A Practical Approach to Asses Fatal Attacks in Enterprise Network to Identify Effective Mitigation Techniques

Abstract

For any organization, having a secured network is the primary thing to reach their business requirements. A network is said to be secured when it can sustain from attacks, which may damage the whole network. Over the last few decades, internetworking has grown tremendously and lot of importance is given to secure the network. To develop a secure network, network administrators must have a good understanding of all attacks that are caused by an intruder and their mitigation techniques. This paper explores the most fatal attacks that might cause serious downtime to an enterprise network and examines practical approaches to understand the behavior of the attacks and devise effective mitigation techniques. It also describes the importance of security policies and how security policies are designed in real world.

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International Journal of Computer Networks and Communications Security
VOL. 2, NO. 9, SEPTEMBER 2014, 298–307
Available online at: www.ijcncs.org
ISSN 2308-9830
A Practical Approach to Asses Fatal Attacks in Enterprise Network
to Identify Effective Mitigation Techniques
UMME SALSABIL1, M. TANSEER ALI2, MD. MANIRUL ISLAM3
1 Graduate Student, Faculty of Engineering, American International University-Bangladesh
2 Assistant Professor, Faculty of Engineering, American International University-Bangladesh
3 Assistant Professor, Faculty of Science and IT, American International University-Bangladesh
E-mail: 1salsabil@aiub.edu, 2tanseer@aiub.edu, 3manirul@aiub.edu
ABSTRACT
For any organization, having a secured network is the primary thing to reach their business requirements. A
network is said to be secured when it can sustain from attacks, which may damage the whole network. Over
the last few decades, internetworking has grown tremendously and lot of importance is given to secure the
network. To develop a secure network, network administrators must have a good understanding of all
attacks that are caused by an intruder and their mitigation techniques. This paper explores the most fatal
attacks that might cause serious downtime to an enterprise network and examines practical approaches to
understand the behavior of the attacks and devise effective mitigation techniques. It also describes the
importance of security policies and how security policies are designed in real world.
Keywords: DoS Attack, ARP Spoofing, Evil Twin Attack, Man-in-the-middle Attack, DHCP Starvation.
1 INTRODUCTION
The Internet continues to grow exponentially.
Personal, government, and business applications
continue to multiply on the Internet, with
immediate benefits to end users. However, these
network-based applications and services can pose
security risks to individuals and to the information
resources of companies and governments.
Information is an asset that must be protected. With
the advent of new technologies, sophisticated
attacks are increasing as well paralyzing enterprise
network thus causing financial loss. According to
statistical data, it is being observed that majority of
the attacks are now being originated from inside
network. So it has become more challenging to
secure inside perimeter network as the traffic is not
traversing the firewall and firewall by default trusts
the inside network. The aim of this research is to
assess the behavior of some of the fatal attacks
using de-facto tools in an effort to identify effective
and practical mitigation attacks. Choosing a
particular mitigation technique for an attack has an
impact on the overall performance of the network,
because each attack has different ways for
mitigation.
The attacks are carried out using both physical
equipment and simulators. The data gathered is
analyzed using industry standard data analysis tools
to measure the efficacy of techniques that can
significantly reduce network downtime.
2 ATTACK ANALYSIS
The following fatal attacks were being assessed:
2.1 MAC Flooding Attack
MAC flooding is a technique employed to
compromise the security of network switches.
Switches maintain a MAC Table that maps
individual MAC addresses on the network to the
physical ports on the switch. In a typical MAC
flooding attack, a switch is fed many Ethernet
frames, each containing different source MAC
addresses, by the attacker. The intention is to
consume the limited memory set aside in the switch
to store the MAC address table. After launching a

