This document discusses techniques for filtering spam emails. It begins with an introduction explaining the rise of spam emails due to increased internet and email usage. It then describes various techniques used to filter spam, including machine learning methods like Bayesian classification and non-machine learning methods like blacklists, whitelists, and header analysis. Next, it covers how data mining techniques like clustering, classification, and association rule mining can be applied to identify spam emails. Finally, it reviews several papers that have compared the performance of techniques like Naive Bayes, SVM, KNN, and neural networks for spam filtering.
Internet Of Things(IoT) is emerging technology in future world.The term IoT comprises of Cloud computing, Data mining,
Big data analytics, hardware board. The Security and Interoperability is a main factor that influences the IoT Enegy
consumption is also main fator for IoT application designing.The various protocols such as MQTT,AMQP,XMPP are used in
IoT.This paper analysis the various protocols used in Internet of Things.
Steganography is the technique of hiding secret data within an ordinary, non-secret, file or
message in order to avoid detection; the secret data is then extracted at its destination. The use of
steganography can be combined with encryption as an extra step for hiding or protecting data. The
word steganographyis derived from the Greek words steganos(hidden or covered) and the Greek root
graph(write).Steganography is dedicated for covert communication. It changes the image in such a way
that only the sender and the intended receiver can detect the message sent through it. Since it is
invisible, the detection of secret data is not simple.
KEY GENERATION FRAMEWORK FOR MULTIPLE WIRELESS DEVICES USING MULTIPATH ROUTINGecij
The secret key generation for wireless devices, use for observing with every devices such as signal strength and range of their distance achieved by lower bit matching via RSS. In previous system they are defined secret key for multiple devices from one centralised device. Signal strength will be varied for each devices and connection of that devices also will be lose when the devices goes out of the range. In recent years network security become important issue. Data can be shared with other devices using secret key. We have designed and implement multiple key generation for multiple devices. Each time generated a new secret key for making communication with other devices. Overcome the range of signal strength and centralised networks, able to communicate with any devices with help of AES. Expand the key strength and create a
different secret key upto 256 bit.
Our future battle field system will have more difficulties to maintain security, because of increasing military competitive. Ability to understand, predict and adopt the vast array of inter-networked things is very difficult. Unwanted fire, unauthorized human intervention and other object movement will play major important role for affecting military environment. This project aims to help our future military environment by introducing new technology LoRaWAN in IoT (Internet of Things). LoRaWAN (Long Range Wide Area Network) is a state -of- art commercial of the self (COTS) technology. This project consist of sensors, embedded microcontrollers equipped with LoRaWAN, embedded processors equipped with LoRaWAN and cloud technology. By introducing this new technology in our future military environment we can easily find out criminal activities and fire hazards.
Technological developments in computer networks increasingly demand security on systems built. Security also requires flexibility, efficiency, and effectiveness. The exchange of information through the internet connection is a common thing to do now. However, this way can be able to trigger data theft or cyber crime which resulted in losses for both parties. Data theft rate is getting higher by using a wireless network. The wireless system does not have any signal restrictions that can be intercepted Filtering is used to restrict incoming access through the internet. It aims to avoid intruders or people who want to steal data. This is fatal if not anticipated. IP and MAC filtering is a way to protect wireless networks from being used and misused by just anyone. This technique is very useful for securing data on the computer if it joins the public network. By registering IP and MAC on a router, this will keep the information unused and stolen. This system is only a few computers that can be connected to a wireless hotspot by IP and MAC Address listed.
Internet Of Things(IoT) is emerging technology in future world.The term IoT comprises of Cloud computing, Data mining,
Big data analytics, hardware board. The Security and Interoperability is a main factor that influences the IoT Enegy
consumption is also main fator for IoT application designing.The various protocols such as MQTT,AMQP,XMPP are used in
IoT.This paper analysis the various protocols used in Internet of Things.
Steganography is the technique of hiding secret data within an ordinary, non-secret, file or
message in order to avoid detection; the secret data is then extracted at its destination. The use of
steganography can be combined with encryption as an extra step for hiding or protecting data. The
word steganographyis derived from the Greek words steganos(hidden or covered) and the Greek root
graph(write).Steganography is dedicated for covert communication. It changes the image in such a way
that only the sender and the intended receiver can detect the message sent through it. Since it is
invisible, the detection of secret data is not simple.
