Cloud security
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This document discusses security risks and recommendations for cloud computing. The top threats to cloud security are data breaches, data loss, account hijacking, insecure interfaces and APIs, denial of service attacks, malicious insiders, insufficient due diligence, abuse of cloud services, and shared technology vulnerabilities. Virtual machines (VMs) are also vulnerable via VM attacks between VMs on the same physical server, increased attack surface from multitenancy, and hypervisor attacks that can control all VMs and systems. The document recommends security measures like security information and event management (SIEM), identity and access management (IAM), data dispersion, data leakage prevention (DLP), bit splitting, cloud monitoring, load balancing, effective exit processes, and
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Cloud computing has emerged and paved its way forward at an unprecedented pace. It has managed to simultaneously transform business and government giving rise to new security challenges. The emergence of the cloud service model provides business supporting technology with an increased efficiency than ever before. The paradigm shift from server to service has revolutionized the way IT departments think, design, and provide computing solutions and applications. Yet, these revolutions have given birth to new security challenges – the full impact of which is yet to be determined.
REPORT1 new
The document summarizes a project report on implementing a model for security in the cloud using a dynamic firewall restriction algorithm. The report includes an abstract describing the proposed security architecture that provides flexible security as a service for cloud tenants and customers. It then outlines the various chapters in the report, including an introduction, literature survey, analysis, module descriptions, implementation details, future work, and conclusions. The proposed system aims to implement an effective firewall security at the tenant level to block unauthorized access and filter unwanted requests before they reach virtual machines in the cloud.
VANET-Guo.ppt
This document presents an overview of Vehicular Ad-Hoc Networks (VANETs). It discusses the system model, including network nodes like vehicles and roadside infrastructure that communicate. The communication model describes frequent broadcast communication between nearby nodes. Security requirements are outlined, such as message authentication, non-repudiation, and privacy. The adversary model considers both external and internal active and passive attackers. Design principles for VANET security are also presented, including accountability, separation of privilege, and privacy conservation.
O C T O B E R 2 0 1 4 V O L . 5 7 N O . 1 0 .docx
O C T O B E R 2 0 1 4 | V O L . 5 7 | N O . 1 0 | C O M M U N I C AT I O N S O F T H E A C M 25
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Inside Risks
Risks and Myths
of Cloud Computing
and Cloud Storage
Considering existing and new types of risks inherent in cloud services.
insider misuse may create additional
risks. All these risks are relevant to many
different types of applications. As one
example, from users’ perspectives, hav-
ing unencrypted email maintained by a
cloud provider may be particularly risky.
The basic concept of cloud comput-
ing and cloud storage has a lineage
spanning two generations, with sig-
nificant experience in designing and
administering these systems. Time-
C
L O U D C O M P U T I N G A N D stor-
age are often seen as gen-
eral blessings, if not finan-
cial salvations. There are
good reasons behind this
claim. Cloud services are indeed usu-
ally much cheaper than their dedi-
cated counterparts. Administration
and management oversight are sim-
pler under a single, central authority.
Small businesses and startups have
taken advantage, using low-cost cloud
services during their first few years.
Cloud platforms are critical avenues
to getting started for many companies,
giving them access to many customers
at low cost. Many business leaders see
the cloud as an engine for small busi-
nesses and job creation.
Cloud storage services are also a
boon for individual users, most of
whom do not back up their comput-
ers and mobile devices regularly or at
all. Cheap, automatic backup to cloud
storage protects their valuable data
from loss.
Despite all these bounties, cloud ser-
vices also present new kinds of risks,
which are considered here. Prospective
cloud users should evaluate these risks
before making their decisions about
how to use clouds. The main issue is that
expectations of trustworthiness may be
unrealistic. Confidentiality, system in-
tegrity, data integrity, reliability, robust-
ness, resilience may be questionable.
