Autocorrelation change characteristics in .NET

Generator Code-128 in .NET Autocorrelation change characteristics
Autocorrelation change characteristics
Scan Code 128B In Visual Studio .NET
Using Barcode Control SDK for Visual Studio .NET Control to generate, create, read, scan barcode image in .NET framework applications.
the two attacks can be removed from group O1 into two separate groups, producing the attack groups as follows:
Print Code 128B In VS .NET
Using Barcode generation for .NET framework Control to generate, create Code 128 Code Set A image in .NET framework applications.
r Group o1 ( o stands for opposite ): Apache Resource DoS, Security Audit, ARP Poison, r Group o2: Hardware Keylogger and Software Keylogger r Group o3: Remote Dictionary r Group o4: Distributed DoS r Group o5: Rootkit
Code 128B Scanner In .NET
Using Barcode recognizer for Visual Studio .NET Control to read, scan read, scan image in Visual Studio .NET applications.
The grouping result based on the same attack characteristics among the attacks is consistent with the grouping result based on the opposite attack characteristics among the attacks as follows: and Vulnerability Scan
Making Bar Code In Visual Studio .NET
Using Barcode encoder for .NET framework Control to generate, create barcode image in Visual Studio .NET applications.
r The Distributed DoS, Rootkit and ARP Poison attacks in group S1 are grouped together in r The Remote Dictionary attack is different from the other attacks
Barcode Scanner In .NET Framework
Using Barcode reader for Visual Studio .NET Control to read, scan read, scan image in Visual Studio .NET applications.
The three attacks of Hardware Keylogger, Software Keylogger and Vulnerability Scan are grouped differently based on the same attack characteristics and the opposite attack characteristics as follows: group O1
ANSI/AIM Code 128 Creation In C#
Using Barcode creation for VS .NET Control to generate, create Code 128A image in .NET applications.
r In the grouping result based on the same attack characteristics, Hardware Keylogger and r In the grouping result based on the opposite attack characteristics, Hardware Keylogger and
Code 128 Code Set B Maker In .NET
Using Barcode creation for ASP.NET Control to generate, create Code 128 image in ASP.NET applications.
Software Keylogger are grouped together in O2 but are separate from Vulnerability Scan The two attacks of Apache Resource DoS and Security Audit are grouped differently based on the same attack characteristics and the opposite attack characteristics as follows: Vulnerability Scan are grouped together in group S2 but are separate from Software Keylogger
Code 128 Maker In VB.NET
Using Barcode maker for .NET framework Control to generate, create Code 128 Code Set A image in Visual Studio .NET applications.
r In the grouping result based on the same attack characteristics, the two attacks are in separate r In the grouping result based on the opposite attack characteristics, the two attacks are grouped
Bar Code Generation In VS .NET
Using Barcode creator for VS .NET Control to generate, create barcode image in Visual Studio .NET applications.
together in O1 Hence, the attack groups can be classi ed into the following categories based on both the same attack characteristics and the opposite attack characteristics among the attacks: Attack group of similar behavior: groups
Barcode Generation In .NET
Using Barcode encoder for Visual Studio .NET Control to generate, create bar code image in .NET applications.
r Group 1: Distributed DoS, Rootkit, and ARP Poison
UPC Code Generation In VS .NET
Using Barcode creator for .NET framework Control to generate, create UPC-A Supplement 5 image in .NET framework applications.
Summary
GS1 - 12 Maker In Visual Studio .NET
Using Barcode encoder for Visual Studio .NET Control to generate, create UPC - E1 image in .NET applications.
Attack groups of similar behavior in some ways but different behavior in other ways:
Code 128A Maker In Java
Using Barcode printer for Java Control to generate, create Code-128 image in Java applications.
r Group 2: Hardware Keylogger, Software Keylogger, and Vulnerability Scan r Group 3: Apache Resource DoS and Security Audit r Group 4: Remote Dictionary
Painting Bar Code In VB.NET
Using Barcode creator for .NET Control to generate, create barcode image in Visual Studio .NET applications.
Attack groups of different behavior from other attacks:
Barcode Drawer In Java
Using Barcode maker for Java Control to generate, create barcode image in Java applications.
The above attack groups are different from the attack groups based on the mean shift characteristics which are described in 8 and the attack groups based on the distribution change characteristics which are described in 9 This indicates that various attacks manifest differently in different data features
Code-39 Creation In C#
Using Barcode maker for VS .NET Control to generate, create Code39 image in VS .NET applications.
1035 Unique attack characteristics
Bar Code Creator In Visual Basic .NET
Using Barcode drawer for Visual Studio .NET Control to generate, create barcode image in VS .NET applications.
Table 108 gives the number of the autocorrelation increase characteristics for each object that are unique to each attack For example, the ARP Poison attack shows a unique autocorrelation increase characteristic in three Cache variables, Cache\Data Maps/sec, Cache\Copy Read Hits %, and Cache\Read Aheads/sec The Apache Resource DoS attack has the unique autocorrelation increase characteristics in the Network Interface and Physical Disk objects only The Software Keylogger attack produces the unique autocorrelation increase characteristics in nine objects All nine attacks have the unique autocorrelation increase characteristics in multiple objects Table 109 gives the number of the autocorrelation decrease characteristics that are unique to each attack For example, the Software Keylogger attack shows a unique autocorrelation decrease characteristic in Cache\Lazy Write Flushes/sec Since an autocorrelation increase characteristic of this variable appears in the Rootkit attack, this variable is also counted as one opposite characteristic between the Software Keylogger and Rootkit attacks in Table 107 The Rootkit attack has the unique autocorrelation decrease characteristics in the Process and Processor objects only The Vulnerability Scan attack has the unique autocorrelation characteristics in the Cache and Process objects only All nine attacks have the unique autocorrelation increase characteristics in multiple objects
ANSI/AIM Code 128 Generator In Visual C#
Using Barcode creator for .NET framework Control to generate, create Code 128 Code Set B image in VS .NET applications.
104 SUMMARY
Recognize ECC200 In Visual Studio .NET
Using Barcode scanner for Visual Studio .NET Control to read, scan read, scan image in Visual Studio .NET applications.
This chapter describes the autocorrelation change characteristics of the nine attacks, excluding the Fork Bomb and FTP Buffer Over ow Attacks due to their short attack durations The attack groupings based on the same attack characteristics and the opposite attack characteristics are presented, along with the unique attack characteristics of each attack Although the subtle Hardware Keylogger attack does not manifest any signi cant mean shift characteristics, the autocorrelation feature reveals many characteristics of this subtle attack See the discussions in s 8 and 9 for implications of the attack data characteristics and the attack groupings in selecting the optimal set of attack data characteristics, helping investigate novel attacks, enhancing detection performance through extracting subtle attack features, detecting and identifying activities other than cyber attacks, and helping prevent attack evasion
Scan Code 39 Extended In .NET Framework
Using Barcode reader for .NET framework Control to read, scan read, scan image in VS .NET applications.
Table 108 The number of unique autocorrelation increase characteristics for the attacks Attacks ARP 3 1 2 1 1 2 Distributed Hardware Remote Rootkit Security Software Vulnerability