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successful MAC flooding attack, a malicious user
could then use a packet analyzer to capture
sensitive data being transmitted between other
computers, which would not be accessible were the
switch operating normally.
To simulate the attack, we used Dsniffs ‘macof’
tool in Kali Linux environment in the attacker
machine which generates random MAC addresses
exhausting the switch’s memory. It is capable of
generating 155,000 MAC entries on a switch per
minute. But the question is, what happens if the
switch is asked to process a constant stream of
MAC addresses? In certain circumstances and on
certain switches, this will cause the switch to go
into a fail-safe mode, in which it basically turns
into a hub. In other words, by overloading the
switch, a hacker could have access to all the data
passing through the switch.
Fig. 1. MAC Flooding using macof
2.2 DHCP Starvation Attack
DHCP means Dynamic Host Configuration
Protocol, where DHCP Server provides IP Address,
Subnet Mask, Gateway Address and DNS Server
Addresses. The following diagram illustrates how
DHCP works.
Fig. 2. DHCP Operation
The intent of the DHCP Consumption Attack is
for the Attacker to prevent hosts from gaining
access to the network by denying them an IP
address by consuming all of the available IP
address in the DHCP Pool.
Fig. 3. DHCP Attack Test Scenario
To simulate real-world attack, we used Yersinia
tool in Kali Linux environment and generated fake
DHCP Discover messages from attacker machine.
DHCP server address space was full within a while.
Fig. 4. DHCP Attack Using Yersinia
We used Wireshark tool to capture data from
attacker machine to analyze the data for further
investigation.
Fig. 5. Wireshark capture from attacker PC

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Wireshark Data Analysis
Attack Ratio, PPS : 35000 (Avg.)
Attack Duration : 1 minute to 5 minute
Attack Source,
MAC
: Random, Dynamic
Attack Message
Type
: DHCP Discover
Attack Result : DHCP address pool
exhausted and
legitimate users will
not get IP address
from DHCP Server
2.3 ARP Spoofing
ARP stands for Address Resolution Protocol and
it allow the network to translate IP addresses into
MAC addresses. Basically, ARP works like this:
When one host using IP on a LAN is trying to
contact another it needs the MAC address of the
host it is trying to contact. It first looks in its ARP
cache to see if it already has the MAC address, but
if not it broadcasts out an ARP request asking "
who has this IP address I'm looking for?" If the host
that has that IP address hears the ARP query it will
respond with its own MAC address and a
conversation can begin using IP. In common bus
networks like Ethernet using a hub or 801.11b all
traffic can be seen by all hosts whose NICs are in
promiscuous mode, but things are a bit different on
switched networks. A switch looks at the data sent
to it and tries to only forwards packets to its
intended recipient based on MAC address.
Switched networks are more secure and help speed
up the network by only sending packets where they
need to go. Using a program like Arpspoof,
Ettercap or Cain we can lie to other machines on
the local area network and tell them we have the IP
they are looking for, thus funneling their traffic
through us.
To simulate real-world attack, we used arpspoof
tool in Kali Linux environment to redirect packets
from a target host on the LAN intended for another
host on the LAN by forging ARP replies.
Fig. 6. ARP Spoofing
SSLStrip was being used to reroute encrypted
HTTPS requests from network users to plaintext
HTTP requests, effectively sniffing all credentials
passed along the network via SSL. Finally, we used
ettercap for credentials hijacking.
Fig. 7. Sniffed Data
In the victim machine, the only visible change is
in ARP table. The attacker machine’s MAC address
replaces the gateway router’s MAC address after
ARP spoofing. From the Wireshark capture, we can
clearly see that the MAC address of the destination
host is that of the attacking machine.
Fig. 8. Wireshark Capture of ARP Spoofing
In short, ARP Spoofing is the mother of most of
the deadliest Man-in-the-Middle attacks [1].
2.4 ICMP Flood Attack
ICMP Flood attacks exploit the Internet Control
Message Protocol (ICMP), which enables users to
send an echo packet to a remote host to check
whether it’s alive. During a DDoS ICMP flood
attack the agents send large volumes of
ICMP_ECHO_ REPLY packets (“ping”) to the
victim. These packets request reply from the victim
and this results in saturation of the bandwidth of the
victim’s network connection. During an ICMP
flood attack the source IP address may be spoofed
[4].
To simulate real-world ICMP flood attack, we
used Hping3 tool to flood victim’s machine with
ICMP_ECHO_REPLY message.