KEY GENERATION FRAMEWORK FOR MULTIPLE WIRELESS DEVICES USING MULTIPATH ROUTINGecij
The secret key generation for wireless devices, use for observing with every devices such as signal strength and range of their distance achieved by lower bit matching via RSS. In previous system they are defined secret key for multiple devices from one centralised device. Signal strength will be varied for each devices and connection of that devices also will be lose when the devices goes out of the range. In recent years network security become important issue. Data can be shared with other devices using secret key. We have designed and implement multiple key generation for multiple devices. Each time generated a new secret key for making communication with other devices. Overcome the range of signal strength and centralised networks, able to communicate with any devices with help of AES. Expand the key strength and create a
different secret key upto 256 bit.
Our future battle field system will have more difficulties to maintain security, because of increasing military competitive. Ability to understand, predict and adopt the vast array of inter-networked things is very difficult. Unwanted fire, unauthorized human intervention and other object movement will play major important role for affecting military environment. This project aims to help our future military environment by introducing new technology LoRaWAN in IoT (Internet of Things). LoRaWAN (Long Range Wide Area Network) is a state -of- art commercial of the self (COTS) technology. This project consist of sensors, embedded microcontrollers equipped with LoRaWAN, embedded processors equipped with LoRaWAN and cloud technology. By introducing this new technology in our future military environment we can easily find out criminal activities and fire hazards.
Technological developments in computer networks increasingly demand security on systems built. Security also requires flexibility, efficiency, and effectiveness. The exchange of information through the internet connection is a common thing to do now. However, this way can be able to trigger data theft or cyber crime which resulted in losses for both parties. Data theft rate is getting higher by using a wireless network. The wireless system does not have any signal restrictions that can be intercepted Filtering is used to restrict incoming access through the internet. It aims to avoid intruders or people who want to steal data. This is fatal if not anticipated. IP and MAC filtering is a way to protect wireless networks from being used and misused by just anyone. This technique is very useful for securing data on the computer if it joins the public network. By registering IP and MAC on a router, this will keep the information unused and stolen. This system is only a few computers that can be connected to a wireless hotspot by IP and MAC Address listed.
A LIGHT WEIGHT PROTOCOL TO PROVIDE LOCATION PRIVACY IN WIRELESS BODY AREA NET...IJNSA Journal
Location privacy is one of the major security problems in a Wireless Body Area Networks (WBANs). An eavesdropper can keep track of the place and time devices are communicating. To make things even worse, the attacker does not have to be physically close to the communicating devices, he can use a device with a stronger antenna. The unique hardware address of a mobile device can often be linked to the identity of the user operating the device. This represents a violation of the user’s privacy. The user should decide when his/her location is revealed and when not. In this paper, we first categorize the type of eavesdroppers for WBANs, and then we propose a new scheme to provide the location privacy in Wireless Body Area Networks (WBANs).
Dual method cryptography image by two force secure and steganography secret m...TELKOMNIKA JOURNAL
With the go on the evolution of both computer and internet technology, videos, sounds, and scripts are used more and more often. It can be used in sundry techniques in ciphering and data concealing. The objective of this paper is leading to the suggestion of a new method of the combination between encryption and concealment of information so as to make it difficult to identify the transmitted datavia networks. This study has used two force secure (2FS) to encrypt the images, in other words, the SF is frequent twice on the image, to obtain powerful encryption then the concealing of the secret message is done inside the cryptography of the image has been performed using a secret key (cosine curve), and this stego-encryption image has been transformed forthe Internet of things storage in the database in IoT (data flow), when the user needs any information can be access inviaof internet of things (IoTs). The outcome of the proposed system is obtained tobe evaluated through different measures, such aspeak signal noise ratio (PSNR), mean square error (MSE), entropy,correlation coefficient, and histogram. The proposed system is good, efficient, fast, has high security, robustness, and transparency.
