aims to enhance the trustworthiness of digital signatures. ADS takes advantage of trusted computing and virtualization technologies to examine not only a signature's cryptographic validity, but also its system security validity by ensuring the private signing key and signing function are secure, even if the signing application and operating system kernel are compromised. The modular design of ADS makes it application-transparent and hypervisor-independent. The document reports on an implementation of ADS using the Xen hypervisor to demonstrate feasibility.
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
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Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
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On Energy Security of Server Systems
Abstract—
Power management has become increasingly important for server systems.
Numerous techniques have been proposed and developed to optimize server power
consumption and achieve energy proportional computing. However, the security
perspective of server power management has not yet been studied. In this paper,
we investigate energy attacks, a new type of malicious exploits on server systems.
Targeted solely at abusing server power consumption, energy attacks exhibit very
different attacking behaviors and cause very different victim symptoms from
conventional cyberspace attacks. First, we unveil that today's server systems with
improved power saving technologies are more vulnerable to energy attacks. Then,
we demonstrate a realistic energy attack on a stand-alone server system in three
steps: 1) by profiling energy cost of an open web service under different operation
conditions, we identify the vulnerabilities that subject a server to energy attacks; 2)
exploiting the discovered attack vectors, we design an energy attack that can be
launched anonymously from remote; and 3) we execute the attack and measure the
extent of its damage in a systematic manner. Finally, we highlight the challenges in
defending against energy attacks, and we propose an effective defense scheme to
meet the challenges and evaluate its effectiveness.
Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
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