Protection against surveillance, and
denials of service are essential, as are
perpetual access and long-term com-
patibility of stored data. The integrity,
accountability, and trustworthiness of
potentially untrustworthy third parties
and even unknown nth parties must
also be considered. Those parties may
have business models that are radically
incompatible with user needs; further-
more, they might go out of business—
with users holding the bag. Moreover,
DOI:10.1145/2661049 Peter G. Neumann
http://dx.doi.org/10.1145/2661049
26 C O M M U N I C AT I O N S O F T H E A C M | O C T O B E R 2 0 1 4 | V O L . 5 7 | N O . 1 0
viewpoints
compromises can be found in the ACM
Risks Forum: http://www.risks.org.)
˲ Dropbox’s sharing services were
hacked, resulting from a security hole
in its link-sharing scheme. The ex-
ploits were also disseminated by the
perpetrator ...
O C T O B E R 2 0 1 4 V O L . 5 7 N O . 1 0 .docx
O C T O B E R 2 0 1 4 | V O L . 5 7 | N O . 1 0 | C O M M U N I C AT I O N S O F T H E A C M 25
V
viewpoints
I
M
A
G
E
B
Y
P
O
T
A
P
O
V
A
L
E
X
A
N
D
E
R
Inside Risks
Risks and Myths
of Cloud Computing
and Cloud Storage
Considering existing and new types of risks inherent in cloud services.
insider misuse may create additional
risks. All these risks are relevant to many
different types of applications. As one
example, from users’ perspectives, hav-
ing unencrypted email maintained by a
cloud provider may be particularly risky.
The basic concept of cloud comput-
ing and cloud storage has a lineage
spanning two generations, with sig-
nificant experience in designing and
administering these systems. Time-
C
L O U D C O M P U T I N G A N D stor-
age are often seen as gen-
eral blessings, if not finan-
cial salvations. There are
good reasons behind this
claim. Cloud services are indeed usu-
ally much cheaper than their dedi-
cated counterparts. Administration
and management oversight are sim-
pler under a single, central authority.
Small businesses and startups have
taken advantage, using low-cost cloud
services during their first few years.
Cloud platforms are critical avenues
to getting started for many companies,
giving them access to many customers
at low cost. Many business leaders see
the cloud as an engine for small busi-
nesses and job creation.
Cloud storage services are also a
boon for individual users, most of
whom do not back up their comput-
ers and mobile devices regularly or at
all. Cheap, automatic backup to cloud
storage protects their valuable data
from loss.
Despite all these bounties, cloud ser-
vices also present new kinds of risks,
which are considered here. Prospective
cloud users should evaluate these risks
before making their decisions about
how to use clouds. The main issue is that
expectations of trustworthiness may be
unrealistic. Confidentiality, system in-
tegrity, data integrity, reliability, robust-
ness, resilience may be questionable.
Protection against surveillance, and
denials of service are essential, as are
perpetual access and long-term com-
patibility of stored data. The integrity,
accountability, and trustworthiness of
potentially untrustworthy third parties
and even unknown nth parties must
also be considered. Those parties may
have business models that are radically
incompatible with user needs; further-
more, they might go out of business—
with users holding the bag. Moreover,
DOI:10.1145/2661049 Peter G. Neumann
http://dx.doi.org/10.1145/2661049
26 C O M M U N I C AT I O N S O F T H E A C M | O C T O B E R 2 0 1 4 | V O L . 5 7 | N O . 1 0
viewpoints
compromises can be found in the ACM
Risks Forum: http://www.risks.org.)
˲ Dropbox’s sharing services were
hacked, resulting from a security hole
in its link-sharing scheme. The ex-
ploits were also disseminated by the
perpetrator.
Dynamic Routing to Alleviate Congestion with Authentication for Mobile Wirele...