Location Based Encryption-Decryption Approach for Data SecurityEditor IJCATR
Data security is an important task in today‟s life. Data security can be done using GPS device. Among computer user mostly
use data in electronic format. How to provide a security for data is important. In this paper, we propose a Location Based Data-
Security System to secure data by applying Encryption-Algorithm and co-ordinate using GPS device. Encryption means of efficient
secure integer comparison. The encryption technology cannot restrict the location of data decryption. In order to meet the demand of a
location-dependent approach location-dependent data encryption algorithm is needed. A target latitude/longitude co-ordinate is
determined firstly. The co-ordinate is incorporated with a random key for data encryption. The receiver can only decrypt the cipher
text when the co-ordinate acquired from GPS receiver is matched with the target co-ordinate. GPS-based encryption is an innovative
technique that uses GPS-technology to encode location information into the encryption keys to provide location based security. GPSbased
encryption adds another layer of security on top of existing encryption methods by restricting the decryption of a message to a
particular location. Our experimental results not only validate the effectiveness of our scheme, but also demonstrate that the proposed
integer comparison scheme performs better than previous bitwise comparison scheme.
A LIGHT WEIGHT PROTOCOL TO PROVIDE LOCATION PRIVACY IN WIRELESS BODY AREA NET...IJNSA Journal
Location privacy is one of the major security problems in a Wireless Body Area Networks (WBANs). An eavesdropper can keep track of the place and time devices are communicating. To make things even worse, the attacker does not have to be physically close to the communicating devices, he can use a device with a stronger antenna. The unique hardware address of a mobile device can often be linked to the identity of the user operating the device. This represents a violation of the user’s privacy. The user should decide when his/her location is revealed and when not. In this paper, we first categorize the type of eavesdroppers for WBANs, and then we propose a new scheme to provide the location privacy in Wireless Body Area Networks (WBANs).
Dual method cryptography image by two force secure and steganography secret m...TELKOMNIKA JOURNAL
With the go on the evolution of both computer and internet technology, videos, sounds, and scripts are used more and more often. It can be used in sundry techniques in ciphering and data concealing. The objective of this paper is leading to the suggestion of a new method of the combination between encryption and concealment of information so as to make it difficult to identify the transmitted datavia networks. This study has used two force secure (2FS) to encrypt the images, in other words, the SF is frequent twice on the image, to obtain powerful encryption then the concealing of the secret message is done inside the cryptography of the image has been performed using a secret key (cosine curve), and this stego-encryption image has been transformed forthe Internet of things storage in the database in IoT (data flow), when the user needs any information can be access inviaof internet of things (IoTs). The outcome of the proposed system is obtained tobe evaluated through different measures, such aspeak signal noise ratio (PSNR), mean square error (MSE), entropy,correlation coefficient, and histogram. The proposed system is good, efficient, fast, has high security, robustness, and transparency.
Location Based Encryption-Decryption Approach for Data SecurityEditor IJCATR
Data security is an important task in today‟s life. Data security can be done using GPS device. Among computer user mostly
use data in electronic format. How to provide a security for data is important. In this paper, we propose a Location Based Data-
Security System to secure data by applying Encryption-Algorithm and co-ordinate using GPS device. Encryption means of efficient
secure integer comparison. The encryption technology cannot restrict the location of data decryption. In order to meet the demand of a
location-dependent approach location-dependent data encryption algorithm is needed. A target latitude/longitude co-ordinate is
determined firstly. The co-ordinate is incorporated with a random key for data encryption. The receiver can only decrypt the cipher
text when the co-ordinate acquired from GPS receiver is matched with the target co-ordinate. GPS-based encryption is an innovative
technique that uses GPS-technology to encode location information into the encryption keys to provide location based security. GPSbased
encryption adds another layer of security on top of existing encryption methods by restricting the decryption of a message to a
particular location. Our experimental results not only validate the effectiveness of our scheme, but also demonstrate that the proposed
integer comparison scheme performs better than previous bitwise comparison scheme.
A Heuristic Approach for Network Data Clusteringidescitation
In this growing world of technology there are lots of security threats received by
each and every area of computer networks. Most of the time the network security threats
produce high false positive and negative ratios, this creates an obstacle for any security
system to work improperly. The overwhelming threats make it challenging to understand
and manage the network data.