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Fig. 9. Wireshark Capture of ICMP Flood Attack
2.5 Wifi Jamming Attack
Wi-Fi is increasingly becoming the preferred
mode of internet connection all over the world. To
access this type of connection, one must have a
wireless adapter on their computer. Wi-Fi provides
wireless connectivity by emitting frequencies
between 2.4GHz to 5GHz based on the amount of
data on the network. Since RF is essentially an
open medium, jamming can be a huge problem for
wireless networks. Jamming is one of many
exploits used compromise the wireless
environment. It works by denying service to
authorized users as legitimate traffic is jammed by
the overwhelming frequencies of illegitimate
traffic. A knowledgeable attacker with advanced
software like wirelessmon can detect and request
connection to Hotspots and easily jam the 2.4 GHz
frequency in a way that drops the signal to a level
where the wireless networks can no longer
function.
To simulate real-world WiFi Jamming attack, we
used airmon-ng to search for monitor interface and
airodump-ng to get target network details e.g.
ESSID, BSSID, and Channel Number. Then the
attack can be launched using mdk3 or other wifi-
jammer tool. The attack floods the wireless AP with
unsolicited authentication messages and jams the
wireless network.
Fig. 10. Wireshark Capture of Jamming Attack
Wireshark Data Analysis
Attack Ratio : 217 PPS
Attack Type : Authentication Message
from random spoofed
sources
Attack Result : Jams the WiFi BSSID with
unicast flood and other
mobile stations would be
disconnected from the
network
2.6 Wifi Hacking
WEP Wired Equivalent privacy uses weak 40 bit
key & short 24-bit initialization vectors to encrypt
data. It was discovered that WEP could be cracked
within minutes with standard off the shelf
equipment. The reason for this weakness is the
short IV (initialization vector) and the keys aren’t
changed, except by the user.
WEP uses the stream cipher RC4 for
confidentiality and the CRC-32 checksum for
integrity. The RC4 cipher stream is generated by a
40 or 64-bit RC4 key to encrypt and decrypt the
data. There is also a 128 bit key that is used known
as WEP2. The key is composed of a 24-bit IV
(initialization vector) with a 40-bit WEP key. The
user entered key is a 26 digit hexadecimal string
where each character represents four bits of the key.
The 26 digits represent 104 bit with addition of the
24-bit IV makes a 128-bit key.
The next security protocol, WPA (Wi-Fi
Protected Access) was implemented because of the
weaknesses in the WEP protocol. With APA there
are two kinds of authentication types WPA-
Enterprise and WPA-Home. A good choice for
small office and home use is WPA-PSK (Pre-
Shared Key) because it is simple to setup and is
compatible with many types of hardware. WPA-
PSK uses 8 to 63 ASCII or 64 hex digit character
pass-phrase created by the user and entered in a
client. The stronger this key, the stronger the
security is because weak keys are subject to
password cracking.
A stronger form of WPA released in 2004 is
known as WPA2. The advantage of WPA2 is that it
provides stronger encryption with the use of AES
(Advanced Encryption Standard) which may be a
requirement for some government or corporate
users. All WPA2 that are Wi-Fi certified are
backward compatible with WPA. WPA and WPA2
both use “fresh” sessions using a unique encryption
keys for each client which are specific to that client.

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Fig. 11. WEP Passphrase into WiFi Router
To simulate real-world attack, we used wifite tool
to crack WEP passphrase. Wifite automatically puts
a wireless interface into monitor mode and starts
scanning for the nearby wireless networks. After
selecting the ESSID, wifite automatically starts
processing and find the passphrase.
Fig. 12. WEP Passphrase found in Wifite
2.7 WIRELESS EVIL TWIN ATTACK
Anywhere public Wi-Fi is available is an
opportunity for an attacker to use that insecure hot
spot to attack unsuspecting victims. One specific
Wi-Fi hot spot attack called an “Evil Twin” access
point can impersonate any genuine Wi-Fi hot spot.
Attackers will make sure their evil twin AP is just
like the free hot spot network, and users are then
duped when connecting to an evil twin AP and the
attacker can execute numerous attacks to take
advantage of the unaware victim.
A typical evil twin attack is illustrated in the
graphic below.
Fig. 13. Evil Twin Attack Scenario
To simulate real-world attack, we used airmon-ng
to start wireless interface into monitor mode. Then
we used easy-creds to create fake AP. Ettercap,
SSLStrip, URL Snarf, DSniff were used to sniff
user credentials.
Fig. 14. Sniffing User Data Connected to fake AP
3 MITIGATION TECHNIQUES
Choosing a particular mitigation technique for an
attack has an impact on the overall performance of
the network, because each attack has different ways
for mitigation. We used real-world scenarios to