Communication over mobile Wireless Sensor Networks is becoming extremely popular. Handover over multiple access points is highly desirable to mobile nodes, but ensuring security and efficiency of this process is challenging. A novel handover authentication protocol named Pair-Hand is implemented in the present work. Pair-Hand uses pairing-based cryptography to secure handover process and to achieve high efficiency. An efficient batch signature verification scheme is incorporated into PairHand. The congestion problem in Wireless Sensor Networks (WSNs) during handover process is quite different from that in traditional networks. A traffic-aware dynamic routing (TADR) algorithm is proposed to route packets around the congestion areas and scatter the excessive packets along multiple paths consisting of idle or underloaded nodes. TADR improves overall throughput in WSNs. Experiments using our implementation on laptop PCs show that Pair-Hand is feasible in real applications
MACHINE LEARNING ALGORITHM OF DETECTION OF DOS ATTACKS ON AN AUTOMOTIVE TELEM...
Today vehicles are connected to private networks which are owned by the car manufacturer. But in coming years, vehicles become more and more connected to the public Internet for infotainment applications but also to safety applications. Like any Internet terminal, some hackers can attack the wireless connectivity unit of the vehicle with Distribution Denial of Services (DDOS) attacks, so that the wireless connectivity
unit of the vehicle is not available and the service is lost. Therefore, it is critical to developing a mechanism
to detect such an attack and eliminate it, to maintain the availability of the wireless connectivity unit. This paper proposes an algorithm which proceeds in 2 steps: it uses an unsupervised machine learning algorithm to detect DDOS attacks in the incoming Internet data. When it detects an attack, it uses the
results of the machine learning algorithm to split the legitimate flow and the rogue flows. The rogue flow is filtered so that the availability of the wireless connectivity unit of the vehicle is restored. This proposed algorithm needs very few CPU computing power and is compatible with low-cost CPUs which are used in an automotive wireless connectivity unit.
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Cloud security
- 1. CLOUD SECURITY BY PURVA DUBLAY
- 3. THIS ILLUSTRATION SHOWS THE POSSIBLE COMMUNICATION PATHS BETWEEN FIVE ACTORS.
- 4. RISK ASSESSMENT IN CLOUD COMPUTING TOPMOST THREATS IN CLOUD COMPUTING – DATA BREACHES - DATA LOSS - ACCOUNT OR SERVICE TRAFFIC HIJACKING - INSECURE INTERFACE AND APIS – DENIAL OF SERVICE – MALICIOUS INSIDERS - INSUFFICIENT DUE DILIGENCE - ABUSE OF CLOUD SERVICES - SHARED TECHNOLOGY VULNERABILITIES -
- 5. VIRTUAL MACHINE VULNERABILITIES DRAWBACKS OF VIRTUAL MACHINE : - VM ATTACKS - CLOUD SERVER CONTAINS MORE THAN ONE VMS. ONCE VM IS COMPROMISED, VMS ON THE SAME PHYSICAL SERVER CAN ATTACK EACH OTHER AS THEY SHARE THE SAME RESOURCES. MULTITENANCY - BY DESIGN, CLOUD SHARE THE SAME SOFTWARE AND HARDWARE SOURCE TO RUN THEIR VMS. AS A RESULT, INFORMATION LEAKAGE AND INCREASE IN THE ATTACK SURFACE CAN OCCUR. HYPERVISOR ATTACKS - ATTACKER OFTEN CONSIDER HYPERVISOR AS A POTENTIAL TARGET BECAUSE OF ITS ABILITY TO CONTROL OVER ALL INSTALLED VMS, THE PHYSICAL SYSTEM AND THE HOSTED APPLICATIONS. EX. HYPER JACKING, VM ESCAPE.
- 6. SECURITY STANDARDS RECOMMENDATIONS SIEM - Identity Access Management (IAM) – Data Dispersion – Data Leakage Prevention (DLP) – Bit Splitting – Cloud-watch - Load Balancer – Ensure Effective Exit Process – Disaster Recovery Plan -
- 7. REFRENCES Guidelines on Security and Privacy in Public Cloud Computing - http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800- 144.pdf Cloud Security Alliance - https://cloudsecurityalliance.org/group/security- as-a-service/#_downloads Cloud standards Customer Council - http://www.cloud-council.org/ Security and Privacy Controls for Federal Information Systems and Organizations - http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-53r4.pdf