To address this problem we present a novel approach which eventually understand the
network data by clustering them without background knowledge of any threats according to
various parameters like source IP, Destination IP etc. And this approach saves
administrator’s time and energy in processing of large amount threats.
OPTIMIZING HYPERPARAMETERS FOR ENHANCED EMAIL CLASSIFICATION AND FORENSIC ANA...IJNSA Journal
Electronic mail, commonly known as email, is a crucial technology that enables streamlined operations and communications in corporate environments. Empowering swift and dependable transactions, email is a driving force behind heightened productivity and organizational effectiveness. However, its versatility also renders it susceptible to misuse by cybercriminals engaging in activities such as hacking, spoofing, phishing, email bombing, whaling, and spamming. As a result, effective and efficient data analysis is important in avoiding and detecting cyber-attacks and crime on times. To overcome the above challenges, a novel approach named Aquila Optimization (AO) is used in this paper to find the best set of hyperparameters of the Stacked Auto Encoder (SAE) classifier. The purpose of increasing the hyperparameters of the SAE using the AO is to obtain a higher text classification accuracy. Then the optimized SAE classifies the selected features into different classes. The experimental results showed that the proposed AO-SAE model outperforms the existing models such as Logistic Regression (LR) and Long Short-Term Model based Gated Current Unit (LSTM based GRU) in terms of Accuracy.
Identifying Valid Email Spam Emails Using Decision TreeEditor IJCATR
The increasing use of e-mail and the growing trend of Internet users sending unsolicited bulk e-mail, the need for an antispam
filtering or have created, Filter large poster have been produced in this area, each with its own method and some parameters are
to recognize spam. The advantage of this method is the simultaneous use of two algorithms decision tree ID3 - Mamdani and Naive
Bayesian is fuzzy. The first two algorithms are then used to detect spam Bagging approach is to identify spam. In the evaluation of this
dataset contains a thousand letters have been analyzed by the software Weka charts provided in spam detection accuracy than previous
methods of improvement
Identification of Spam Emails from Valid Emails by Using VotingEditor IJCATR
In recent years, the increasing use of e-mails has led to the emergence and increase of problems caused by mass unwanted
messages which are commonly known as spam. In this study, by using decision trees, support vector machine, Naïve Bayes theorem
and voting algorithm, a new version for identifying and classifying spams is provided. In order to verify the proposed method, a set of
a mails are chosen to get tested. First three algorithms try to detect spams, and then by using voting method, spams are identified. The
advantage of this method is utilizing a combination of three algorithms at the same time: decision tree, support vector machine and
Naïve Bayes method. During the evaluation of this method, a data set is analyzed by Weka software. Charts prepared in spam
detection indicate improved accuracy compared to the previous methods.
WORKLOAD CHARACTERIZATION OF SPAM EMAIL FILTERING SYSTEMSIJNSA Journal
Email systems have suffered from degraded quality of service due to rampant spam, phishing and fraudulent emails. This is partly because the classification speed of email filtering systems falls far behind the requirements of email service providers. We are motivated to address this issue from the perspective of computer architecture support. In this paper, as the first step towards novel architecture designs, we present extensive performance data collected from measurement and profiling experiments using representative email filtering systems including CRM114, DSPAM, SpamAssassin and TREC Bogofilter. We provide detailed analysis of the time consuming functions in the systems under study. We also show how the processor architecture parameters affect the performance of these email filters through simulation experiments.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A multi classifier prediction model for phishing detectioneSAT Journals
Abstract Phishing is the technique of stealing personal and sensitive information from an email client by sending emails that impersonates like the ones from some trustworthy organizations. Phishing mails are a specific type of spam mails; however the effects of them are much more terrible than alternate sorts. Mostly the phishing attackers aim the clients of the financial organizations, so its detection needs high priority. Lots of research activities are done to detect the phished emails, in the proposed methodology a multi-classifier prediction model is introduced for detecting phished emails. Our contention is that solitary classifier prediction might not be satisfactory to urge the clearest picture of the phishing email; multi-classifier prediction has accuracy 99.8% with an FP rate of 0.8%. Keywords: Phishing email detection, Machine learning techniques, Multi-classifier prediction model, Majority voting
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.