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initiate the attacks so that we can come up with
practical and effective mitigation techniques.
Suggested mitigation techniques follow:
3.1 MAC Flooding Attack
Mitigation of the CAM table-overflow attack can
be achieved by configuring port security on the
switch. This will allow MAC addresses to be
specified on a particular switch port, or
alternatively, specify the maximum number of
MAC addresses that the switch port can learn. If an
invalid MAC address is detected on the switch port,
the port can be shut down, or the MAC address can
be blocked.
Sticky MAC addresses are also a viable solution
when implementing the mean to mitigate CAM
Table Overflows. The MAC address will be learned
when the first MAC address attempts to connect to
the port and will be written to the running
configuration. Statically a MAC address could be in
on the port also.
Packet capture from attacker machine state that,
attack ratio is random, means source and
destination is random. As a result, switch mac
address-table flooded with random mac addresses.
As a mitigation technique, we can use port
security at switch port for limited number of mac
addresses and also can bind the mac address to the
switch port. We can also use storm-control in
switch port to mitigate the attack.
Pseudocode:
3.2 DHCP Starvation Attack
DHCP Starvation Attack can be mitigated using
storm-control feature in switch port.
But before we enable storm-control in switch
port, we need to identify normal traffic pattern and
traffic rate in every switch port and compare the
normal traffic with attacker machine traffic.
According to attacker machine, traffic rate is
35000 pps during broadcast DHCP Discover
message. Let the normal traffic rate be 100 to
10000 pps. So a threshold value of 30000 pps
would do the trick. This is the most cost-effective
solution.
Pseudocode:
3.3 ARP spoofing
ARP Spoofing can be prevented in several
effective ways.
3.3.1 Static ARP table
Static Address Resolution Protocol (ARP) entry
is a permanent entry in your ARP cache. One
reason you may want to add static ARP entries is if
you have two hosts that communicate with each
other constantly throughout the day; by adding
static ARP entries for both systems in each other’s
ARP cache, you reduce some network overhead, in
the form of ARP requests and ARP replies.
3.3.2 Arpwatch
Arpwatch is an open source computer software
program that helps you to monitor Ethernet traffic
activity (like Changing IP and MAC Addresses) on
your network and maintains a database of
ethernet/ip address pairings. It produces a log of
noticed pairing of IP and MAC addresses
information along with a timestamps, so you can
carefully watch when the pairing activity appeared
on the network. It also has the option to send
reports via email to a network administrator when a
pairing added or changed.
Fig. 15. Arpwatch Detecting ARP Spoof

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3.3.3 Dynamic ARP Inspection (DAI)
ARP inspection prevents malicious users from
impersonating other hosts or routers (known as
ARP spoofing). By default, all ARP packets are
allowed through the security appliance. You can
control the flow of ARP packets by enabling ARP
inspection.
When you enable ARP inspection, the security
appliance compares the MAC address, IP address,
and source interface in all ARP packets to static
entries in the ARP table, and takes the following
actions:
If the IP address, MAC address, and source
interface match an ARP entry, the packet is passed
through. If there is a mismatch between the MAC
address, the IP address, or the interface, then the
security appliance drops the packet.
The attacker, however, sends another ARP
response to the host with the attacker MAC address
instead of the router MAC address. The attacker
can now intercept all the host traffic before
forwarding it on to the router. ARP inspection
ensures that an attacker cannot send an ARP
response with the attacker MAC address, so long as
the correct MAC address and the associated IP
address are in the static ARP table.
Another important feature of DAI is that it
implements a configurable rate-limit function that
controls the number of incoming ARP packets. This
function is particularly important because all
validation checks are performed by the CPU, and
without a rate-limiter, there could be a DoS
condition.
3.4 ICMP Flood Attack
To defend against ICMP Flood Attack, iptables
script can be applied as below:
1
iptables -N icmp_flood
2
iptables -A INPUT -p icmp -j
icmp_flood
3
iptables -A icmp_flood -m limit --
limit 1/s --limit-burst 3 -j RETURN
4
iptables -A icmp_flood -j DROP
After iptables rules is applied, if the attacker is
sending ICMP Echo Request packets continuously,
victim’s machine will not respond by sending
ICMP Echo Reply packets as all the packets are
being dropped by the firewall.
If DDoS attack is not that excessive, an
appropriate configuration of the operating system
and affected service could help to counteract the
attack. Linux kernel parameters that enable to
modify the behavior when faced with certain
circumstances. Some of these parameters can be
found in /etc/sysctl.conf.
tcp_syncookies: protects you against Syn Flood
attacks. The way it works is as follows: when the
syn segment request queue completes, the kernel
responds with a syn-ack segment as normal, but
creates a special, encrypted sequence number that
represents the source and target IP, the port and the
timestamp of the received packet. Activate syn
cookies with:
ignore_broadcasts: ICMP (echo request) packets
are sent to a broadcast address in Smurf attacks
with a false IP source. This false IP is the target of
the attack, as it receives multiple echo reply
response packets as a result of the broadcast packet
sent by the attacker. One way of deactivating the
ICMP echo-broadcast requests is by activating the
following option:
rp_filter: Known also as source route verification,
it has the same purpose as Unicast RPF (Reverse
Path Forwarding) 14 and uses Cisco routers. It is
used to check that the packets that enter via an
interface are accessible based on the source address,
making it possible to detect IP Spoofing:
For attacks that are performed by programs like
LOIC, it is also possible to implement measures
using iptables and hashlimit modules to limit the
number of packets that you want a particular
service to accept.

