The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform
Cade Kamachi - One of the best experts on this subject based on the ideXlab platform.
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Thinking Like the Enemy
Detecting and Combating Malicious Email, 2020Co-Authors: Julie J.c.h. Ryan, Cade KamachiAbstract:Understanding the psychology of Malicious Messaging can be as much of a resource to stopping it as any log file technology or security analysis. The vast majority of attacks are aimed at anyone who will respond, whereas only a small minority of attacks are exquisitely targeted for very high value targets. There are two primary goals for a sender of a Malicious email. The first goal is for you to actually see the email. This means that the email needs to be constructed to avoid automated scanning and quarantining programs. The second goal is to have you act on the email. In some cases, this is as simple as opening it and reading it. In other cases, the sender wants you to open an attachment. Success for the bad guys comes when someone opens and replies to their messages, shares a like-farming post, clicks on a Malicious link, or opens an attachment.
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Chapter 6 – The Malicious Messaging Layered-Defense Framework
Detecting and Combating Malicious Email, 2015Co-Authors: Julie J.c.h. Ryan, Cade KamachiAbstract:For those who are responsible for the security of an enterprise or a group effort, an approach to managing the challenge of Malicious Messaging is useful. The best solution lies not in any single tool or school of thought, but in the layering of many of these tools in such a way as to create a layered approach to protection, which you can think about as similar to the layers of an onion: each layer provides a level of protection, but if it fails, there is another one underneath it. The “Malicious Messaging Layered Defense Framework,” or MMLDF, provides you with a guide to better consider and approach the task of defending the network from technical attacks based on social weaknesses or vulnerabilities.
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chapter 6 the Malicious Messaging layered defense framework
Detecting and Combating Malicious Email, 2015Co-Authors: Julie J.c.h. Ryan, Cade KamachiAbstract:For those who are responsible for the security of an enterprise or a group effort, an approach to managing the challenge of Malicious Messaging is useful. The best solution lies not in any single tool or school of thought, but in the layering of many of these tools in such a way as to create a layered approach to protection, which you can think about as similar to the layers of an onion: each layer provides a level of protection, but if it fails, there is another one underneath it. The “Malicious Messaging Layered Defense Framework,” or MMLDF, provides you with a guide to better consider and approach the task of defending the network from technical attacks based on social weaknesses or vulnerabilities.
Julie J.c.h. Ryan - One of the best experts on this subject based on the ideXlab platform.
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Thinking Like the Enemy
Detecting and Combating Malicious Email, 2020Co-Authors: Julie J.c.h. Ryan, Cade KamachiAbstract:Understanding the psychology of Malicious Messaging can be as much of a resource to stopping it as any log file technology or security analysis. The vast majority of attacks are aimed at anyone who will respond, whereas only a small minority of attacks are exquisitely targeted for very high value targets. There are two primary goals for a sender of a Malicious email. The first goal is for you to actually see the email. This means that the email needs to be constructed to avoid automated scanning and quarantining programs. The second goal is to have you act on the email. In some cases, this is as simple as opening it and reading it. In other cases, the sender wants you to open an attachment. Success for the bad guys comes when someone opens and replies to their messages, shares a like-farming post, clicks on a Malicious link, or opens an attachment.
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Chapter 6 – The Malicious Messaging Layered-Defense Framework
Detecting and Combating Malicious Email, 2015Co-Authors: Julie J.c.h. Ryan, Cade KamachiAbstract:For those who are responsible for the security of an enterprise or a group effort, an approach to managing the challenge of Malicious Messaging is useful. The best solution lies not in any single tool or school of thought, but in the layering of many of these tools in such a way as to create a layered approach to protection, which you can think about as similar to the layers of an onion: each layer provides a level of protection, but if it fails, there is another one underneath it. The “Malicious Messaging Layered Defense Framework,” or MMLDF, provides you with a guide to better consider and approach the task of defending the network from technical attacks based on social weaknesses or vulnerabilities.
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chapter 6 the Malicious Messaging layered defense framework
Detecting and Combating Malicious Email, 2015Co-Authors: Julie J.c.h. Ryan, Cade KamachiAbstract:For those who are responsible for the security of an enterprise or a group effort, an approach to managing the challenge of Malicious Messaging is useful. The best solution lies not in any single tool or school of thought, but in the layering of many of these tools in such a way as to create a layered approach to protection, which you can think about as similar to the layers of an onion: each layer provides a level of protection, but if it fails, there is another one underneath it. The “Malicious Messaging Layered Defense Framework,” or MMLDF, provides you with a guide to better consider and approach the task of defending the network from technical attacks based on social weaknesses or vulnerabilities.
Shafiq Ur Rehman - One of the best experts on this subject based on the ideXlab platform.
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Malicious users' circle detection in social network based on spatio-temporal co-occurrence
International Conference on Computer Networks and Information Technology, 2011Co-Authors: Zahid Halim, Najam Ul Hassan, Rauf Baig, Shafiq Ur RehmanAbstract:Online social networks have witnessed massive increase from the point of view of users during last decade. However, it is also becoming center of attraction for spammers. It is a complex problem to trace spammers on a large scale. Since spammers communicate covertly so by analyzing simple graph of social network, they cannot be identified. In order to find the circle of people involved in the Malicious Messaging, we associate people on the basis of their spatio-temporal co-occurrence i.e. people frequently communicating with each other. In this paper, we associate people on the basis of their spatio-temporal co-occurrence and find the users involved in Malicious communications.
Zahid Halim - One of the best experts on this subject based on the ideXlab platform.
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Malicious users' circle detection in social network based on spatio-temporal co-occurrence
International Conference on Computer Networks and Information Technology, 2011Co-Authors: Zahid Halim, Najam Ul Hassan, Rauf Baig, Shafiq Ur RehmanAbstract:Online social networks have witnessed massive increase from the point of view of users during last decade. However, it is also becoming center of attraction for spammers. It is a complex problem to trace spammers on a large scale. Since spammers communicate covertly so by analyzing simple graph of social network, they cannot be identified. In order to find the circle of people involved in the Malicious Messaging, we associate people on the basis of their spatio-temporal co-occurrence i.e. people frequently communicating with each other. In this paper, we associate people on the basis of their spatio-temporal co-occurrence and find the users involved in Malicious communications.
Najam Ul Hassan - One of the best experts on this subject based on the ideXlab platform.
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Malicious users' circle detection in social network based on spatio-temporal co-occurrence
International Conference on Computer Networks and Information Technology, 2011Co-Authors: Zahid Halim, Najam Ul Hassan, Rauf Baig, Shafiq Ur RehmanAbstract:Online social networks have witnessed massive increase from the point of view of users during last decade. However, it is also becoming center of attraction for spammers. It is a complex problem to trace spammers on a large scale. Since spammers communicate covertly so by analyzing simple graph of social network, they cannot be identified. In order to find the circle of people involved in the Malicious Messaging, we associate people on the basis of their spatio-temporal co-occurrence i.e. people frequently communicating with each other. In this paper, we associate people on the basis of their spatio-temporal co-occurrence and find the users involved in Malicious communications.