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The clauses hashlimit-burst and hashlimit-upto
set the maximum size of the bucket and the number
of IP packets that limit the connections to port 80.
You can also take steps to resist numerous
forceful attacks at services such as ssh, ftp, etc. by
limiting the number of IPs allowed per minute.
Regardless of the measures adopted in the
operating system, it is recommended that public
services such as web services, FTP, DNS, etc
located in a DMZ (Demilitarized Zone) are made
secure separate to the rest. For example, in the case
of Apache it would be very useful to give it
modules such as mod_evasive, mod_antiloris,
mod_security, mod_reqtimeout or similar to help
fight against a great variety of DDoS attacks
against this platform.
3.5 WiFi Jamming Attack
Jamming attack detection is the prerequisite of
jamming attack mitigation method. It is so
important that the operation of jamming attack
mitigation cannot be performed unless the jamming
attack has been detected. It is a big challenge to
detect the jammers because there are different kinds
of jammers and even the same jammer can switch
between different jamming models or jamming
powers. There are also lots of network conditions,
such as low throughput, normal communication,
congestion, and so on, which have similarity with
the jammed network, making it difficult to
distinguish the jamming situations from legitimate
ones. The jamming attacks should also be
differentiated from the special circumstances, such
as system power off, operating system hung up,
antenna problems, communicating distance and so
on, which may also lead to the similar results as the
jamming attacking. For example, if the attack
occurred on an RF corresponding to channel 1, the
access point should switch to channel 6 or 11 in
order to avoid the attack. However, selecting a
different channel does not always eliminate the
issue of interference. An experienced attacker will
often use all available channels in the attack.
The nature of the Wi-Fi jamming attack relies on
the discovery of ESSID and BSSID of the Access
Point or Wireless Router. So the best way to
mitigate Wi-Fi jamming attack is to disable SSID
broadcast. The attacker machine will not find the
ESSID and BSSID and channel number for attack.
3.6 WiFi Hacking
The Mitigation of Wi-Fi Hacking requires strict
implementation of security policies throughout the
network.
3.6.1 Security Policy
Wireless LAN implementation in a large
corporation without any security policies will put
the corporation at serious risk. In fact, all
organizations should have a security policy in
regards to wireless LAN infrastructure in place
before reaching the deployment stage.
i. Before implementing a wireless LAN and
during the planning phase, you need to know
who are your users and where are they seated
in order to ensure the access point signal is
adequate to cover the necessary areas.
ii. Scanning and detecting for rogue access points
on the corporate network regularly is a must.
iii. The default management passwords and SSIDs
on access points should be changed prior to
installing them into corporate network. Strong
passwords should be used when changing the
passwords with at least 8 characters in length.
iv. Educate users to be aware of security &
Enforcing that employees should not rogue
access points into the corporate network.
3.6.2 Network Level Security
i. Isolation of Wireless LAN
The wireless LAN should be implemented on
another network separate from your internal
wired LAN. This means that the access points
should be installed on a separate network with
a firewall in placed between the wireless
network and the wired corporate network.
ii. Securing Wireless LAN with VPN Solution
As discussed earlier, there are many security
vulnerabilities found with WEP. It is
recommended to include Virtual Private
Network (VPN) solution into your wireless
LAN to ensure secure wireless connections.

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iii. Authentication and Authorization via RADIUS
Before allowing a wireless client to connect
and access to the corporate private network, it
is a must to validate or authenticate that client.
This can be achieved by using 802.1X
authentication on a remote authentication dial-
in user service (RADIUS) server.
iv. Handling the SSIDS
The default SSIDs on the access points should
be changed prior to installation into the
corporate network. Disable the broadcast SSID
option though attacker can sniff the SSID by
using Kismet software.
v. Handling the SSIDS
Access Control via MAC Addresses and IP
Addresses
Access points can be configured to filter MAC
addresses to control users connecting to your
corporate wireless network. This means those users
with valid MAC addresses that had been configured
on access points will be allowed connectivity to the
wireless network.
3.7 Wireless Evil Twin Attack
In most existing techniques the detection of the
attack is performed by the network not by the users.
One of the original ways of doing so was by the
manual detection using software like Netstumbler,
by the administration of the network.
AirDefense uses a combination of radio-
frequency sensors jointly with an intrusion
detection server, capturing, processing and
correlating network events trying to find APs with
unknown fingerprints.
Wavelink is mobile device management that
features a software installed on each mobile client
to detect connectivity faults. Among other things
the client software reports to a central server any
AP seen and its location which is than matched
with a list of legal Aps.
Other solutions like RIPPs use different
approaches to detect wireless traffic in wired
networks to detect the existing of illegal APs.
However, most of these solutions suffer from
some, or all, of the following problems:
- They do require complete coverage of the
network otherwise rogue APs may go
undetected.
- They may flag a normal AP as rogue. For
instance, the access point of a nearby coffee
shop.
- They do not work for rogue APs that possess
authentication
- They may access unauthorized networks in
the process of testing all the available APs in
the vicinity.
- And finally, they are ineffective in reacting
to short time attacks. For instance, if an
attack is detected on some area of an airport
how do we go and alert the users; it may be
too late.
To date, Evil Twin attack can most effectively be
mitigated through Multi-hop Detection.
4 CONCLUSION
In this research, we tried to describe several ways
of analyzing traffic depending on the circumstances
and the available means, as well as providing
examples of some common attacks used on local
area networks to mitigate or at least moderate the
impact that these generate on the performance of
your network. There are several areas of potential
future work in this area that could be explored.
This study attempted to test as many types of
common enterprise configurations as possible but
left out several that are in use or will continue to
grow in the future Although this study attempted to
record data as accurately as possible it could be
done even more accurately if an automated process
was developed to track throughput over a period of
time and report the results.
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AUTHOR
PROFILES:
Umme Salsabil received the
degree in Bachelor of Science in
Electrical and Electronics
Engineering from American
International University-
Bangladesh in 2012. She is a
research student under Faculty of Engineering
at AIUB pursuing Master of Science in
Electrical and Electronics Engineering
majoring in Communication Engineering.
Currently, she is working as an Instructor
under Continuing Education Center at
American International University-Bangladesh.
Her interests are in wired and wireless LAN
security.
M. Tanseer Ali received his
PhD degree in Electrical and
Electronics engineering from
University of Greenwich, UK.
Currently, he is serving as an
Assistant Professor under Faculty of
Engineering at American International
University-Bangladesh. His research interests
include Telecommunication Engineering and
Power System Dynamics.
Md. Manirul Islam received his
B.Sc. in Computer Engineering
from University of Baguio and
MSc. in IT from Saint Louis
University. Currently, he is
serving as an Assistant Professor under Faculty
of Science and Information Technology and
Director, Continuing Education Center at
American International University-Bangladesh.
His research interests include Network
Intrusion Detection and Wireless Sensor
Networks.